{"total":178,"rows":[{"id":"2509.20328","title":"Video models are zero-shot learners and reasoners","created":"2025-09-24","cited_by_count":220,"area":"lr"},{"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":"2507.16869","title":"Controllable Video Generation: A Survey","created":"2025-07-22","cited_by_count":98,"area":null},{"id":"2503.18945","title":"Aether: Geometric-Aware Unified World Modeling","created":"2025-03-24","cited_by_count":97,"area":"wm"},{"id":"2601.03782","title":"PointWorld: Scaling 3D World Models for In-The-Wild Robotic Manipulation","created":"2026-01-07","cited_by_count":82,"area":"wm"},{"id":"2504.14899","title":"Uni3C: Unifying Precisely 3D-Enhanced Camera and Human Motion Controls for Video Generation","created":"2025-04-21","cited_by_count":77,"area":null},{"id":"2511.01266","title":"MotionStream: Real-Time Video Generation with Interactive Motion Controls","created":"2025-11-03","cited_by_count":76,"area":null},{"id":"2503.16421","title":"MagicMotion: Controllable Video Generation with Dense-to-Sparse Trajectory Guidance","created":"2025-03-20","cited_by_count":61,"area":null},{"id":"2505.19386","title":"Force Prompting: Video Generation Models Can Learn and Generalize Physics-based Control Signals","created":"2025-05-26","cited_by_count":53,"area":"wm"},{"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":"2503.19907","title":"FullDiT: Multi-Task Video Generative Foundation Model with Full Attention","created":"2025-03-25","cited_by_count":47,"area":null},{"id":"2505.18151","title":"WonderPlay: Dynamic 3D Scene Generation from a Single Image and Actions","created":"2025-05-23","cited_by_count":45,"area":null},{"id":"2512.08765","title":"Wan-Move: Motion-controllable Video Generation via Latent Trajectory Guidance","created":"2025-12-09","cited_by_count":45,"area":null},{"id":"2505.22944","title":"ATI: Any Trajectory Instruction for Controllable Video Generation","created":"2025-05-28","cited_by_count":43,"area":null},{"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":"2512.03041","title":"MultiShotMaster: A Controllable Multi-Shot Video Generation Framework","created":"2025-12-02","cited_by_count":36,"area":null},{"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":"2601.05138","title":"VerseCrafter: Dynamic Realistic Video World Model with 4D Geometric Control","created":"2026-01-08","cited_by_count":28,"area":"wm"},{"id":"2502.07531","title":"VidCRAFT3: Camera, Object, and Lighting Control for Image-to-Video Generation","created":"2025-02-11","cited_by_count":25,"area":null},{"id":"2501.10928","title":"Generative Physical AI in Vision: A Survey","created":"2025-01-19","cited_by_count":24,"area":null},{"id":"2501.05020","title":"Perception-as-Control: Fine-grained Controllable Image Animation with 3D-aware Motion Representation","created":"2025-01-09","cited_by_count":23,"area":null},{"id":"2512.02015","title":"Generative Video Motion Editing with 3D Point Tracks","created":"2025-12-01","cited_by_count":23,"area":null},{"id":"2603.05449","title":"RealWonder: Real-Time Physical Action-Conditioned Video Generation","created":"2026-03-05","cited_by_count":22,"area":null},{"id":"2505.10075","title":"FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation","created":"2025-05-15","cited_by_count":17,"area":"wm"},{"id":"2510.19022","title":"MoAlign: Motion-Centric Representation Alignment for Video Diffusion Models","created":"2025-10-21","cited_by_count":16,"area":"diffusion"},{"id":"2503.20822","title":"Synthetic Video Enhances Physical Fidelity in Video Synthesis","created":"2025-03-26","cited_by_count":15,"area":null},{"id":"2508.13104","title":"Precise Action-to-Video Generation Through Visual Action Prompts","created":"2025-08-18","cited_by_count":15,"area":null},{"id":"2511.08585","title":"Simulating the Visual World with Artificial Intelligence: A Roadmap","created":"2025-11-11","cited_by_count":15,"area":"wm"},{"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":"2510.20888","title":"Video-As-Prompt: Unified Semantic Control for Video Generation","created":"2025-10-23","cited_by_count":14,"area":null},{"id":"2511.20640","title":"MotionV2V: Editing Motion in a Video","created":"2025-11-25","cited_by_count":14,"area":null},{"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":"2603.27449","title":"LOME: Learning Human-Object Manipulation with Action-Conditioned Egocentric World Model","created":"2026-03-28","cited_by_count":13,"area":"wm"},{"id":"2510.25772","title":"VFXMaster: Unlocking Dynamic Visual Effect Generation via In-Context Learning","created":"2025-10-29","cited_by_count":12,"area":null},{"id":"2502.03207","title":"MotionAgent: Fine-grained Controllable Video Generation via Motion Field Agent","created":"2025-02-05","cited_by_count":11,"area":null},{"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":"2510.03135","title":"Mask2IV: Interaction-Centric Video Generation via Mask Trajectories","created":"2025-10-03","cited_by_count":10,"area":null},{"id":"2604.03723","title":"SymphoMotion: Joint Control of Camera Motion and Object Dynamics for Coherent Video Generation","created":"2026-04-04","cited_by_count":10,"area":null},{"id":"2508.01112","title":"MASIV: Toward Material-Agnostic System Identification from Videos","created":"2025-08-01","cited_by_count":9,"area":null},{"id":"2509.15496","title":"Lynx: Towards High-Fidelity Personalized Video Generation","created":"2025-09-19","cited_by_count":9,"area":null},{"id":"2510.08131","title":"Real-Time Motion-Controllable Autoregressive Video Diffusion","created":"2025-10-09","cited_by_count":9,"area":"diffusion"},{"id":"2601.05848","title":"Goal Force: Teaching Video Models To Accomplish Physics-Conditioned Goals","created":"2026-01-09","cited_by_count":9,"area":"wm"},{"id":"2601.22301","title":"Coarse-to-Real: Generative Rendering for Populated Dynamic Scenes","created":"2026-01-29","cited_by_count":9,"area":null},{"id":"2602.04876","title":"PerpetualWonder: Long-Horizon Action-Conditioned 4D Scene Generation","created":"2026-02-04","cited_by_count":9,"area":null},{"id":"2607.19343","title":"Masked Visual Actions for Unified World Modeling","created":"2026-07-21","cited_by_count":9,"area":"wm"},{"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":"2512.00762","title":"Seeing the Wind from a Falling Leaf","created":"2025-11-30","cited_by_count":7,"area":null},{"id":"2512.16924","title":"The World is Your Canvas: Painting Promptable Events with Reference Images, Trajectories, and Text","created":"2025-12-18","cited_by_count":7,"area":null},{"id":"2601.10781","title":"Future Optical Flow Prediction Improves Robot Control & Video Generation","created":"2026-01-15","cited_by_count":7,"area":null},{"id":"2510.08527","title":"FlexTraj: Image-to-Video Generation with Flexible Point Trajectory Control","created":"2025-10-09","cited_by_count":6,"area":null},{"id":"2603.06022","title":"MOSIV: Multi-Object System Identification from Videos","created":"2026-03-06","cited_by_count":6,"area":null},{"id":"2504.03875","title":"3D Scene Understanding Through Local Random Access Sequence Modeling","created":"2025-04-04","cited_by_count":5,"area":null},{"id":"2510.02226","title":"TempoControl: Temporal Attention Guidance for Text-to-Video Models","created":"2025-10-02","cited_by_count":5,"area":null},{"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":"2511.22815","title":"Captain Safari: A World Engine with Pose-Aligned 3D Memory","created":"2025-11-28","cited_by_count":5,"area":null},{"id":"2603.08403","title":"SPIRAL: Self-Evolving Action-Conditioned Video Generation via Reflective Planning Agents","created":"2026-03-09","cited_by_count":5,"area":null},{"id":"2603.12146","title":"FlashMotion: Few-Step Controllable Video Generation with Trajectory Guidance","created":"2026-03-12","cited_by_count":5,"area":null},{"id":"2604.02330","title":"ActionParty: Multi-Subject Action Binding in Generative Video Games","created":"2026-04-02","cited_by_count":5,"area":"wm"},{"id":"2605.12587","title":"TrackCraft3R: Repurposing Video Diffusion Transformers for Dense 3D Tracking","created":"2026-05-12","cited_by_count":5,"area":"diffusion"},{"id":"2607.02517","title":"WorldDirector: Building Controllable World Simulators with Persistent Dynamic Memory","created":"2026-07-02","cited_by_count":5,"area":"wm"},{"id":"2502.03072","title":"RoboGrasp: A Universal Grasping Policy for Robust Robotic Control","created":"2025-02-05","cited_by_count":4,"area":"wm"},{"id":"2503.19953","title":"Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals","created":"2025-03-25","cited_by_count":4,"area":null},{"id":"2509.15536","title":"SAMPO:Scale-wise Autoregression with Motion PrOmpt for generative world models","created":"2025-09-19","cited_by_count":4,"area":"wm"},{"id":"2510.03909","title":"Generating Human Motion Videos using a Cascaded Text-to-Video Framework","created":"2025-10-04","cited_by_count":4,"area":null},{"id":"2510.07310","title":"MATRIX: Mask Track Alignment for Interaction-aware Video Generation","created":"2025-10-08","cited_by_count":4,"area":null},{"id":"2511.21681","title":"Seeing without Pixels: Perception from Camera Trajectories","created":"2025-11-26","cited_by_count":4,"area":null},{"id":"2512.02006","title":"MV-TAP: Tracking Any Point in Multi-View Videos","created":"2025-12-01","cited_by_count":4,"area":null},{"id":"2512.03619","title":"LAMP: Language-Assisted Motion Planning for Controllable Video Generation","created":"2025-12-03","cited_by_count":4,"area":null},{"id":"2512.09646","title":"VHOI: Controllable Video Generation of Human-Object Interactions from Sparse Trajectories via Motion Densification","created":"2025-12-10","cited_by_count":4,"area":null},{"id":"2603.11755","title":"Controllable Egocentric Video Generation via Occlusion-Aware Sparse 3D Hand Joints","created":"2026-03-12","cited_by_count":4,"area":"wm"},{"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":"2506.09612","title":"Consistent Story Generation: Unlocking the Potential of Zigzag Sampling","created":"2025-06-11","cited_by_count":3,"area":null},{"id":"2507.06233","title":"AnthroTAP: Learning Point Tracking with Real-World Motion","created":"2025-07-08","cited_by_count":3,"area":null},{"id":"2510.15104","title":"TGT: Text-Grounded Trajectories for Locally Controlled Video Generation","created":"2025-10-16","cited_by_count":3,"area":null},{"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":"2602.05049","title":"VISTA: Enhancing Visual Conditioning via Track-Following Preference Optimization in Vision-Language-Action Models","created":"2026-02-04","cited_by_count":3,"area":"vla"},{"id":"2603.01000","title":"Let Your Image Move with Your Motion! -- Implicit Multi-Object Multi-Motion Transfer","created":"2026-03-01","cited_by_count":3,"area":null},{"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":"2607.06555","title":"ProxyPose: 6-DoF Pose Tracking via Video-to-Video Translation","created":"2026-07-07","cited_by_count":3,"area":null},{"id":"2607.22535","title":"Robot-Factored World Models via Robot Rendering","created":"2026-07-24","cited_by_count":3,"area":"wm"},{"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":"2601.22013","title":"Vidmento: Creating Video Stories Through Context-Aware Expansion With Generative Video","created":"2026-01-29","cited_by_count":2,"area":null},{"id":"2603.19048","title":"Measuring 3D Spatial Geometric Consistency in Dynamic Video Generation","created":"2026-03-19","cited_by_count":2,"area":null},{"id":"2604.07348","title":"MoRight: Motion Control Done Right","created":"2026-04-08","cited_by_count":2,"area":null},{"id":"2604.07966","title":"Lighting-grounded Video Generation with Renderer-based Agent Reasoning","created":"2026-04-09","cited_by_count":2,"area":"diffusion"},{"id":"2604.21776","title":"Reshoot-Anything: A Self-Supervised Model for In-the-Wild Video Reshooting","created":"2026-04-23","cited_by_count":2,"area":null},{"id":"2605.22051","title":"EasyVFX: Frequency-Driven Decoupling for Resource-Efficient VFX Generation","created":"2026-05-21","cited_by_count":2,"area":"moe"},{"id":"2605.24321","title":"Unified 3D Scene Understanding Through Physical World Modeling","created":"2026-05-23","cited_by_count":2,"area":"wm"}],"next_cursor":"100"}