✨Few-Step Distillation for Text-to-Image Generation: A Practical Guide
📝 Summary:
A systematic study adapts diffusion distillation techniques to text-to-image generation, providing guidelines for successful implementation and deployment. AI-generated summary Diffusion distillation ...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13006
• PDF: https://arxiv.org/pdf/2512.13006
• Github: https://github.com/alibaba-damo-academy/T2I-Distill.git
==================================
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📝 Summary:
A systematic study adapts diffusion distillation techniques to text-to-image generation, providing guidelines for successful implementation and deployment. AI-generated summary Diffusion distillation ...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13006
• PDF: https://arxiv.org/pdf/2512.13006
• Github: https://github.com/alibaba-damo-academy/T2I-Distill.git
==================================
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✨CAPTAIN: Semantic Feature Injection for Memorization Mitigation in Text-to-Image Diffusion Models
📝 Summary:
CAPTAIN, a training-free framework, mitigates memorization in diffusion models by modifying latent features during denoising, ensuring prompt fidelity and visual quality. AI-generated summary Diffusio...
🔹 Publication Date: Published on Dec 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.10655
• PDF: https://arxiv.org/pdf/2512.10655
==================================
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📝 Summary:
CAPTAIN, a training-free framework, mitigates memorization in diffusion models by modifying latent features during denoising, ensuring prompt fidelity and visual quality. AI-generated summary Diffusio...
🔹 Publication Date: Published on Dec 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.10655
• PDF: https://arxiv.org/pdf/2512.10655
==================================
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✨State over Tokens: Characterizing the Role of Reasoning Tokens
📝 Summary:
The State over Tokens (SoT) framework reinterprets reasoning tokens in large language models as computational states rather than linguistic narratives, highlighting the need for a new focus in researc...
🔹 Publication Date: Published on Dec 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.12777
• PDF: https://arxiv.org/pdf/2512.12777
==================================
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📝 Summary:
The State over Tokens (SoT) framework reinterprets reasoning tokens in large language models as computational states rather than linguistic narratives, highlighting the need for a new focus in researc...
🔹 Publication Date: Published on Dec 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.12777
• PDF: https://arxiv.org/pdf/2512.12777
==================================
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✨From Benchmarks to Business Impact: Deploying IBM Generalist Agent in Enterprise Production
📝 Summary:
IBM's CUGA, a generalist agent with a hierarchical planner-executor architecture, demonstrates state-of-the-art performance in academic benchmarks and shows potential for enterprise adoption in busine...
🔹 Publication Date: Published on Oct 27
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.23856
• PDF: https://arxiv.org/pdf/2510.23856
• Github: https://github.com/cuga-project/cuga-agent
==================================
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📝 Summary:
IBM's CUGA, a generalist agent with a hierarchical planner-executor architecture, demonstrates state-of-the-art performance in academic benchmarks and shows potential for enterprise adoption in busine...
🔹 Publication Date: Published on Oct 27
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.23856
• PDF: https://arxiv.org/pdf/2510.23856
• Github: https://github.com/cuga-project/cuga-agent
==================================
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✨E-RayZer: Self-supervised 3D Reconstruction as Spatial Visual Pre-training
📝 Summary:
E-RayZer is a self-supervised 3D Vision model that directly learns 3D-aware representations from unlabeled images, outperforming existing models in pose estimation and 3D reconstruction tasks. AI-gene...
🔹 Publication Date: Published on Dec 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.10950
• PDF: https://arxiv.org/pdf/2512.10950
• Project Page: https://qitaozhao.github.io/E-RayZer
• Github: https://github.com/QitaoZhao/E-RayZer
==================================
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📝 Summary:
E-RayZer is a self-supervised 3D Vision model that directly learns 3D-aware representations from unlabeled images, outperforming existing models in pose estimation and 3D reconstruction tasks. AI-gene...
🔹 Publication Date: Published on Dec 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.10950
• PDF: https://arxiv.org/pdf/2512.10950
• Project Page: https://qitaozhao.github.io/E-RayZer
• Github: https://github.com/QitaoZhao/E-RayZer
==================================
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✨Flowception: Temporally Expansive Flow Matching for Video Generation
📝 Summary:
Flowception, a non-autoregressive video generation framework, interleaves discrete frame insertions with continuous denoising, improving efficiency and performance over existing methods. AI-generated ...
🔹 Publication Date: Published on Dec 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.11438
• PDF: https://arxiv.org/pdf/2512.11438
• Project Page: https://flowception-meta.github.io/
==================================
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📝 Summary:
Flowception, a non-autoregressive video generation framework, interleaves discrete frame insertions with continuous denoising, improving efficiency and performance over existing methods. AI-generated ...
🔹 Publication Date: Published on Dec 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.11438
• PDF: https://arxiv.org/pdf/2512.11438
• Project Page: https://flowception-meta.github.io/
==================================
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✨Rethinking Expert Trajectory Utilization in LLM Post-training
📝 Summary:
The Sequential SFT-then-RL pipeline is identified as optimal for integrating expert trajectories, with guidelines for scaling and trajectory selection based on performance metrics. AI-generated summar...
🔹 Publication Date: Published on Dec 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.11470
• PDF: https://arxiv.org/pdf/2512.11470
• Github: https://github.com/LINs-lab/RETU
==================================
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📝 Summary:
The Sequential SFT-then-RL pipeline is identified as optimal for integrating expert trajectories, with guidelines for scaling and trajectory selection based on performance metrics. AI-generated summar...
🔹 Publication Date: Published on Dec 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.11470
• PDF: https://arxiv.org/pdf/2512.11470
• Github: https://github.com/LINs-lab/RETU
==================================
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✨FoundationMotion: Auto-Labeling and Reasoning about Spatial Movement in Videos
📝 Summary:
FoundationMotion is an automated pipeline for creating large-scale motion datasets using object detection, trajectory extraction, and LLM-generated captions, improving motion understanding in models. ...
🔹 Publication Date: Published on Dec 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.10927
• PDF: https://arxiv.org/pdf/2512.10927
• Project Page: https://yulugan.com/projects/FoundationMotion.html
• Github: https://github.com/Wolfv0/FoundationMotion/tree/main
==================================
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📝 Summary:
FoundationMotion is an automated pipeline for creating large-scale motion datasets using object detection, trajectory extraction, and LLM-generated captions, improving motion understanding in models. ...
🔹 Publication Date: Published on Dec 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.10927
• PDF: https://arxiv.org/pdf/2512.10927
• Project Page: https://yulugan.com/projects/FoundationMotion.html
• Github: https://github.com/Wolfv0/FoundationMotion/tree/main
==================================
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✨KD-OCT: Efficient Knowledge Distillation for Clinical-Grade Retinal OCT Classification
📝 Summary:
A novel knowledge distillation framework compresses a high-performance ConvNeXtV2-Large model into a lightweight EfficientNet-B2 for efficient AMD and CNV classification in real-time clinical settings...
🔹 Publication Date: Published on Dec 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.09069
• PDF: https://arxiv.org/pdf/2512.09069
• Github: https://github.com/erfan-nourbakhsh/KD-OCT
==================================
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📝 Summary:
A novel knowledge distillation framework compresses a high-performance ConvNeXtV2-Large model into a lightweight EfficientNet-B2 for efficient AMD and CNV classification in real-time clinical settings...
🔹 Publication Date: Published on Dec 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.09069
• PDF: https://arxiv.org/pdf/2512.09069
• Github: https://github.com/erfan-nourbakhsh/KD-OCT
==================================
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✨CoRe3D: Collaborative Reasoning as a Foundation for 3D Intelligence
📝 Summary:
CoRe3D is a 3D reasoning framework for understanding and generation. It aligns high-level language intent with low-level 3D content using spatially grounded reasoning. This ensures consistent and accurate 3D outputs faithful to linguistic denoscriptions.
🔹 Publication Date: Published on Dec 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.12768
• PDF: https://arxiv.org/pdf/2512.12768
==================================
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📝 Summary:
CoRe3D is a 3D reasoning framework for understanding and generation. It aligns high-level language intent with low-level 3D content using spatially grounded reasoning. This ensures consistent and accurate 3D outputs faithful to linguistic denoscriptions.
🔹 Publication Date: Published on Dec 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.12768
• PDF: https://arxiv.org/pdf/2512.12768
==================================
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✨AutoMV: An Automatic Multi-Agent System for Music Video Generation
📝 Summary:
AutoMV, a multi-agent system, generates coherent full-length music videos directly from songs. It processes music attributes for agents to noscript and generate scenes, ensuring consistency. AutoMV outperforms existing methods, nearing professional MV quality.
🔹 Publication Date: Published on Dec 13
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.12196v1
• PDF: https://arxiv.org/pdf/2512.12196
• Project Page: https://github.com/multimodal-art-projection/AutoMV
• Github: https://github.com/multimodal-art-projection/AutoMV
==================================
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📝 Summary:
AutoMV, a multi-agent system, generates coherent full-length music videos directly from songs. It processes music attributes for agents to noscript and generate scenes, ensuring consistency. AutoMV outperforms existing methods, nearing professional MV quality.
🔹 Publication Date: Published on Dec 13
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.12196v1
• PDF: https://arxiv.org/pdf/2512.12196
• Project Page: https://github.com/multimodal-art-projection/AutoMV
• Github: https://github.com/multimodal-art-projection/AutoMV
==================================
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✨I-Scene: 3D Instance Models are Implicit Generalizable Spatial Learners
📝 Summary:
A pre-trained 3D instance generator is reprogrammed to learn spatial understanding directly from geometric cues. This enables generalization to new layouts, showing it is an implicit spatial learner, pointing to foundation models for 3D scene generation.
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13683
• PDF: https://arxiv.org/pdf/2512.13683
==================================
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📝 Summary:
A pre-trained 3D instance generator is reprogrammed to learn spatial understanding directly from geometric cues. This enables generalization to new layouts, showing it is an implicit spatial learner, pointing to foundation models for 3D scene generation.
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13683
• PDF: https://arxiv.org/pdf/2512.13683
==================================
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✨VersatileFFN: Achieving Parameter Efficiency in LLMs via Adaptive Wide-and-Deep Reuse
📝 Summary:
The rapid scaling of Large Language Models (LLMs) has achieved remarkable performance, but it also leads to prohibitive memory costs. Existing parameter-efficient approaches such as pruning and quanti...
🔹 Publication Date: Published on Dec 16
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.14531
• PDF: https://arxiv.org/pdf/2512.14531
• Github: https://github.com/huawei-noah/noah-research/tree/master/VersatileFFN
==================================
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📝 Summary:
The rapid scaling of Large Language Models (LLMs) has achieved remarkable performance, but it also leads to prohibitive memory costs. Existing parameter-efficient approaches such as pruning and quanti...
🔹 Publication Date: Published on Dec 16
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.14531
• PDF: https://arxiv.org/pdf/2512.14531
• Github: https://github.com/huawei-noah/noah-research/tree/master/VersatileFFN
==================================
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✨Scone: Bridging Composition and Distinction in Subject-Driven Image Generation via Unified Understanding-Generation Modeling
📝 Summary:
Scone integrates composition and distinction in image generation by using a two-stage training scheme with semantic alignment and attention-based masking, outperforming existing models on benchmarks. ...
🔹 Publication Date: Published on Dec 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.12675
• PDF: https://arxiv.org/pdf/2512.12675
• Github: https://github.com/Ryann-Ran/Scone
🔹 Models citing this paper:
• https://huggingface.co/Ryann829/Scone
✨ Datasets citing this paper:
• https://huggingface.co/datasets/Ryann829/Scone-S2I-57K
• https://huggingface.co/datasets/Ryann829/SconeEval
==================================
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📝 Summary:
Scone integrates composition and distinction in image generation by using a two-stage training scheme with semantic alignment and attention-based masking, outperforming existing models on benchmarks. ...
🔹 Publication Date: Published on Dec 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.12675
• PDF: https://arxiv.org/pdf/2512.12675
• Github: https://github.com/Ryann-Ran/Scone
🔹 Models citing this paper:
• https://huggingface.co/Ryann829/Scone
✨ Datasets citing this paper:
• https://huggingface.co/datasets/Ryann829/Scone-S2I-57K
• https://huggingface.co/datasets/Ryann829/SconeEval
==================================
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✨WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling
📝 Summary:
WorldPlay is a streaming video diffusion model that achieves real-time, interactive world modeling with long-term geometric consistency by using a Dual Action Representation, Reconstituted Context Mem...
🔹 Publication Date: Published on Dec 16
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.14614
• PDF: https://arxiv.org/pdf/2512.14614
• Project Page: https://3d-models.hunyuan.tencent.com/world/
==================================
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📝 Summary:
WorldPlay is a streaming video diffusion model that achieves real-time, interactive world modeling with long-term geometric consistency by using a Dual Action Representation, Reconstituted Context Mem...
🔹 Publication Date: Published on Dec 16
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.14614
• PDF: https://arxiv.org/pdf/2512.14614
• Project Page: https://3d-models.hunyuan.tencent.com/world/
==================================
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✨Olmo 3
📝 Summary:
Olmo 3, a family of state-of-the-art fully-open language models at 7B and 32B parameter scales, excels in long-context reasoning, function calling, coding, instruction following, general chat, and kno...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13961
• PDF: https://arxiv.org/pdf/2512.13961
• Project Page: https://playground.allenai.org/
==================================
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📝 Summary:
Olmo 3, a family of state-of-the-art fully-open language models at 7B and 32B parameter scales, excels in long-context reasoning, function calling, coding, instruction following, general chat, and kno...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13961
• PDF: https://arxiv.org/pdf/2512.13961
• Project Page: https://playground.allenai.org/
==================================
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✨Feedforward 3D Editing via Text-Steerable Image-to-3D
📝 Summary:
Steer3D enables text-based editing of AI-generated 3D assets by adapting ControlNet for image-to-3D generation with flow-matching training and Direct Preference Optimization. AI-generated summary Rece...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13678
• PDF: https://arxiv.org/pdf/2512.13678
• Project Page: https://glab-caltech.github.io/steer3d/
• Github: https://glab-caltech.github.io/steer3d/#demo
🔹 Models citing this paper:
• https://huggingface.co/ziqima/Steer3D
✨ Datasets citing this paper:
• https://huggingface.co/datasets/ziqima/Steer3D-Data
• https://huggingface.co/datasets/ziqima/Edit3D-Bench
==================================
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📝 Summary:
Steer3D enables text-based editing of AI-generated 3D assets by adapting ControlNet for image-to-3D generation with flow-matching training and Direct Preference Optimization. AI-generated summary Rece...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13678
• PDF: https://arxiv.org/pdf/2512.13678
• Project Page: https://glab-caltech.github.io/steer3d/
• Github: https://glab-caltech.github.io/steer3d/#demo
🔹 Models citing this paper:
• https://huggingface.co/ziqima/Steer3D
✨ Datasets citing this paper:
• https://huggingface.co/datasets/ziqima/Steer3D-Data
• https://huggingface.co/datasets/ziqima/Edit3D-Bench
==================================
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✨MMGR: Multi-Modal Generative Reasoning
📝 Summary:
MMGR is a new benchmark assessing video and image model reasoning across physical, logical, and spatial domains. It uncovers major performance gaps, showing models struggle with abstract reasoning and planning, often prioritizing visual plausibility over true causal correctness.
🔹 Publication Date: Published on Dec 16
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.14691
• PDF: https://arxiv.org/pdf/2512.14691
==================================
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📝 Summary:
MMGR is a new benchmark assessing video and image model reasoning across physical, logical, and spatial domains. It uncovers major performance gaps, showing models struggle with abstract reasoning and planning, often prioritizing visual plausibility over true causal correctness.
🔹 Publication Date: Published on Dec 16
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.14691
• PDF: https://arxiv.org/pdf/2512.14691
==================================
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✨RoboTracer: Mastering Spatial Trace with Reasoning in Vision-Language Models for Robotics
📝 Summary:
RoboTracer, a 3D-aware visual language model, enhances spatial tracing by combining supervised and reinforcement fine-tuning with a universal spatial encoder and regression-supervised decoder, achievi...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13660
• PDF: https://arxiv.org/pdf/2512.13660
• Project Page: https://zhoues.github.io/RoboTracer/
• Github: https://zhoues.github.io/RoboTracer/
==================================
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📝 Summary:
RoboTracer, a 3D-aware visual language model, enhances spatial tracing by combining supervised and reinforcement fine-tuning with a universal spatial encoder and regression-supervised decoder, achievi...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13660
• PDF: https://arxiv.org/pdf/2512.13660
• Project Page: https://zhoues.github.io/RoboTracer/
• Github: https://zhoues.github.io/RoboTracer/
==================================
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