Phase-aware video generation for physics-grounded dynamics and interactions

arXiv:2610.11791 · cs.CV · Submitted 2026-10-08 · Read on arXiv

cs.CV

Submitted: 2026-10-08

Updated: 2026-10-08

Terminology

• Conference on Computer Vision and Pattern Recognition — 22× in this paper
• Benchmark — 19× in this paper · explained in 2 episodes
• Ablation — 13× in this paper · explained in 1 episode
• CVF International Conference on Computer Vision — 8× in this paper
• Transformer — 8× in this paper · explained in 2 episodes
• Point Clouds — 6× in this paper · explained in 2 episodes
• Video Quality — 6× in this paper
• Diffusion Model — 5× in this paper · explained in 8 episodes
• Generative Model — 5× in this paper · explained in 2 episodes
• Phase-Aware Video Generation — 5× in this paper
• Diffusion Models — 4× in this paper · explained in 6 episodes
• Generative Models — 4× in this paper · explained in 2 episodes
• Physical Commonsense — 4× in this paper
• Trace — 4× in this paper · explained in 2 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Aggregation — 3× in this paper · explained in 1 episode
• Generative AI — 3× in this paper · explained in 2 episodes
• Two-stage training — 3× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Fidelity — 2× in this paper · explained in 2 episodes
• Gaussian Splatting — 2× in this paper · explained in 4 episodes
• Physical Constraints — 2× in this paper · explained in 7 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Semantic Adherence — 2× in this paper
• World Model — 2× in this paper · explained in 7 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Heterogeneous Graph — 1× in this paper · explained in 2 episodes
• Joint Attention — 1× in this paper · explained in 2 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• System Identification — 1× in this paper · explained in 3 episodes

Sources

• VideoPhy: Evaluating Physical Commonsense for Video Generation
• VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation
• Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
• PhysGen3D: Crafting a Miniature Interactive World from a Single Image
• PhysStream: Streaming Physics-Grounded Video Generation with Structured Scene Memory and Fine-Grained Motion Control
• Physics-Grounded Motion Forecasting via Equation Discovery for Trajectory-Guided Image-to-Video Generation
• NEWTON: Agentic Planning for Physically Grounded Video Generation
• 3DTrajMaster: Mastering 3D Trajectory for Multi-Entity Motion in Video Generation
• Diffusion as Shader: 3D-aware Video Diffusion for Versatile Video Generation Control
• PhysPlan: Grounded Physical State Reasoning and Graph-Guided Optimization for Physically Plausible Video Generation
• Physics-Grounded Fluid Video Generation with a Simulation Dataset and Dual-Stream Optical-Flow Supervision
• PhysMotion: Physics-Grounded Dynamics From a Single Image
• Neural Latent Arbitrary Lagrangian-Eulerian Grids for Fluid-Solid Interaction
• Wan: Open and Advanced Large-Scale Video Generative Models
• Learning Lagrangian Fluid Mechanics with E($3$)-Equivariant Graph Neural Networks
• SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion
• ATI: Any Trajectory Instruction for Controllable Video Generation
• Streaming Video Generation with Streaming Force Control
• ObjCtrl-2.5D: Training-free Object Control with Camera Poses
• HunyuanVideo 1.5 Technical Report

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