✨MASS: Motion-Aware Spatial-Temporal Grounding for Physics Reasoning and Comprehension in Vision-Language Models
📝 Summary:
VLMs struggle with physics-driven video reasoning. This paper introduces MASS, a method that injects spatial-temporal signals and motion tracking into VLMs, along with the MASS-Bench dataset. MASS significantly improves VLM performance on physics tasks, outperforming baselines and achieving state...
🔹 Publication Date: Published on Nov 23
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.18373
• PDF: https://arxiv.org/pdf/2511.18373
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#VLMs #PhysicsAI #ComputerVision #AIResearch #MachineLearning
📝 Summary:
VLMs struggle with physics-driven video reasoning. This paper introduces MASS, a method that injects spatial-temporal signals and motion tracking into VLMs, along with the MASS-Bench dataset. MASS significantly improves VLM performance on physics tasks, outperforming baselines and achieving state...
🔹 Publication Date: Published on Nov 23
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.18373
• PDF: https://arxiv.org/pdf/2511.18373
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#VLMs #PhysicsAI #ComputerVision #AIResearch #MachineLearning
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✨Seeing the Wind from a Falling Leaf
📝 Summary:
This paper presents an end-to-end differentiable inverse graphics framework that recovers invisible force representations from video observations. This innovation enables estimating physical forces, like wind from a falling leaf, leading to physics-based video generation and editing.
🔹 Publication Date: Published on Nov 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.00762
• PDF: https://arxiv.org/pdf/2512.00762
==================================
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#InverseGraphics #PhysicsAI #ComputerVision #VideoGeneration #DeepLearning
📝 Summary:
This paper presents an end-to-end differentiable inverse graphics framework that recovers invisible force representations from video observations. This innovation enables estimating physical forces, like wind from a falling leaf, leading to physics-based video generation and editing.
🔹 Publication Date: Published on Nov 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.00762
• PDF: https://arxiv.org/pdf/2512.00762
==================================
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✓ https://t.iss.one/DataScienceT
#InverseGraphics #PhysicsAI #ComputerVision #VideoGeneration #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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✓ https://t.iss.one/DataScienceT
#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
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#VideoGeneration #PhysicsAI #DynamicSimulation #DeepLearning #ComputerVision