{"total":50,"rows":[{"id":"2501.03847","title":"Diffusion as Shader: 3D-aware Video Diffusion for Versatile Video Generation Control","created":"2025-01-07","cited_by_count":185,"area":"diffusion"},{"id":"2501.08331","title":"Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise","created":"2025-01-14","cited_by_count":117,"area":"diffusion"},{"id":"2503.23368","title":"VLIPP: Towards Physically Plausible Video Generation with Vision and Language Informed Physical Prior","created":"2025-03-30","cited_by_count":52,"area":"diffusion"},{"id":"2509.20358","title":"PhysCtrl: Generative Physics for Controllable and Physics-Grounded Video Generation","created":"2025-09-24","cited_by_count":41,"area":"diffusion"},{"id":"2503.09151","title":"Reangle-A-Video: 4D Video Generation as Video-to-Video Translation","created":"2025-03-12","cited_by_count":35,"area":"diffusion"},{"id":"2506.01943","title":"Learning Video Generation for Robotic Manipulation with Collaborative Trajectory Control","created":"2025-06-02","cited_by_count":34,"area":"diffusion"},{"id":"2503.21765","title":"Exploring the Evolution of Physics Cognition in Video Generation: A Survey","created":"2025-03-27","cited_by_count":31,"area":"diffusion"},{"id":"2506.17220","title":"Emergent Temporal Correspondences from Video Diffusion Transformers","created":"2025-06-20","cited_by_count":31,"area":"diffusion"},{"id":"2510.19022","title":"MoAlign: Motion-Centric Representation Alignment for Video Diffusion Models","created":"2025-10-21","cited_by_count":16,"area":"diffusion"},{"id":"2503.17350","title":"Decouple and Track: Benchmarking and Improving Video Diffusion Transformers for Motion Transfer","created":"2025-03-21","cited_by_count":14,"area":"diffusion"},{"id":"2504.16081","title":"Survey of Video Diffusion Models: Foundations, Implementations, and Applications","created":"2025-04-22","cited_by_count":14,"area":"diffusion"},{"id":"2512.05076","title":"BulletTime: Decoupled Control of Time and Camera Pose for Video Generation","created":"2025-12-04","cited_by_count":14,"area":"diffusion"},{"id":"2603.06408","title":"Physical Simulator In-the-Loop Video Generation","created":"2026-03-06","cited_by_count":14,"area":"diffusion"},{"id":"2511.08633","title":"Time-to-Move: Training-Free Motion Controlled Video Generation via Dual-Clock Denoising","created":"2025-11-09","cited_by_count":13,"area":"diffusion"},{"id":"2506.07177","title":"Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion Models","created":"2025-06-08","cited_by_count":11,"area":"diffusion"},{"id":"2511.23127","title":"DualCamCtrl: Dual-Branch Diffusion Model for Geometry-Aware Camera-Controlled Video Generation","created":"2025-11-28","cited_by_count":11,"area":"diffusion"},{"id":"2503.21082","title":"Can Video Diffusion Model Reconstruct 4D Geometry?","created":"2025-03-27","cited_by_count":10,"area":"diffusion"},{"id":"2505.20255","title":"AniCrafter: Customizing Realistic Human-Centric Animation via Avatar-Background Conditioning in Video Diffusion Models","created":"2025-05-26","cited_by_count":10,"area":"diffusion"},{"id":"2510.08131","title":"Real-Time Motion-Controllable Autoregressive Video Diffusion","created":"2025-10-09","cited_by_count":9,"area":"diffusion"},{"id":"2511.21592","title":"MoGAN: Improving Motion Quality in Video Diffusion via Few-Step Motion Adversarial Post-Training","created":"2025-11-26","cited_by_count":8,"area":"diffusion"},{"id":"2510.03550","title":"Streaming Drag-Oriented Interactive Video Manipulation: Drag Anything, Anytime!","created":"2025-10-03","cited_by_count":5,"area":"diffusion"},{"id":"2510.11715","title":"Point Prompting: Counterfactual Tracking with Video Diffusion Models","created":"2025-10-13","cited_by_count":5,"area":"diffusion"},{"id":"2605.12587","title":"TrackCraft3R: Repurposing Video Diffusion Transformers for Dense 3D Tracking","created":"2026-05-12","cited_by_count":5,"area":"diffusion"},{"id":"2603.12257","title":"DreamVideo-Omni: Omni-Motion Controlled Multi-Subject Video Customization with Latent Identity Reinforcement Learning","created":"2026-03-12","cited_by_count":4,"area":"diffusion"},{"id":"2512.20606","title":"Probing and Leveraging Video Diffusion Transformer Features for Robust Point Tracking","created":"2025-12-23","cited_by_count":3,"area":"diffusion"},{"id":"2603.14965","title":"GeoNVS: Geometry Grounded Video Diffusion for Novel View Synthesis","created":"2026-03-16","cited_by_count":3,"area":"diffusion"},{"id":"2604.02817","title":"MMPhysVideo: Physically Plausible Video Generation Through Joint RGB-Perception Modeling","created":"2026-04-03","cited_by_count":3,"area":"diffusion"},{"id":"2510.02284","title":"Learning to Generate Rigid Body Interactions with Video Diffusion Models","created":"2025-10-02","cited_by_count":2,"area":"diffusion"},{"id":"2604.07966","title":"Lighting-grounded Video Generation with Renderer-based Agent Reasoning","created":"2026-04-09","cited_by_count":2,"area":"diffusion"},{"id":"2504.14535","title":"FlowLoss: Dynamic Flow-Conditioned Loss Strategy for Video Diffusion Models","created":"2025-04-20","cited_by_count":1,"area":"diffusion"},{"id":"2601.12761","title":"Moaw: Unleashing Motion Awareness for Video Diffusion Models","created":"2026-01-19","cited_by_count":1,"area":"diffusion"},{"id":"2602.07498","title":"IM-Animation: An Implicit Motion Representation for Identity-decoupled Character Animation","created":"2026-02-07","cited_by_count":1,"area":"diffusion"},{"id":"2603.14294","title":"Seeking Physics in Diffusion Noise","created":"2026-03-15","cited_by_count":1,"area":"diffusion"},{"id":"2603.15614","title":"Tri-Prompting: Video Diffusion with Unified Control over Scene, Subject, and Motion","created":"2026-03-16","cited_by_count":1,"area":"diffusion"},{"id":"2603.27520","title":"TokenDial: Continuous Attribute Control for Text-to-Video Generation in Visual Dial Space","created":"2026-03-29","cited_by_count":1,"area":"diffusion"},{"id":"2606.00299","title":"Real2SAM2Real: Generative 3D Caches as Complementary Context for Video Diffusion","created":"2026-05-29","cited_by_count":1,"area":"diffusion"},{"id":"2607.02798","title":"Track the Noise, Move the World:3D-Grounded Motion-Consistent Noise for Controllable Video Generation","created":"2026-07-02","cited_by_count":1,"area":"diffusion"},{"id":"2511.00248","title":"Object-Aware 4D Human Motion Generation","created":"2025-10-31","cited_by_count":0,"area":"diffusion"},{"id":"2601.01955","title":"MotionAdapter: Video Motion Transfer via Content-Aware Attention Customization","created":"2026-01-05","cited_by_count":0,"area":"diffusion"},{"id":"2604.01666","title":"DynaVid: Learning to Generate Highly Dynamic Videos using Synthetic Motion Data","created":"2026-04-02","cited_by_count":0,"area":"diffusion"},{"id":"2605.14136","title":"TeDiO: Temporal Diagonal Optimization for Training-Free Coherent Video Diffusion","created":"2026-05-13","cited_by_count":0,"area":"diffusion"},{"id":"2605.14988","title":"Compositional Video Generation via Inference-Time Guidance","created":"2026-05-14","cited_by_count":0,"area":"diffusion"},{"id":"2605.24509","title":"{\\Phi}-Noise: Training-Free Temporal Video Conditioning via Phase-Based Noise Manipulation","created":"2026-05-23","cited_by_count":0,"area":"diffusion"},{"id":"2607.01869","title":"QWERTY: Training-Free Motion Control via Query-Warped Video Diffusion Transformers","created":"2026-07-02","cited_by_count":0,"area":"diffusion"},{"id":"2607.03803","title":"CineMobile: On-Device Image-to-Video Diffusion for Cinematic Camera Motion Generation","created":"2026-07-04","cited_by_count":0,"area":"diffusion"},{"id":"2607.08770","title":"LongE2V: Long-Horizon Event-based Video Reconstruction, Prediction, and Frame Interpolation with Video Diffusion Models","created":"2026-07-09","cited_by_count":0,"area":"diffusion"},{"id":"2608.13037","title":"Spatially-Grounded Text-to-Video Generation via Inference-Time Gradient-Free Optimization","created":"2026-08-13","cited_by_count":0,"area":"diffusion"},{"id":"2609.04649","title":"ReaDiT Guidance: Control for Image and Video Generation using Diffusion Transformer Features","created":"2026-09-04","cited_by_count":0,"area":"diffusion"},{"id":"2609.21455","title":"CompAdapt: Adaptable Composite Motion Modeling for Physics-Consistent Text-to-Video Generation","created":"2026-09-18","cited_by_count":0,"area":"diffusion"},{"id":"2610.14693","title":"AcrossVAM2.0: Conflict-Aware Point Supervision for Parameter-Efficient Video Diffusion Adaptation","created":"2026-10-10","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}