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✨Light-X: Generative 4D Video Rendering with Camera and Illumination Control
📝 Summary:
Light-X is a video generation framework for controllable rendering from monocular videos with joint viewpoint and illumination control. It disentangles geometry and lighting using synthetic data for robust training, outperforming prior methods in both aspects.
🔹 Publication Date: Published on Dec 4
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.05115
• PDF: https://arxiv.org/pdf/2512.05115
• Project Page: https://lightx-ai.github.io/
• Github: https://github.com/TQTQliu/Light-X
==================================
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✓ https://news.1rj.ru/str/DataScienceT
#VideoGeneration #ComputerVision #AI #NeuralRendering #GenerativeAI
📝 Summary:
Light-X is a video generation framework for controllable rendering from monocular videos with joint viewpoint and illumination control. It disentangles geometry and lighting using synthetic data for robust training, outperforming prior methods in both aspects.
🔹 Publication Date: Published on Dec 4
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.05115
• PDF: https://arxiv.org/pdf/2512.05115
• Project Page: https://lightx-ai.github.io/
• Github: https://github.com/TQTQliu/Light-X
==================================
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✓ https://news.1rj.ru/str/DataScienceT
#VideoGeneration #ComputerVision #AI #NeuralRendering #GenerativeAI
❤1
✨Step1X-Edit: A Practical Framework for General Image Editing
📝 Summary:
Step1X-Edit is a new image editing model combining multimodal LLM with a diffusion decoder. It significantly outperforms open-source models and approaches the quality of proprietary models like GPT-4o. This bridges the gap in general image editing capabilities.
🔹 Publication Date: Published on Apr 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2504.17761
• PDF: https://arxiv.org/pdf/2504.17761
• Github: https://github.com/stepfun-ai/Step1X-Edit
🔹 Models citing this paper:
• https://huggingface.co/stepfun-ai/Step1X-Edit
• https://huggingface.co/stepfun-ai/Step1X-Edit-v1p2
• https://huggingface.co/stepfun-ai/Step1X-Edit-v1p2-preview
✨ Datasets citing this paper:
• https://huggingface.co/datasets/stepfun-ai/GEdit-Bench
✨ Spaces citing this paper:
• https://huggingface.co/spaces/johnnyclem/stepfun-ai-Step1X-Edit
• https://huggingface.co/spaces/Osuii/stepfun-ai-Step1X-Edit
• https://huggingface.co/spaces/Paus/stepfun-ai-Step1X-Edit
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#ImageEditing #AI #LLM #DiffusionModels #ComputerVision
📝 Summary:
Step1X-Edit is a new image editing model combining multimodal LLM with a diffusion decoder. It significantly outperforms open-source models and approaches the quality of proprietary models like GPT-4o. This bridges the gap in general image editing capabilities.
🔹 Publication Date: Published on Apr 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2504.17761
• PDF: https://arxiv.org/pdf/2504.17761
• Github: https://github.com/stepfun-ai/Step1X-Edit
🔹 Models citing this paper:
• https://huggingface.co/stepfun-ai/Step1X-Edit
• https://huggingface.co/stepfun-ai/Step1X-Edit-v1p2
• https://huggingface.co/stepfun-ai/Step1X-Edit-v1p2-preview
✨ Datasets citing this paper:
• https://huggingface.co/datasets/stepfun-ai/GEdit-Bench
✨ Spaces citing this paper:
• https://huggingface.co/spaces/johnnyclem/stepfun-ai-Step1X-Edit
• https://huggingface.co/spaces/Osuii/stepfun-ai-Step1X-Edit
• https://huggingface.co/spaces/Paus/stepfun-ai-Step1X-Edit
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#ImageEditing #AI #LLM #DiffusionModels #ComputerVision
arXiv.org
Step1X-Edit: A Practical Framework for General Image Editing
In recent years, image editing models have witnessed remarkable and rapid development. The recent unveiling of cutting-edge multimodal models such as GPT-4o and Gemini2 Flash has introduced highly...
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✨From Pixels to Words -- Towards Native Vision-Language Primitives at Scale
📝 Summary:
NEO is a novel family of native Vision-Language Models built from first principles. It unifies vision and language, aligning pixels and words in a shared semantic space. NEO achieves competitive performance with limited data while efficiently developing visual perception from scratch.
🔹 Publication Date: Published on Oct 16
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14979
• PDF: https://arxiv.org/pdf/2510.14979
• Github: https://github.com/EvolvingLMMs-Lab/NEO
🔹 Models citing this paper:
• https://huggingface.co/Paranioar/NEO1_0-2B-SFT
• https://huggingface.co/Paranioar/NEO1_0-9B-SFT
• https://huggingface.co/Paranioar/NEO1_0-2B-PT
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#VisionLanguageModels #MultimodalAI #DeepLearning #ComputerVision #AIREsearch
📝 Summary:
NEO is a novel family of native Vision-Language Models built from first principles. It unifies vision and language, aligning pixels and words in a shared semantic space. NEO achieves competitive performance with limited data while efficiently developing visual perception from scratch.
🔹 Publication Date: Published on Oct 16
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14979
• PDF: https://arxiv.org/pdf/2510.14979
• Github: https://github.com/EvolvingLMMs-Lab/NEO
🔹 Models citing this paper:
• https://huggingface.co/Paranioar/NEO1_0-2B-SFT
• https://huggingface.co/Paranioar/NEO1_0-9B-SFT
• https://huggingface.co/Paranioar/NEO1_0-2B-PT
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#VisionLanguageModels #MultimodalAI #DeepLearning #ComputerVision #AIREsearch
❤1
Forwarded from Research Papers
🔥 Exclusive Christmas Offer — Limited Q1 Papers Available 🔥
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🤖🧠 Supervised Reinforcement Learning: A New Era of Step-Wise Reasoning in AI
🗓️ 23 Nov 2025
📚 AI News & Trends
In the evolving landscape of artificial intelligence, large language models (LLMs) like GPT, Claude and Qwen have demonstrated remarkable abilities from generating human-like text to solving complex problems in mathematics, coding, and logic. Yet, despite their success, these models often struggle with multi-step reasoning, especially when each step depends critically on the previous one. Traditional ...
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🗓️ 23 Nov 2025
📚 AI News & Trends
In the evolving landscape of artificial intelligence, large language models (LLMs) like GPT, Claude and Qwen have demonstrated remarkable abilities from generating human-like text to solving complex problems in mathematics, coding, and logic. Yet, despite their success, these models often struggle with multi-step reasoning, especially when each step depends critically on the previous one. Traditional ...
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✨Real-Time Object Detection Meets DINOv3
📝 Summary:
DEIMv2 extends DEIM with DINOv3 features, achieving superior real-time object detection across GPU, edge, and mobile. It uses a Spatial Tuning Adapter and pruned HGNetv2 for diverse models, setting new state of the art with impressive performance-cost trade-offs.
🔹 Publication Date: Published on Sep 25
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.20787
• PDF: https://arxiv.org/pdf/2509.20787
• Project Page: https://intellindust-ai-lab.github.io/projects/DEIMv2/
• Github: https://github.com/Intellindust-AI-Lab/DEIMv2
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#ObjectDetection #RealTimeAI #ComputerVision #MachineLearning #EdgeAI
📝 Summary:
DEIMv2 extends DEIM with DINOv3 features, achieving superior real-time object detection across GPU, edge, and mobile. It uses a Spatial Tuning Adapter and pruned HGNetv2 for diverse models, setting new state of the art with impressive performance-cost trade-offs.
🔹 Publication Date: Published on Sep 25
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.20787
• PDF: https://arxiv.org/pdf/2509.20787
• Project Page: https://intellindust-ai-lab.github.io/projects/DEIMv2/
• Github: https://github.com/Intellindust-AI-Lab/DEIMv2
==================================
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#ObjectDetection #RealTimeAI #ComputerVision #MachineLearning #EdgeAI
🤖🧠 CALM: Revolutionizing Large Language Models with Continuous Autoregressive Learning
🗓️ 23 Nov 2025
📚 AI News & Trends
Large Language Models (LLMs) such as GPT, Claude and Gemini have dramatically transformed artificial intelligence. From generating natural text to assisting in code and research, these models rely on one fundamental process: autoregressive generation predicting text one token at a time. However, this sequential nature poses a critical efficiency bottleneck. Generating text token by token ...
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🗓️ 23 Nov 2025
📚 AI News & Trends
Large Language Models (LLMs) such as GPT, Claude and Gemini have dramatically transformed artificial intelligence. From generating natural text to assisting in code and research, these models rely on one fundamental process: autoregressive generation predicting text one token at a time. However, this sequential nature poses a critical efficiency bottleneck. Generating text token by token ...
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🤖🧠 Agent-o-rama: The End-to-End Platform Transforming LLM Agent Development
🗓️ 23 Nov 2025
📚 AI News & Trends
As large language models (LLMs) become more capable, developers are increasingly using them to build intelligent AI agents that can perform reasoning, automation and decision-making tasks. However, building and managing these agents at scale is far from simple. Challenges such as monitoring model behavior, debugging reasoning paths, testing reliability and tracking performance metrics can make ...
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🗓️ 23 Nov 2025
📚 AI News & Trends
As large language models (LLMs) become more capable, developers are increasingly using them to build intelligent AI agents that can perform reasoning, automation and decision-making tasks. However, building and managing these agents at scale is far from simple. Challenges such as monitoring model behavior, debugging reasoning paths, testing reliability and tracking performance metrics can make ...
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Forwarded from Machine Learning with Python
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🤖🧠 DeepEyesV2: The Next Leap Toward Agentic Multimodal Intelligence
🗓️ 23 Nov 2025
📚 AI News & Trends
The evolution of artificial intelligence has reached a stage where models are no longer limited to understanding text or images independently. The emergence of multimodal AI systems capable of processing and reasoning across multiple types of data has transformed how machines interpret the world. Yet, most existing multimodal models remain passive observers, unable to act ...
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🗓️ 23 Nov 2025
📚 AI News & Trends
The evolution of artificial intelligence has reached a stage where models are no longer limited to understanding text or images independently. The emergence of multimodal AI systems capable of processing and reasoning across multiple types of data has transformed how machines interpret the world. Yet, most existing multimodal models remain passive observers, unable to act ...
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🤖🧠 Reducing Hallucinations in Vision-Language Models: A Step Forward with VisAlign
🗓️ 24 Nov 2025
📚 AI News & Trends
As artificial intelligence continues to evolve, Large Vision-Language Models (LVLMs) have revolutionized how machines understand and describe the world. These models combine visual perception with natural language understanding to perform tasks such as image captioning, visual question answering and multimodal reasoning. Despite their success, a major problem persists – hallucination. This issue occurs when a ...
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🗓️ 24 Nov 2025
📚 AI News & Trends
As artificial intelligence continues to evolve, Large Vision-Language Models (LVLMs) have revolutionized how machines understand and describe the world. These models combine visual perception with natural language understanding to perform tasks such as image captioning, visual question answering and multimodal reasoning. Despite their success, a major problem persists – hallucination. This issue occurs when a ...
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🤖🧠 LEANN: The Bright Future of Lightweight, Private, and Scalable Vector Databases
🗓️ 24 Nov 2025
📚 AI News & Trends
In the rapidly expanding world of artificial intelligence, data storage and retrieval efficiency have become major bottlenecks for scalable AI systems. The growth of Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) has further intensified the demand for fast, private and space-efficient vector databases. Traditional systems like FAISS or Milvus while powerful, are resource-heavy and ...
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🗓️ 24 Nov 2025
📚 AI News & Trends
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🤖🧠 Omnilingual ASR: Meta’s Breakthrough in Multilingual Speech Recognition for 1600+ Languages
🗓️ 24 Nov 2025
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In an increasingly connected world, speech technology plays a vital role in bridging communication gaps across languages and cultures. Yet, despite rapid progress in Automatic Speech Recognition (ASR), most commercial systems still cater to only a few dozen major languages. Billions of people who speak lesser-known or low-resource languages remain excluded from the benefits of ...
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🗓️ 24 Nov 2025
📚 AI News & Trends
In an increasingly connected world, speech technology plays a vital role in bridging communication gaps across languages and cultures. Yet, despite rapid progress in Automatic Speech Recognition (ASR), most commercial systems still cater to only a few dozen major languages. Billions of people who speak lesser-known or low-resource languages remain excluded from the benefits of ...
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🤖🧠 Whisper by OpenAI: The Revolution in Multilingual Speech Recognition
🗓️ 25 Nov 2025
📚 AI News & Trends
Speech recognition has evolved rapidly over the past decade, transforming the way we interact with technology. From voice assistants to trannoscription services and real-time translation tools, the ability of machines to understand human speech has redefined accessibility, communication and automation. However, one of the major challenges that persisted for years was achieving robust, multilingual and ...
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🗓️ 25 Nov 2025
📚 AI News & Trends
Speech recognition has evolved rapidly over the past decade, transforming the way we interact with technology. From voice assistants to trannoscription services and real-time translation tools, the ability of machines to understand human speech has redefined accessibility, communication and automation. However, one of the major challenges that persisted for years was achieving robust, multilingual and ...
#Whisper #MultilingualSpeechRecognition #OpenAI #SpeechRecognition #AIAccessibility #VoiceTechnology
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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!
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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
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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.
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Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making.
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Master Python with step-by-step courses – from basics to advanced projects and practical applications.
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Professional Academic Writing & Simulation Services
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✨A Survey of Large Language Models in Medicine: Principles, Applications, and Challenges
📝 Summary:
This survey comprehensively explores large language models LLMs in medicine. It covers their principles, applications, challenges, and offers guidance for their effective construction and use in clinical practice.
🔹 Publication Date: Published on Nov 9, 2023
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2311.05112
• PDF: https://arxiv.org/pdf/2311.05112
• Github: https://github.com/ai-in-health/medllmspracticalguide
✨ Datasets citing this paper:
• https://huggingface.co/datasets/BAAI/SurveyScope
==================================
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#LLM #AIinMedicine #HealthcareAI #MedicalAI #DigitalHealth
📝 Summary:
This survey comprehensively explores large language models LLMs in medicine. It covers their principles, applications, challenges, and offers guidance for their effective construction and use in clinical practice.
🔹 Publication Date: Published on Nov 9, 2023
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2311.05112
• PDF: https://arxiv.org/pdf/2311.05112
• Github: https://github.com/ai-in-health/medllmspracticalguide
✨ Datasets citing this paper:
• https://huggingface.co/datasets/BAAI/SurveyScope
==================================
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✓ https://news.1rj.ru/str/DataScienceT
#LLM #AIinMedicine #HealthcareAI #MedicalAI #DigitalHealth
❤1
✨EditThinker: Unlocking Iterative Reasoning for Any Image Editor
📝 Summary:
EditThinker proposes a deliberative framework for image editing, simulating human iterative critique and refinement of instructions. It uses an MLLM as a reasoning engine to enhance instruction-following capability. This significantly improves the performance of any image editor.
🔹 Publication Date: Published on Dec 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.05965
• PDF: https://arxiv.org/pdf/2512.05965
• Project Page: https://appletea233.github.io/think-while-edit/
==================================
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#ImageEditing #MLLM #AI #Reasoning #ComputerVision
📝 Summary:
EditThinker proposes a deliberative framework for image editing, simulating human iterative critique and refinement of instructions. It uses an MLLM as a reasoning engine to enhance instruction-following capability. This significantly improves the performance of any image editor.
🔹 Publication Date: Published on Dec 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.05965
• PDF: https://arxiv.org/pdf/2512.05965
• Project Page: https://appletea233.github.io/think-while-edit/
==================================
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#ImageEditing #MLLM #AI #Reasoning #ComputerVision
✨ReVSeg: Incentivizing the Reasoning Chain for Video Segmentation with Reinforcement Learning
📝 Summary:
ReVSeg enhances video object segmentation. It uses sequential reasoning within pretrained vision language models, optimized by reinforcement learning. This achieves state-of-the-art results and provides interpretable reasoning.
🔹 Publication Date: Published on Dec 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.02835
• PDF: https://arxiv.org/pdf/2512.02835
• Project Page: https://clementine24.github.io/ReVSeg/
• Github: https://github.com/Clementine24/ReVSeg
==================================
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#VideoSegmentation #ReinforcementLearning #VisionLanguageModels #ComputerVision #DeepLearning
📝 Summary:
ReVSeg enhances video object segmentation. It uses sequential reasoning within pretrained vision language models, optimized by reinforcement learning. This achieves state-of-the-art results and provides interpretable reasoning.
🔹 Publication Date: Published on Dec 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.02835
• PDF: https://arxiv.org/pdf/2512.02835
• Project Page: https://clementine24.github.io/ReVSeg/
• Github: https://github.com/Clementine24/ReVSeg
==================================
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#VideoSegmentation #ReinforcementLearning #VisionLanguageModels #ComputerVision #DeepLearning
✨ProPhy: Progressive Physical Alignment for Dynamic World Simulation
📝 Summary:
ProPhy is a two-stage framework that enhances video generation by explicitly incorporating physics-aware conditioning and anisotropic generation. It uses a Mixture-of-Physics-Experts mechanism to extract fine-grained physical priors, improving physical consistency and realism in dynamic world sim...
🔹 Publication Date: Published on Dec 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.05564
• PDF: https://arxiv.org/pdf/2512.05564
==================================
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#VideoGeneration #PhysicsAI #DynamicSimulation #DeepLearning #ComputerVision
📝 Summary:
ProPhy is a two-stage framework that enhances video generation by explicitly incorporating physics-aware conditioning and anisotropic generation. It uses a Mixture-of-Physics-Experts mechanism to extract fine-grained physical priors, improving physical consistency and realism in dynamic world sim...
🔹 Publication Date: Published on Dec 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.05564
• PDF: https://arxiv.org/pdf/2512.05564
==================================
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#VideoGeneration #PhysicsAI #DynamicSimulation #DeepLearning #ComputerVision
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✨World Models That Know When They Don't Know: Controllable Video Generation with Calibrated Uncertainty
📝 Summary:
C3 is an uncertainty quantification method for training controllable video models that provides dense confidence estimation and out-of-distribution detection, addressing hallucination issues. AI-gener...
🔹 Publication Date: Published on Dec 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.05927
• PDF: https://arxiv.org/pdf/2512.05927
• Project Page: https://c-cubed-uq.github.io/
==================================
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#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
C3 is an uncertainty quantification method for training controllable video models that provides dense confidence estimation and out-of-distribution detection, addressing hallucination issues. AI-gener...
🔹 Publication Date: Published on Dec 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.05927
• PDF: https://arxiv.org/pdf/2512.05927
• Project Page: https://c-cubed-uq.github.io/
==================================
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#AI #DataScience #MachineLearning #HuggingFace #Research