Long-Horizon Video Generation

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16 papers in the last four weeks, up 60% on the four weeks before. 0.2% of all new papers.

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Latest papers 107

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EverAnimate: Minute-Scale Human Animation via Latent Flow Restoration
May 14, 2026Wuyang Li, Yang Gao, Mariam Hassan +4Flow Matching Long-Horizon Video Generation
Head Forcing: Long Autoregressive Video Generation via Head Heterogeneity
May 14, 2026Jiahao Tian, Yiwei Wang, Gang Yu +1Diffusion Transformer Autoregressive Diffusion
AGI Lab, Westlake University · University of California at Merced · StepFun
Pyramid Forcing: Head-Aware Pyramid KV Cache Policy for High-Quality Long Video Generation
May 13, 2026Jiayu Chen, Junbei Tang, Wenbiao Zhao +6Self-Attention Long-Horizon Video Generation
Peking University · South China University of Technology · Xinjiang University +2
CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives
May 12, 2026Yihao Meng, Zichen Liu, Hao Ouyang +11Real-Time Interactive Video Generation Long-Horizon Video Generation
1HKUST · 2Ant Group · 3SJTU
HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation
May 12, 2026Conglang Zhang, Yifan Zhan, Qingjie Wang +10World Model Learning Long-Horizon Video Generation
Wuhan University · The University of Tokyo · Horizon Robotics +3
AllocMV: Optimal Resource Allocation for Music Video Generation via Structured Persistent State
May 11, 2026Huimin Wang, Leilei Ouyang, Chang Xia +3Audio-Video Generation Long-Horizon Video Generation
College of Computer Science, Sichuan University.
EduStory: A Unified Framework for Pedagogically-Consistent Multi-Shot STEM Instructional Video Generation
May 10, 2026Xinyi Wu, Jayant Teotia, Shuai Zhao +1Long-Horizon Video Generation Video Generation
1Nanyang Technological University
Mutual Forcing: Dual-Mode Self-Evolution for Fast Autoregressive Audio-Video Character Generation
Apr 28, 2026Yupeng Zhou, Lianghua Huang, Zhifan Wu +7Audio-Video Generation Long-Horizon Video Generation
1VCIP, School of Computer Science, Nankai University · 2Tongyi Lab · 2Tongyi Lab,3Peking University +1
Sparse Forcing: Native Trainable Sparse Attention for Real-time Autoregressive Diffusion Video Generation
Apr 23, 2026Boxun Xu, Yuming Du, Zichang Liu +7Autoregressive Diffusion Self-Attention
Meta Superintelligence Labs · University of California, Santa Barbara · Work done at Meta
DynamicRad: Content-Adaptive Sparse Attention for Long Video Diffusion
Apr 22, 2026Yongji Long, Shijun Liang, Jintao Li +1Video Diffusion Models Long-Horizon Video Generation
University of Electronic Science and Technology of China · Shenzhen Institute for Advanced Study, UESTC · Computational Mathematics, Science, & Engineering at Michigan State University (MSU)
AutoAWG: Adverse Weather Generation with Adaptive Multi-Controls for Automotive Videos
Apr 21, 2026Jiagao Hu, Daiguo Zhou, Danzhen Fu +6Synthetic Data Augmentation Long-Horizon Video Generation
MiLM Plus, Xiaomi Inc. · Wuhan, China · Xiaomi Inc. +1
Memorize When Needed: Decoupled Memory Control for Spatially Consistent Long-Horizon Video Generation
Apr 20, 2026Yanjun Guo, Zhengqiang Zhang, Pengfei Wang +3Camera-Conditioned Video Generation Long-Horizon Video Generation
The Hong Kong Polytechnic University · OPPO Research Institute
Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory
Apr 10, 2026Zile Wang, Zexiang Liu, Jiaxing Li +20Real-Time Interactive Video Generation Long-Horizon Video Generation
Skywork AI
Rolling Sink: Bridging Limited-Horizon Training and Open-Ended Testing in Autoregressive Video Diffusion
Feb 8, 2026Haodong Li, Shaoteng Liu, Zhe Lin +1Autoregressive Diffusion Long-Horizon Video Generation
UC San Diego · Adobe Research
End-to-End Training for Autoregressive Video Diffusion via Self-Resampling
Dec 17, 2025Yuwei Guo, Ceyuan Yang, Hao He +5Video Diffusion Models Autoregressive Diffusion
The Chinese University of Hong Kong, Hong Kong, China · ByteDance Seed, China · ByteDance, China
BIFE: Better Interaction, Fewer Errors for Minute-Long Video Generation
Nov 28, 2025Zeyu Zhang, Jinyuan Mao, Shuning Chang +5Long-Horizon Video Generation Autoregressive Video Generation
DAMO Academy, Alibaba Group · Zhejiang University · Hupan Lab
SSM Meets Video Diffusion Models: Efficient Long-Term Video Generation with Structured State Spaces
Mar 12, 2024Yuta Oshima, Shohei Taniguchi, Masahiro Suzuki +1Video Diffusion Models Long-Horizon Video Generation
The University of Tokyo

May 14, 2026, cs.CVJ/K move · Enter open · S save

EverAnimate: Minute-Scale Human Animation via Latent Flow Restoration

Wuyang Li, Yang Gao, Mariam Hassan, Lan Feng+3

Flow Matching Long-Horizon Video Generation Memory-Augmented Video Generation Human Motion Generation Flow-Based Generative Modeling Temporal Consistency in Video Generation

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We propose EverAnimate, an efficient post-training method for long-horizon animated video generation that preserves visual quality and character identity. Long-form animation remains challenging because highly dynamic human motion must be synthesized against relatively static environments, making chunk-based generation prone to accumulated drift: (i) low-level quality drift, such as progressive degradation of static backgrounds, and (ii) high-level semantic drift, such as inconsistent character identity and view-dependent attributes. To address this issue, EverAnimate restores drifted flow trajectories by anchoring generation to a persistent latent context memory, consisting of two complementary mechanisms. (i) Persistent Latent Propagation maintains a context memory across chunks to propagate identity and motion in latent space while mitigating temporal forgetting. (ii) Restorative Flow Matching introduces an implicit restoration objective during sampling through velocity adjustment, improving within-chunk fidelity. With only lightweight LoRA tuning, EverAnimate outperforms state-of-the-art long-animation methods in both short- and long-horizon settings: at 10 seconds, it improves PSNR/SSIM by 8%/7% and reduces LPIPS/FID by 22%/11%; at 90 seconds, the gains increase to 15%/15% and 32%/27%, respectively.

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