Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Wentao, Guo, Junliang, He, Tianyu, Zhao, Li, Xu, Linli, Bian, Jiang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AR4D: Autoregressive 4D Generation from Monocular Videos
by: Zhu, Hanxin, et al.
Published: (2025)
by: Zhu, Hanxin, et al.
Published: (2025)
Fast Autoregressive Video Generation with Diagonal Decoding
by: Ye, Yang, et al.
Published: (2025)
by: Ye, Yang, et al.
Published: (2025)
Compositional 3D-aware Video Generation with LLM Director
by: Zhu, Hanxin, et al.
Published: (2024)
by: Zhu, Hanxin, et al.
Published: (2024)
VidTwin: Video VAE with Decoupled Structure and Dynamics
by: Wang, Yuchi, et al.
Published: (2024)
by: Wang, Yuchi, et al.
Published: (2024)
UniEdit: A Unified Tuning-Free Framework for Video Motion and Appearance Editing
by: Bai, Jianhong, et al.
Published: (2024)
by: Bai, Jianhong, et al.
Published: (2024)
VidTok: A Versatile and Open-Source Video Tokenizer
by: Tang, Anni, et al.
Published: (2024)
by: Tang, Anni, et al.
Published: (2024)
Playing with Transformer at 30+ FPS via Next-Frame Diffusion
by: Cheng, Xinle, et al.
Published: (2025)
by: Cheng, Xinle, et al.
Published: (2025)
Geometry Forcing: Marrying Video Diffusion and 3D Representation for Consistent World Modeling
by: Wu, Haoyu, et al.
Published: (2025)
by: Wu, Haoyu, et al.
Published: (2025)
A Video is Worth 256 Bases: Spatial-Temporal Expectation-Maximization Inversion for Zero-Shot Video Editing
by: Li, Maomao, et al.
Published: (2023)
by: Li, Maomao, et al.
Published: (2023)
Zero-Shot Video Translation via Token Warping
by: Zhu, Haiming, et al.
Published: (2024)
by: Zhu, Haiming, et al.
Published: (2024)
Zero-Shot Video Deraining with Video Diffusion Models
by: Varanka, Tuomas, et al.
Published: (2025)
by: Varanka, Tuomas, et al.
Published: (2025)
DiTVR: Zero-Shot Diffusion Transformer for Video Restoration
by: Gao, Sicheng, et al.
Published: (2025)
by: Gao, Sicheng, et al.
Published: (2025)
LIVE: Long-horizon Interactive Video World Modeling
by: Huang, Junchao, et al.
Published: (2026)
by: Huang, Junchao, et al.
Published: (2026)
Scaling Zero-Shot Reference-to-Video Generation
by: Zhou, Zijian, et al.
Published: (2025)
by: Zhou, Zijian, et al.
Published: (2025)
LMP: Leveraging Motion Prior in Zero-Shot Video Generation with Diffusion Transformer
by: Chen, Changgu, et al.
Published: (2025)
by: Chen, Changgu, et al.
Published: (2025)
MVP: Enhancing Video Large Language Models via Self-supervised Masked Video Prediction
by: Sun, Xiaokun, et al.
Published: (2026)
by: Sun, Xiaokun, et al.
Published: (2026)
CustomVideoX: 3D Reference Attention Driven Dynamic Adaptation for Zero-Shot Customized Video Diffusion Transformers
by: She, D., et al.
Published: (2025)
by: She, D., et al.
Published: (2025)
Streaming Video Question-Answering with In-context Video KV-Cache Retrieval
by: Di, Shangzhe, et al.
Published: (2025)
by: Di, Shangzhe, et al.
Published: (2025)
Motion-Zero: Zero-Shot Moving Object Control Framework for Diffusion-Based Video Generation
by: Chen, Changgu, et al.
Published: (2024)
by: Chen, Changgu, et al.
Published: (2024)
ARLON: Boosting Diffusion Transformers with Autoregressive Models for Long Video Generation
by: Li, Zongyi, et al.
Published: (2024)
by: Li, Zongyi, et al.
Published: (2024)
MonoMobility: Zero-Shot 3D Mobility Analysis from Monocular Videos
by: Zhou, Hongyi, et al.
Published: (2025)
by: Zhou, Hongyi, et al.
Published: (2025)
DreamVideo-2: Zero-Shot Subject-Driven Video Customization with Precise Motion Control
by: Wei, Yujie, et al.
Published: (2024)
by: Wei, Yujie, et al.
Published: (2024)
SAMJAM: Zero-Shot Video Scene Graph Generation for Egocentric Kitchen Videos
by: Li, Joshua, et al.
Published: (2025)
by: Li, Joshua, et al.
Published: (2025)
GAIA: Zero-shot Talking Avatar Generation
by: He, Tianyu, et al.
Published: (2023)
by: He, Tianyu, et al.
Published: (2023)
SUGAR: Subject-Driven Video Customization in a Zero-Shot Manner
by: Zhou, Yufan, et al.
Published: (2024)
by: Zhou, Yufan, et al.
Published: (2024)
VILP: Imitation Learning with Latent Video Planning
by: Xu, Zhengtong, et al.
Published: (2025)
by: Xu, Zhengtong, et al.
Published: (2025)
ID-Animator: Zero-Shot Identity-Preserving Human Video Generation
by: He, Xuanhua, et al.
Published: (2024)
by: He, Xuanhua, et al.
Published: (2024)
Zero-Shot Video Restoration and Enhancement with Assistance of Video Diffusion Models
by: Cao, Cong, et al.
Published: (2026)
by: Cao, Cong, et al.
Published: (2026)
Zero-Shot Long-Form Video Understanding through Screenplay
by: Wu, Yongliang, et al.
Published: (2024)
by: Wu, Yongliang, et al.
Published: (2024)
Dynamic Token Compression for Efficient Video Understanding through Reinforcement Learning
by: Wang, Shida, et al.
Published: (2026)
by: Wang, Shida, et al.
Published: (2026)
FilmWeaver: Weaving Consistent Multi-Shot Videos with Cache-Guided Autoregressive Diffusion
by: Luo, Xiangyang, et al.
Published: (2025)
by: Luo, Xiangyang, et al.
Published: (2025)
Learning from Next-Frame Prediction: Autoregressive Video Modeling Encodes Effective Representations
by: Li, Jinghan, et al.
Published: (2025)
by: Li, Jinghan, et al.
Published: (2025)
Efficient Autoregressive Video Diffusion with Dummy Head
by: Guo, Hang, et al.
Published: (2026)
by: Guo, Hang, et al.
Published: (2026)
CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives
by: Meng, Yihao, et al.
Published: (2026)
by: Meng, Yihao, et al.
Published: (2026)
Are Image-to-Video Models Good Zero-Shot Image Editors?
by: Zhang, Zechuan, et al.
Published: (2025)
by: Zhang, Zechuan, et al.
Published: (2025)
MultiShotMaster: A Controllable Multi-Shot Video Generation Framework
by: Wang, Qinghe, et al.
Published: (2025)
by: Wang, Qinghe, et al.
Published: (2025)
End-to-End Training for Autoregressive Video Diffusion via Self-Resampling
by: Guo, Yuwei, et al.
Published: (2025)
by: Guo, Yuwei, et al.
Published: (2025)
DiT as Real-Time Rerenderer: Streaming Video Stylization with Autoregressive Diffusion Transformer
by: Lyu, Hengye, et al.
Published: (2026)
by: Lyu, Hengye, et al.
Published: (2026)
Are Video Models Emerging as Zero-Shot Learners and Reasoners in Medical Imaging?
by: Lai, Yuxiang, et al.
Published: (2025)
by: Lai, Yuxiang, et al.
Published: (2025)
ANYPORTAL: Zero-Shot Consistent Video Background Replacement
by: Gao, Wenshuo, et al.
Published: (2025)
by: Gao, Wenshuo, et al.
Published: (2025)
Similar Items
-
AR4D: Autoregressive 4D Generation from Monocular Videos
by: Zhu, Hanxin, et al.
Published: (2025) -
Fast Autoregressive Video Generation with Diagonal Decoding
by: Ye, Yang, et al.
Published: (2025) -
Compositional 3D-aware Video Generation with LLM Director
by: Zhu, Hanxin, et al.
Published: (2024) -
VidTwin: Video VAE with Decoupled Structure and Dynamics
by: Wang, Yuchi, et al.
Published: (2024) -
UniEdit: A Unified Tuning-Free Framework for Video Motion and Appearance Editing
by: Bai, Jianhong, et al.
Published: (2024)