✨BEAVER: An Efficient Deterministic LLM Verifier
📝 Summary:
BEAVER is the first practical framework providing deterministic, sound probability bounds for verifying LLM output constraints. It achieves 6-8 times tighter bounds and identifies more high-risk instances than baseline methods, enabling precise risk assessment for LLMs.
🔹 Publication Date: Published on Dec 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.05439
• PDF: https://arxiv.org/pdf/2512.05439
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#LLM #AI #LLMVerification #MachineLearning #AISafety
📝 Summary:
BEAVER is the first practical framework providing deterministic, sound probability bounds for verifying LLM output constraints. It achieves 6-8 times tighter bounds and identifies more high-risk instances than baseline methods, enabling precise risk assessment for LLMs.
🔹 Publication Date: Published on Dec 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.05439
• PDF: https://arxiv.org/pdf/2512.05439
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#LLM #AI #LLMVerification #MachineLearning #AISafety
❤1
✨VibeVoice Technical Report
📝 Summary:
VibeVoice synthesizes long-form multi-speaker speech using next-token diffusion. It introduces a highly efficient continuous speech tokenizer, achieving 80x better compression than Encodec while maintaining fidelity. This enables superior generation of up to 90 minutes of speech for four speakers.
🔹 Publication Date: Published on Aug 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.19205
• PDF: https://arxiv.org/pdf/2508.19205
• Project Page: https://microsoft.github.io/VibeVoice/
• Github: https://huggingface.co/collections/microsoft/vibevoice
🔹 Models citing this paper:
• https://huggingface.co/microsoft/VibeVoice-1.5B
• https://huggingface.co/microsoft/VibeVoice-Realtime-0.5B
• https://huggingface.co/aoi-ot/VibeVoice-Large
✨ Spaces citing this paper:
• https://huggingface.co/spaces/ChaitanyaChandra/VibeVoice
• https://huggingface.co/spaces/lths/VibeVoice-Demo
• https://huggingface.co/spaces/anycoderapps/VibeVoice-Realtime-0.5B
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#SpeechSynthesis #AI #DiffusionModels #GenerativeAI #AudioTech
📝 Summary:
VibeVoice synthesizes long-form multi-speaker speech using next-token diffusion. It introduces a highly efficient continuous speech tokenizer, achieving 80x better compression than Encodec while maintaining fidelity. This enables superior generation of up to 90 minutes of speech for four speakers.
🔹 Publication Date: Published on Aug 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.19205
• PDF: https://arxiv.org/pdf/2508.19205
• Project Page: https://microsoft.github.io/VibeVoice/
• Github: https://huggingface.co/collections/microsoft/vibevoice
🔹 Models citing this paper:
• https://huggingface.co/microsoft/VibeVoice-1.5B
• https://huggingface.co/microsoft/VibeVoice-Realtime-0.5B
• https://huggingface.co/aoi-ot/VibeVoice-Large
✨ Spaces citing this paper:
• https://huggingface.co/spaces/ChaitanyaChandra/VibeVoice
• https://huggingface.co/spaces/lths/VibeVoice-Demo
• https://huggingface.co/spaces/anycoderapps/VibeVoice-Realtime-0.5B
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#SpeechSynthesis #AI #DiffusionModels #GenerativeAI #AudioTech
arXiv.org
VibeVoice Technical Report
This report presents VibeVoice, a novel model designed to synthesize long-form speech with multiple speakers by employing next-token diffusion, which is a unified method for modeling continuous...
❤1
✨Omni-Attribute: Open-vocabulary Attribute Encoder for Visual Concept Personalization
📝 Summary:
Omni-Attribute is an open-vocabulary image attribute encoder that learns disentangled, attribute-specific representations. This enables precise visual concept personalization and compositional generation, outperforming entangled holistic embeddings via novel data and dual-objective training.
🔹 Publication Date: Published on Dec 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.10955
• PDF: https://arxiv.org/pdf/2512.10955
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
Omni-Attribute is an open-vocabulary image attribute encoder that learns disentangled, attribute-specific representations. This enables precise visual concept personalization and compositional generation, outperforming entangled holistic embeddings via novel data and dual-objective training.
🔹 Publication Date: Published on Dec 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.10955
• PDF: https://arxiv.org/pdf/2512.10955
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
✨The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning
📝 Summary:
The Well is a 15TB dataset collection of 16 diverse physics simulations designed to benchmark machine learning models. It addresses the need for varied data across domains like fluid dynamics and biological systems, offering a unified PyTorch interface.
🔹 Publication Date: Published on Nov 30, 2024
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2412.00568
• PDF: https://arxiv.org/pdf/2412.00568
• Github: https://github.com/PolymathicAI/the_well
✨ Datasets citing this paper:
• https://huggingface.co/datasets/polymathic-ai/gray_scott_reaction_diffusion
• https://huggingface.co/datasets/polymathic-ai/rayleigh_benard
• https://huggingface.co/datasets/polymathic-ai/post_neutron_star_merger
✨ Spaces citing this paper:
• https://huggingface.co/spaces/polymathic-ai/TheWell
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
The Well is a 15TB dataset collection of 16 diverse physics simulations designed to benchmark machine learning models. It addresses the need for varied data across domains like fluid dynamics and biological systems, offering a unified PyTorch interface.
🔹 Publication Date: Published on Nov 30, 2024
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2412.00568
• PDF: https://arxiv.org/pdf/2412.00568
• Github: https://github.com/PolymathicAI/the_well
✨ Datasets citing this paper:
• https://huggingface.co/datasets/polymathic-ai/gray_scott_reaction_diffusion
• https://huggingface.co/datasets/polymathic-ai/rayleigh_benard
• https://huggingface.co/datasets/polymathic-ai/post_neutron_star_merger
✨ Spaces citing this paper:
• https://huggingface.co/spaces/polymathic-ai/TheWell
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
arXiv.org
The Well: a Large-Scale Collection of Diverse Physics Simulations...
Machine learning based surrogate models offer researchers powerful tools for accelerating simulation-based workflows. However, as standard datasets in this space often cover small classes of...
✨DuetSVG: Unified Multimodal SVG Generation with Internal Visual Guidance
📝 Summary:
DuetSVG generates both image and SVG tokens end-to-end, improving SVG quality with a test-time scaling strategy. AI-generated summary Recent vision-language model ( VLM )-based approaches have achieve...
🔹 Publication Date: Published on Dec 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.10894
• PDF: https://arxiv.org/pdf/2512.10894
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
DuetSVG generates both image and SVG tokens end-to-end, improving SVG quality with a test-time scaling strategy. AI-generated summary Recent vision-language model ( VLM )-based approaches have achieve...
🔹 Publication Date: Published on Dec 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.10894
• PDF: https://arxiv.org/pdf/2512.10894
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
This media is not supported in your browser
VIEW IN TELEGRAM
✨DragMesh: Interactive 3D Generation Made Easy
📝 Summary:
DragMesh is a real-time interactive 3D framework decoupling kinematic reasoning from motion generation. It uses a DQ-VAE and FiLM conditioning to achieve plausible, generative articulation on novel objects without retraining.
🔹 Publication Date: Published on Dec 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.06424
• PDF: https://arxiv.org/pdf/2512.06424
• Project Page: https://aigeeksgroup.github.io/DragMesh/
• Github: https://github.com/AIGeeksGroup/DragMesh
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
DragMesh is a real-time interactive 3D framework decoupling kinematic reasoning from motion generation. It uses a DQ-VAE and FiLM conditioning to achieve plausible, generative articulation on novel objects without retraining.
🔹 Publication Date: Published on Dec 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.06424
• PDF: https://arxiv.org/pdf/2512.06424
• Project Page: https://aigeeksgroup.github.io/DragMesh/
• Github: https://github.com/AIGeeksGroup/DragMesh
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
❤2
🤖🧠 S3PRL Toolkit: Advancing Self-Supervised Speech Representation Learning
🗓️ 13 Dec 2025
📚 AI News & Trends
The field of speech technology has witnessed a transformative shift in recent years, powered by the rise of self-supervised learning (SSL). Instead of relying on large amounts of labeled data, self-supervised models learn from the patterns and structures inherent in raw audio, enabling powerful and general-purpose speech representations. At the forefront of this innovation stands ...
#S3PRL #SelfSupervisedLearning #SpeechTechnology #SSL #SpeechRepresentationLearning #AI
🗓️ 13 Dec 2025
📚 AI News & Trends
The field of speech technology has witnessed a transformative shift in recent years, powered by the rise of self-supervised learning (SSL). Instead of relying on large amounts of labeled data, self-supervised models learn from the patterns and structures inherent in raw audio, enabling powerful and general-purpose speech representations. At the forefront of this innovation stands ...
#S3PRL #SelfSupervisedLearning #SpeechTechnology #SSL #SpeechRepresentationLearning #AI
❤2
🚀 Master Data Science & Programming!
Unlock your potential with this curated list of Telegram channels. Whether you need books, datasets, interview prep, or project ideas, we have the perfect resource for you. Join the community today!
🔰 Machine Learning with Python
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
https://news.1rj.ru/str/CodeProgrammer
🔖 Machine Learning
Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.
https://news.1rj.ru/str/DataScienceM
🧠 Code With Python
This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA – perfect for learning, coding, and mastering key programming skills.
https://news.1rj.ru/str/DataScience4
🎯 PyData Careers | Quiz
Python Data Science jobs, interview tips, and career insights for aspiring professionals.
https://news.1rj.ru/str/DataScienceQ
💾 Kaggle Data Hub
Your go-to hub for Kaggle datasets – explore, analyze, and leverage data for Machine Learning and Data Science projects.
https://news.1rj.ru/str/datasets1
🧑🎓 Udemy Coupons | Courses
The first channel in Telegram that offers free Udemy coupons
https://news.1rj.ru/str/DataScienceC
😀 ML Research Hub
Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.
https://news.1rj.ru/str/DataScienceT
💬 Data Science Chat
An active community group for discussing data challenges and networking with peers.
https://news.1rj.ru/str/DataScience9
🐍 Python Arab| بايثون عربي
The largest Arabic-speaking group for Python developers to share knowledge and help.
https://news.1rj.ru/str/PythonArab
🖊 Data Science Jupyter Notebooks
Explore the world of Data Science through Jupyter Notebooks—insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
https://news.1rj.ru/str/DataScienceN
📺 Free Online Courses | Videos
Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
https://news.1rj.ru/str/DataScienceV
📈 Data Analytics
Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making.
https://news.1rj.ru/str/DataAnalyticsX
🎧 Learn Python Hub
Master Python with step-by-step courses – from basics to advanced projects and practical applications.
https://news.1rj.ru/str/Python53
⭐️ Research Papers
Professional Academic Writing & Simulation Services
https://news.1rj.ru/str/DataScienceY
━━━━━━━━━━━━━━━━━━
Admin: @HusseinSheikho
Unlock your potential with this curated list of Telegram channels. Whether you need books, datasets, interview prep, or project ideas, we have the perfect resource for you. Join the community today!
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
https://news.1rj.ru/str/CodeProgrammer
Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.
https://news.1rj.ru/str/DataScienceM
This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA – perfect for learning, coding, and mastering key programming skills.
https://news.1rj.ru/str/DataScience4
Python Data Science jobs, interview tips, and career insights for aspiring professionals.
https://news.1rj.ru/str/DataScienceQ
Your go-to hub for Kaggle datasets – explore, analyze, and leverage data for Machine Learning and Data Science projects.
https://news.1rj.ru/str/datasets1
The first channel in Telegram that offers free Udemy coupons
https://news.1rj.ru/str/DataScienceC
Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.
https://news.1rj.ru/str/DataScienceT
An active community group for discussing data challenges and networking with peers.
https://news.1rj.ru/str/DataScience9
The largest Arabic-speaking group for Python developers to share knowledge and help.
https://news.1rj.ru/str/PythonArab
Explore the world of Data Science through Jupyter Notebooks—insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
https://news.1rj.ru/str/DataScienceN
Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
https://news.1rj.ru/str/DataScienceV
Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making.
https://news.1rj.ru/str/DataAnalyticsX
Master Python with step-by-step courses – from basics to advanced projects and practical applications.
https://news.1rj.ru/str/Python53
Professional Academic Writing & Simulation Services
https://news.1rj.ru/str/DataScienceY
━━━━━━━━━━━━━━━━━━
Admin: @HusseinSheikho
Please open Telegram to view this post
VIEW IN TELEGRAM
❤1
✨Promptomatix: An Automatic Prompt Optimization Framework for Large Language Models
📝 Summary:
Promptomatix automates LLM prompt optimization, transforming natural language into high-quality prompts without manual tuning. This framework improves performance and efficiency across tasks, reducing prompt length and computational overhead.
🔹 Publication Date: Published on Jul 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2507.14241
• PDF: https://arxiv.org/pdf/2507.14241
• Github: https://github.com/SalesforceAIResearch/promptomatix
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#LLM #PromptEngineering #AI #MachineLearning #AIOptimization
📝 Summary:
Promptomatix automates LLM prompt optimization, transforming natural language into high-quality prompts without manual tuning. This framework improves performance and efficiency across tasks, reducing prompt length and computational overhead.
🔹 Publication Date: Published on Jul 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2507.14241
• PDF: https://arxiv.org/pdf/2507.14241
• Github: https://github.com/SalesforceAIResearch/promptomatix
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#LLM #PromptEngineering #AI #MachineLearning #AIOptimization
❤3
🚀 Master Data Science & Programming!
Unlock your potential with this curated list of Telegram channels. Whether you need books, datasets, interview prep, or project ideas, we have the perfect resource for you. Join the community today!
🔰 Machine Learning with Python
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
https://news.1rj.ru/str/CodeProgrammer
🔖 Machine Learning
Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.
https://news.1rj.ru/str/DataScienceM
🧠 Code With Python
This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA – perfect for learning, coding, and mastering key programming skills.
https://news.1rj.ru/str/DataScience4
🎯 PyData Careers | Quiz
Python Data Science jobs, interview tips, and career insights for aspiring professionals.
https://news.1rj.ru/str/DataScienceQ
💾 Kaggle Data Hub
Your go-to hub for Kaggle datasets – explore, analyze, and leverage data for Machine Learning and Data Science projects.
https://news.1rj.ru/str/datasets1
🧑🎓 Udemy Coupons | Courses
The first channel in Telegram that offers free Udemy coupons
https://news.1rj.ru/str/DataScienceC
😀 ML Research Hub
Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.
https://news.1rj.ru/str/DataScienceT
💬 Data Science Chat
An active community group for discussing data challenges and networking with peers.
https://news.1rj.ru/str/DataScience9
🐍 Python Arab| بايثون عربي
The largest Arabic-speaking group for Python developers to share knowledge and help.
https://news.1rj.ru/str/PythonArab
🖊 Data Science Jupyter Notebooks
Explore the world of Data Science through Jupyter Notebooks—insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
https://news.1rj.ru/str/DataScienceN
📺 Free Online Courses | Videos
Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
https://news.1rj.ru/str/DataScienceV
📈 Data Analytics
Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making.
https://news.1rj.ru/str/DataAnalyticsX
🎧 Learn Python Hub
Master Python with step-by-step courses – from basics to advanced projects and practical applications.
https://news.1rj.ru/str/Python53
⭐️ Research Papers
Professional Academic Writing & Simulation Services
https://news.1rj.ru/str/DataScienceY
━━━━━━━━━━━━━━━━━━
Admin: @HusseinSheikho
Unlock your potential with this curated list of Telegram channels. Whether you need books, datasets, interview prep, or project ideas, we have the perfect resource for you. Join the community today!
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
https://news.1rj.ru/str/CodeProgrammer
Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.
https://news.1rj.ru/str/DataScienceM
This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA – perfect for learning, coding, and mastering key programming skills.
https://news.1rj.ru/str/DataScience4
Python Data Science jobs, interview tips, and career insights for aspiring professionals.
https://news.1rj.ru/str/DataScienceQ
Your go-to hub for Kaggle datasets – explore, analyze, and leverage data for Machine Learning and Data Science projects.
https://news.1rj.ru/str/datasets1
The first channel in Telegram that offers free Udemy coupons
https://news.1rj.ru/str/DataScienceC
Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.
https://news.1rj.ru/str/DataScienceT
An active community group for discussing data challenges and networking with peers.
https://news.1rj.ru/str/DataScience9
The largest Arabic-speaking group for Python developers to share knowledge and help.
https://news.1rj.ru/str/PythonArab
Explore the world of Data Science through Jupyter Notebooks—insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
https://news.1rj.ru/str/DataScienceN
Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
https://news.1rj.ru/str/DataScienceV
Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making.
https://news.1rj.ru/str/DataAnalyticsX
Master Python with step-by-step courses – from basics to advanced projects and practical applications.
https://news.1rj.ru/str/Python53
Professional Academic Writing & Simulation Services
https://news.1rj.ru/str/DataScienceY
━━━━━━━━━━━━━━━━━━
Admin: @HusseinSheikho
Please open Telegram to view this post
VIEW IN TELEGRAM
❤2
✨DentalGPT: Incentivizing Multimodal Complex Reasoning in Dentistry
📝 Summary:
DentalGPT is a specialized dental multimodal LLM. It improves fine-grained visual understanding and reasoning using a large dataset and reinforcement learning. DentalGPT achieves superior performance in dental disease classification and VQA.
🔹 Publication Date: Published on Dec 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.11558
• PDF: https://arxiv.org/pdf/2512.11558
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#DentalGPT #DentistryAI #LLM #MultimodalAI #HealthcareTech
📝 Summary:
DentalGPT is a specialized dental multimodal LLM. It improves fine-grained visual understanding and reasoning using a large dataset and reinforcement learning. DentalGPT achieves superior performance in dental disease classification and VQA.
🔹 Publication Date: Published on Dec 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.11558
• PDF: https://arxiv.org/pdf/2512.11558
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#DentalGPT #DentistryAI #LLM #MultimodalAI #HealthcareTech
✨SVG-T2I: Scaling Up Text-to-Image Latent Diffusion Model Without Variational Autoencoder
📝 Summary:
SVG-T2I enables high-quality text-to-image synthesis directly in the Visual Foundation Model feature domain. This scaled framework achieves competitive performance without a variational autoencoder, validating VFM representations for generative tasks.
🔹 Publication Date: Published on Dec 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.11749
• PDF: https://arxiv.org/pdf/2512.11749
• Github: https://github.com/KlingTeam/SVG-T2I
🔹 Models citing this paper:
• https://huggingface.co/KlingTeam/SVG-T2I
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#TextToImage #DiffusionModels #GenerativeAI #VisualFoundationModels #DeepLearning
📝 Summary:
SVG-T2I enables high-quality text-to-image synthesis directly in the Visual Foundation Model feature domain. This scaled framework achieves competitive performance without a variational autoencoder, validating VFM representations for generative tasks.
🔹 Publication Date: Published on Dec 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.11749
• PDF: https://arxiv.org/pdf/2512.11749
• Github: https://github.com/KlingTeam/SVG-T2I
🔹 Models citing this paper:
• https://huggingface.co/KlingTeam/SVG-T2I
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#TextToImage #DiffusionModels #GenerativeAI #VisualFoundationModels #DeepLearning
This media is not supported in your browser
VIEW IN TELEGRAM
✨V-RGBX: Video Editing with Accurate Controls over Intrinsic Properties
📝 Summary:
V-RGBX is an end-to-end framework for intrinsic-aware video editing. It combines video inverse rendering with photorealistic synthesis and keyframe editing of intrinsic properties. This allows consistent, physically plausible video manipulation, like relighting or object appearance changes.
🔹 Publication Date: Published on Dec 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.11799
• PDF: https://arxiv.org/pdf/2512.11799
• Project Page: https://aleafy.github.io/vrgbx/
• Github: https://github.com/Aleafy/V-RGBX
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#VideoEditing #ComputerVision #InverseRendering #NeuralRendering #Graphics
📝 Summary:
V-RGBX is an end-to-end framework for intrinsic-aware video editing. It combines video inverse rendering with photorealistic synthesis and keyframe editing of intrinsic properties. This allows consistent, physically plausible video manipulation, like relighting or object appearance changes.
🔹 Publication Date: Published on Dec 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.11799
• PDF: https://arxiv.org/pdf/2512.11799
• Project Page: https://aleafy.github.io/vrgbx/
• Github: https://github.com/Aleafy/V-RGBX
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#VideoEditing #ComputerVision #InverseRendering #NeuralRendering #Graphics
Media is too big
VIEW IN TELEGRAM
✨The N-Body Problem: Parallel Execution from Single-Person Egocentric Video
📝 Summary:
A model learns to parallelize tasks from a single egocentric video by addressing spatial and object conflicts, achieving improved action coverage and reduced collisions. AI-generated summary Humans ca...
🔹 Publication Date: Published on Dec 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.11393
• PDF: https://arxiv.org/pdf/2512.11393
• Project Page: https://zhifanzhu.github.io/ego-nbody/
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
A model learns to parallelize tasks from a single egocentric video by addressing spatial and object conflicts, achieving improved action coverage and reduced collisions. AI-generated summary Humans ca...
🔹 Publication Date: Published on Dec 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.11393
• PDF: https://arxiv.org/pdf/2512.11393
• Project Page: https://zhifanzhu.github.io/ego-nbody/
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
This media is not supported in your browser
VIEW IN TELEGRAM
✨PersonaLive! Expressive Portrait Image Animation for Live Streaming
📝 Summary:
PersonaLive is a diffusion framework for real-time portrait animation, overcoming latency issues in live streaming. It uses multi-stage training, implicit signals for motion control, and appearance distillation for efficiency. This achieves state-of-the-art performance with up to 7-22x speedup ov...
🔹 Publication Date: Published on Dec 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.11253
• PDF: https://arxiv.org/pdf/2512.11253
• Github: https://github.com/GVCLab/PersonaLive
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#PortraitAnimation #LiveStreaming #DiffusionModels #RealtimeAI #ComputerVision
📝 Summary:
PersonaLive is a diffusion framework for real-time portrait animation, overcoming latency issues in live streaming. It uses multi-stage training, implicit signals for motion control, and appearance distillation for efficiency. This achieves state-of-the-art performance with up to 7-22x speedup ov...
🔹 Publication Date: Published on Dec 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.11253
• PDF: https://arxiv.org/pdf/2512.11253
• Github: https://github.com/GVCLab/PersonaLive
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#PortraitAnimation #LiveStreaming #DiffusionModels #RealtimeAI #ComputerVision
❤1
This media is not supported in your browser
VIEW IN TELEGRAM
✨Structure From Tracking: Distilling Structure-Preserving Motion for Video Generation
📝 Summary:
SAM2VideoX improves realistic video motion by distilling structure-preserving priors from a tracking model into a bidirectional diffusion model. It uses novel feature fusion and local alignment, achieving significant performance gains over prior methods.
🔹 Publication Date: Published on Dec 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.11792
• PDF: https://arxiv.org/pdf/2512.11792
• Project Page: https://sam2videox.github.io/
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#VideoGeneration #DiffusionModels #ComputerVision #DeepLearning #MotionTracking
📝 Summary:
SAM2VideoX improves realistic video motion by distilling structure-preserving priors from a tracking model into a bidirectional diffusion model. It uses novel feature fusion and local alignment, achieving significant performance gains over prior methods.
🔹 Publication Date: Published on Dec 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.11792
• PDF: https://arxiv.org/pdf/2512.11792
• Project Page: https://sam2videox.github.io/
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#VideoGeneration #DiffusionModels #ComputerVision #DeepLearning #MotionTracking
This media is not supported in your browser
VIEW IN TELEGRAM
✨Exploring MLLM-Diffusion Information Transfer with MetaCanvas
📝 Summary:
MetaCanvas uses MLLMs as latent-space planners for diffusion models to enable precise and structured image and video generation. This approach bridges the gap between multimodal understanding and generation, outperforming global-conditioning methods.
🔹 Publication Date: Published on Dec 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.11464
• PDF: https://arxiv.org/pdf/2512.11464
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#MLLM #DiffusionModels #GenerativeAI #ComputerVision #AIResearch
📝 Summary:
MetaCanvas uses MLLMs as latent-space planners for diffusion models to enable precise and structured image and video generation. This approach bridges the gap between multimodal understanding and generation, outperforming global-conditioning methods.
🔹 Publication Date: Published on Dec 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.11464
• PDF: https://arxiv.org/pdf/2512.11464
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#MLLM #DiffusionModels #GenerativeAI #ComputerVision #AIResearch
This media is not supported in your browser
VIEW IN TELEGRAM
✨EgoX: Egocentric Video Generation from a Single Exocentric Video
📝 Summary:
EgoX generates egocentric videos from single exocentric inputs. It uses video diffusion models with LoRA adaptation, unified conditioning, and geometry-guided self-attention for coherent and realistic results.
🔹 Publication Date: Published on Dec 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.08269
• PDF: https://arxiv.org/pdf/2512.08269
• Project Page: https://keh0t0.github.io/EgoX/
• Github: https://github.com/KEH0T0/EgoX
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#EgocentricVideo #VideoGeneration #DiffusionModels #ComputerVision #DeepLearning
📝 Summary:
EgoX generates egocentric videos from single exocentric inputs. It uses video diffusion models with LoRA adaptation, unified conditioning, and geometry-guided self-attention for coherent and realistic results.
🔹 Publication Date: Published on Dec 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.08269
• PDF: https://arxiv.org/pdf/2512.08269
• Project Page: https://keh0t0.github.io/EgoX/
• Github: https://github.com/KEH0T0/EgoX
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#EgocentricVideo #VideoGeneration #DiffusionModels #ComputerVision #DeepLearning
❤1
✨Sliding Window Attention Adaptation
📝 Summary:
Sliding Window Attention Adaptation SWAA allows pretrained LLMs to use efficient sliding window attention for long contexts without retraining. SWAA combines five adaptation methods, with specific synergistic combinations effectively recovering original long-context performance.
🔹 Publication Date: Published on Dec 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.10411
• PDF: https://arxiv.org/pdf/2512.10411
🔹 Models citing this paper:
• https://huggingface.co/yuyijiong/Qwen3-SWA-adaptation
✨ Datasets citing this paper:
• https://huggingface.co/datasets/yuyijiong/LongMemEval_24k
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#LLMs #SlidingWindowAttention #LongContextAI #NLP #AIResearch
📝 Summary:
Sliding Window Attention Adaptation SWAA allows pretrained LLMs to use efficient sliding window attention for long contexts without retraining. SWAA combines five adaptation methods, with specific synergistic combinations effectively recovering original long-context performance.
🔹 Publication Date: Published on Dec 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.10411
• PDF: https://arxiv.org/pdf/2512.10411
🔹 Models citing this paper:
• https://huggingface.co/yuyijiong/Qwen3-SWA-adaptation
✨ Datasets citing this paper:
• https://huggingface.co/datasets/yuyijiong/LongMemEval_24k
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#LLMs #SlidingWindowAttention #LongContextAI #NLP #AIResearch
❤2