{"total":581,"rows":[{"id":"2503.20314","title":"Wan: Open and Advanced Large-Scale Video Generative Models","created":"2025-03-26","cited_by_count":2708,"area":"wm"},{"id":"2506.08009","title":"Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion","created":"2025-06-09","cited_by_count":625,"area":"diffusion"},{"id":"2503.07598","title":"VACE: All-in-One Video Creation and Editing","created":"2025-03-10","cited_by_count":479,"area":"diffusion"},{"id":"2505.13211","title":"MAGI-1: Autoregressive Video Generation at Scale","created":"2025-05-19","cited_by_count":276,"area":"wm"},{"id":"2509.22622","title":"LongLive: Real-time Interactive Long Video Generation","created":"2025-09-26","cited_by_count":265,"area":null},{"id":"2601.03233","title":"LTX-2: Efficient Joint Audio-Visual Foundation Model","created":"2026-01-06","cited_by_count":236,"area":"diffusion"},{"id":"2511.00062","title":"World Simulation with Video Foundation Models for Physical AI","created":"2025-10-28","cited_by_count":200,"area":null},{"id":"2510.02283","title":"Self-Forcing++: Towards Minute-Scale High-Quality Video Generation","created":"2025-10-02","cited_by_count":192,"area":"diffusion"},{"id":"2508.13009","title":"Matrix-game 2.0: An open-source real-time and streaming interactive world model","created":"2025-08-18","cited_by_count":186,"area":"wm"},{"id":"2503.20523","title":"GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving","created":"2025-03-26","cited_by_count":185,"area":"wm"},{"id":"2602.02214","title":"Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation","created":"2026-02-02","cited_by_count":184,"area":"diffusion"},{"id":"2606.02800","title":"Cosmos 3: Omnimodal World Models for Physical AI","created":"2026-06-01","cited_by_count":165,"area":"wm"},{"id":"2504.00983","title":"WorldScore: A Unified Evaluation Benchmark for World Generation","created":"2025-04-01","cited_by_count":156,"area":null},{"id":"2601.20540","title":"Advancing Open-source World Models","created":"2026-01-28","cited_by_count":154,"area":"wm"},{"id":"2504.12626","title":"Frame Context Packing and Drift Prevention in Next-Frame-Prediction Video Diffusion Models","created":"2025-04-17","cited_by_count":143,"area":"diffusion"},{"id":"2508.05635","title":"Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation","created":"2025-08-07","cited_by_count":137,"area":"diffusion"},{"id":"2506.05284","title":"Video World Models with Long-term Spatial Memory","created":"2025-06-05","cited_by_count":136,"area":"wm"},{"id":"2502.20694","title":"WorldModelBench: Judging Video Generation Models As World Models","created":"2025-02-28","cited_by_count":124,"area":"wm"},{"id":"2502.02492","title":"VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models","created":"2025-02-04","cited_by_count":113,"area":null},{"id":"2503.18945","title":"Aether: Geometric-Aware Unified World Modeling","created":"2025-03-24","cited_by_count":97,"area":"wm"},{"id":"2508.21058","title":"Mixture of Contexts for Long Video Generation","created":"2025-08-28","cited_by_count":95,"area":null},{"id":"2509.24695","title":"SANA-Video: Efficient Video Generation with Block Linear Diffusion Transformer","created":"2025-09-29","cited_by_count":94,"area":"diffusion"},{"id":"2510.15301","title":"Latent Diffusion Model without Variational Autoencoder","created":"2025-10-17","cited_by_count":88,"area":"diffusion"},{"id":"2511.20649","title":"Infinity-RoPE: Action-Controllable Infinite Video Generation Emerges From Autoregressive Self-Rollout","created":"2025-11-25","cited_by_count":86,"area":"diffusion"},{"id":"2512.05081","title":"Deep Forcing: Training-Free Long Video Generation with Deep Sink and Participative Compression","created":"2025-12-04","cited_by_count":85,"area":"diffusion"},{"id":"2504.08685","title":"Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model","created":"2025-04-11","cited_by_count":82,"area":null},{"id":"2502.14831","title":"Improving the Diffusability of Autoencoders","created":"2025-02-20","cited_by_count":80,"area":"diffusion"},{"id":"2505.14357","title":"Vid2World: Crafting Video Diffusion Models to Interactive World Models","created":"2025-05-20","cited_by_count":76,"area":"wm"},{"id":"2506.19852","title":"Radial Attention: $O(n\\log n)$ Sparse Attention with Energy Decay for Long Video Generation","created":"2025-06-24","cited_by_count":69,"area":"diffusion"},{"id":"2603.04379","title":"Helios: Real Real-Time Long Video Generation Model","created":"2026-03-04","cited_by_count":65,"area":null},{"id":"2505.20171","title":"Long-Context State-Space Video World Models","created":"2025-05-26","cited_by_count":64,"area":"wm"},{"id":"2602.06028","title":"Context Forcing: Consistent Autoregressive Video Generation with Long Context","created":"2026-02-05","cited_by_count":59,"area":null},{"id":"2605.15178","title":"SANA-WM: Efficient Minute-Scale World Modeling with Hybrid Linear Diffusion Transformer","created":"2026-05-14","cited_by_count":55,"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":"2512.15702","title":"End-to-End Training for Autoregressive Video Diffusion via Self-Resampling","created":"2025-12-17","cited_by_count":52,"area":"diffusion"},{"id":"2502.04299","title":"MotionCanvas: Cinematic Shot Design with Controllable Image-to-Video Generation","created":"2025-02-06","cited_by_count":50,"area":"diffusion"},{"id":"2505.09694","title":"EWMBench: Evaluating Scene, Motion, and Semantic Quality in Embodied World Models","created":"2025-05-14","cited_by_count":50,"area":"wm"},{"id":"2601.02456","title":"InternVLA-A1: Unifying Understanding, Generation and Action for Robotic Manipulation","created":"2026-01-05","cited_by_count":50,"area":"mllm"},{"id":"2605.12090","title":"World Action Models: The Next Frontier in Embodied AI","created":"2026-05-12","cited_by_count":50,"area":"wm"},{"id":"2504.02918","title":"Evaluating Newtonian Mechanics in Video Generative Models with Real Physical Systems","created":"2025-04-03","cited_by_count":48,"area":"wm"},{"id":"2507.18634","title":"Captain Cinema: Towards Short Movie Generation","created":"2025-07-24","cited_by_count":48,"area":null},{"id":"2607.07534","title":"Infinite Worlds with Versatile Interactions","created":"2026-07-08","cited_by_count":48,"area":null},{"id":"2510.18135","title":"World-in-World: World Models in a Closed-Loop World","created":"2025-10-20","cited_by_count":47,"area":"wm"},{"id":"2512.23421","title":"DriveLaW:Unifying Planning and Video Generation in a Latent Driving World","created":"2025-12-29","cited_by_count":47,"area":"wm"},{"id":"2505.24873","title":"MiniMax-Remover: Taming Bad Noise Helps Video Object Removal","created":"2025-05-30","cited_by_count":45,"area":"diffusion"},{"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":"2512.14699","title":"MemFlow: Flowing Adaptive Memory for Consistent and Efficient Long Video Narratives","created":"2025-12-16","cited_by_count":45,"area":null},{"id":"2602.08794","title":"MOVA: Towards Scalable and Synchronized Video-Audio Generation","created":"2026-02-09","cited_by_count":43,"area":null},{"id":"2508.17356","title":"DiCache: Let Diffusion Model Determine Its Own Cache","created":"2025-08-24","cited_by_count":42,"area":"diffusion"},{"id":"2512.04519","title":"VideoSSM: Autoregressive Long Video Generation with Hybrid State-Space Memory","created":"2025-12-04","cited_by_count":42,"area":null},{"id":"2509.22799","title":"VideoScore2: Think before You Score in Generative Video Evaluation","created":"2025-09-26","cited_by_count":40,"area":null},{"id":"2512.15716","title":"Spatia: Video Generation with Updatable Spatial Memory","created":"2025-12-17","cited_by_count":40,"area":null},{"id":"2602.11075","title":"RISE: Self-Improving Robot Policy with Compositional World Model","created":"2026-02-11","cited_by_count":40,"area":"wm"},{"id":"2505.00337","title":"T2VPhysBench: A First-Principles Benchmark for Physical Consistency in Text-to-Video Generation","created":"2025-05-01","cited_by_count":39,"area":null},{"id":"2605.25874","title":"WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation","created":"2026-05-25","cited_by_count":39,"area":"wm"},{"id":"2507.13428","title":"\"PhyWorldBench\": A Comprehensive Evaluation of Physical Realism in Text-to-Video Models","created":"2025-07-17","cited_by_count":36,"area":null},{"id":"2512.07802","title":"OneStory: Coherent Multi-Shot Video Generation with Adaptive Memory","created":"2025-12-08","cited_by_count":35,"area":null},{"id":"2512.01989","title":"PAI-Bench: A Comprehensive Benchmark For Physical AI","created":"2025-12-01","cited_by_count":34,"area":"mllm"},{"id":"2505.12620","title":"BusterX: MLLM-Powered AI-Generated Video Forgery Detection and Explanation","created":"2025-05-19","cited_by_count":33,"area":null},{"id":"2601.15282","title":"Rethinking Video Generation Model for the Embodied World","created":"2026-01-21","cited_by_count":33,"area":null},{"id":"2502.05179","title":"FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation","created":"2025-02-07","cited_by_count":32,"area":null},{"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":"2501.12389","title":"Taming Teacher Forcing for Masked Autoregressive Video Generation","created":"2025-01-21","cited_by_count":30,"area":null},{"id":"2503.14151","title":"Concat-ID: Towards Universal Identity-Preserving Video Synthesis","created":"2025-03-18","cited_by_count":28,"area":null},{"id":"2506.10082","title":"LoRA-Edit: Controllable First-Frame-Guided Video Editing via Mask-Aware LoRA Fine-Tuning","created":"2025-06-11","cited_by_count":28,"area":"diffusion"},{"id":"2508.07981","title":"Omni-Effects: Unified and Spatially-Controllable Visual Effects Generation","created":"2025-08-11","cited_by_count":27,"area":null},{"id":"2603.24458","title":"OmniWeaving: Towards Unified Video Generation with Free-form Composition and Reasoning","created":"2026-03-25","cited_by_count":27,"area":null},{"id":"2606.01027","title":"$\\tau_0$-WM: A Unified Video-Action World Model for Robotic Manipulation","created":"2026-05-31","cited_by_count":27,"area":"wm"},{"id":"2510.21615","title":"Epipolar Geometry Improves Video Generation Models","created":"2025-10-24","cited_by_count":26,"area":"diffusion"},{"id":"2605.13724","title":"AnyFlow: Any-Step Video Diffusion Model with On-Policy Flow Map Distillation","created":"2026-05-13","cited_by_count":26,"area":"diffusion"},{"id":"2512.00425","title":"What about gravity in video generation? Post-Training Newton's Laws with Verifiable Rewards","created":"2025-11-29","cited_by_count":25,"area":"diffusion"},{"id":"2512.15693","title":"Skyra: AI-Generated Video Detection via Grounded Artifact Reasoning","created":"2025-12-17","cited_by_count":25,"area":"lr"},{"id":"2502.19400","title":"TheoremExplainAgent: Towards Video-based Multimodal Explanations for LLM Theorem Understanding","created":"2025-02-26","cited_by_count":24,"area":null},{"id":"2510.00438","title":"BindWeave: Subject-Consistent Video Generation via Cross-Modal Integration","created":"2025-10-01","cited_by_count":23,"area":"diffusion"},{"id":"2512.17650","title":"Region-Constraint In-Context Generation for Instructional Video Editing","created":"2025-12-19","cited_by_count":23,"area":null},{"id":"2507.08801","title":"Lumos-1: On Autoregressive Video Generation with Discrete Diffusion from a Unified Model Perspective","created":"2025-07-11","cited_by_count":22,"area":"diffusion"},{"id":"2511.16668","title":"V-ReasonBench: Toward Unified Reasoning Benchmark Suite for Video Generation Models","created":"2025-11-20","cited_by_count":22,"area":"lr"},{"id":"2506.03123","title":"Dual-Expert Consistency Model for Efficient and High-Quality Video Generation","created":"2025-06-03","cited_by_count":21,"area":"diffusion"},{"id":"2601.01528","title":"DrivingGen: A Comprehensive Benchmark for Generative Video World Models in Autonomous Driving","created":"2026-01-04","cited_by_count":21,"area":"wm"},{"id":"2604.07209","title":"INSPATIO-WORLD: A Real-Time 4D World Simulator via Spatiotemporal Autoregressive Modeling","created":"2026-04-08","cited_by_count":21,"area":"wm"},{"id":"2502.14844","title":"Dynamic Concepts Personalization from Single Videos","created":"2025-02-20","cited_by_count":20,"area":null},{"id":"2503.22796","title":"DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers","created":"2025-03-28","cited_by_count":20,"area":"diffusion"},{"id":"2506.09995","title":"PlayerOne: Egocentric World Simulator","created":"2025-06-11","cited_by_count":20,"area":null},{"id":"2510.01183","title":"EvoWorld: Evolving Panoramic World Generation with Explicit 3D Memory","created":"2025-10-01","cited_by_count":20,"area":"wm"},{"id":"2512.23541","title":"Act2Goal: From World Model To General Goal-conditioned Policy","created":"2025-12-29","cited_by_count":20,"area":"wm"},{"id":"2505.22421","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","created":"2025-05-28","cited_by_count":19,"area":"wm"},{"id":"2507.12952","title":"LoViC: Efficient Long Video Generation with Context Compression","created":"2025-07-17","cited_by_count":19,"area":"diffusion"},{"id":"2507.18107","title":"T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation","created":"2025-07-24","cited_by_count":19,"area":null},{"id":"2604.19092","title":"RoboWM-Bench: A Benchmark for Evaluating World Models in Robotic Manipulation","created":"2026-04-21","cited_by_count":19,"area":"wm"},{"id":"2510.07550","title":"TRAVL: A Recipe for Making Video-Language Models Better Judges of Physics Implausibility","created":"2025-10-08","cited_by_count":18,"area":null},{"id":"2602.01801","title":"Fast Autoregressive Video Diffusion and World Models with Temporal Cache Compression and Sparse Attention","created":"2026-02-02","cited_by_count":18,"area":"wm"},{"id":"2503.14325","title":"LeanVAE: An Ultra-Efficient Reconstruction VAE for Video Diffusion Models","created":"2025-03-18","cited_by_count":17,"area":"diffusion"},{"id":"2507.00162","title":"FreeLong++: Training-Free Long Video Generation via Multi-band SpectralFusion","created":"2025-06-30","cited_by_count":17,"area":null},{"id":"2603.23481","title":"VTAM: Video-Tactile-Action Models for Complex Physical Interaction Beyond VLAs","created":"2026-03-24","cited_by_count":17,"area":"wm"},{"id":"2606.09828","title":"Latent Spatial Memory for Video World Models","created":"2026-06-08","cited_by_count":17,"area":"wm"},{"id":"2502.05979","title":"VFX Creator: Animated Visual Effect Generation with Controllable Diffusion Transformer","created":"2025-02-09","cited_by_count":16,"area":"diffusion"},{"id":"2503.14378","title":"Impossible Videos","created":"2025-03-18","cited_by_count":16,"area":null},{"id":"2503.18033","title":"OmnimatteZero: Fast Training-free Omnimatte with Pre-trained Video Diffusion Models","created":"2025-03-23","cited_by_count":16,"area":"diffusion"},{"id":"2508.09136","title":"Turbo-VAED: Fast and Stable Transfer of Video-VAEs to Mobile Devices","created":"2025-08-12","cited_by_count":16,"area":null}],"next_cursor":"100"}