| 1 |
Parasitic Co-Denoising: Unlocking 3D Human Motion Generation in a Frozen Video Diffusion Model |
提出寄生共去噪以实现视频中的3D人类动作生成 |
flow matching motion generation human motion |
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| 2 |
FlowHMR: Physically Plausible Motion Capture from Video |
提出FlowHMR以解决单目视频中人类运动捕捉问题 |
flow matching motion generation physically plausible |
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| 3 |
SymRegFlow: Symmetry-Regularized Flow Matching for Video World Models |
提出SymRegFlow以解决多视角视频生成中的相机姿态变化问题 |
flow matching world model world models |
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| 4 |
Native Action-Prior Learning from Videos for World Action Models |
提出NAVA-WAM以解决机器人动作预测的标注依赖问题 |
flow matching world action model world action models |
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| 5 |
EVEWorld: Physical Evolution Supervision for Embodied World Models |
提出EVEWorld以解决机器人学习中的物理推理不足问题 |
world model world models JEPA |
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| 6 |
SpectralCache: Accelerating Diffusion-Based World Models via Spectral Feature Caching |
提出SpectralCache以解决扩散模型推理效率低下问题 |
world model world models |
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| 7 |
A Benchmark for Spatially Grounded Gesture Generation |
提出空间基础手势生成基准以解决手势指向不明确问题 |
flow matching human motion |
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| 8 |
Beyond Entropy: Self-Diagnostic Multi-Role Token Optimization for Video Reasoning |
提出DyCPO框架以解决视频推理中的模糊信号问题 |
reinforcement learning contrastive learning multimodal |
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| 9 |
OuroReward: Sequential Reward Scheduling for Reinforcement Learning in Text-to-3D Generation |
提出OuroReward以解决文本到3D生成中的奖励调度问题 |
reinforcement learning |
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| 10 |
VDOT++: Unified Few-Step Video Generation via Unbalanced Optimal Transport Distillation |
提出VDOT++以解决视频生成中的高成本与不稳定性问题 |
distillation |
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| 11 |
Contextual Flow Matching: Adaptive Step Selection in Flow Models for Efficient Visual Generation |
提出COFLOW以解决流模型推理效率低下问题 |
flow matching |
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| 12 |
Beyond Single Videos: Benchmarking and Active Evidence Seeking for E-Commerce Cross-Video Reasoning |
提出AdsCVR基准与AdSeek框架以解决电商跨视频推理问题 |
reinforcement learning multimodal |
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| 13 |
ViTok: Improving Dense Semantics in AM-RADIO-Style Multi-Teacher Distillation with PHI-S and Masked Image Modelling |
提出ViTok以优化AM-RADIO风格多教师蒸馏中的稠密语义 |
distillation |
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| 14 |
World Embedding Benchmark |
提出世界嵌入基准以评估视频生成中的物理信息编码 |
world model world models |
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| 15 |
Does Physics Live in the Activations? Localizing Physical Quantities in Video Diffusion Models |
通过激活定位物理量以提升视频生成模型的物理推理能力 |
world model world models |
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