CVPR Findings2026
Future Optical Flow Prediction Improves Robot Control and Video Generation
Kanchana Ranasinghe, Honglu Zhou, Yu Fang, Luyu Yang, Le Xue, Ran Xu, Caiming Xiong, Silvio Savarese, Michael S Ryoo, Juan Carlos Niebles
问 Lune
尽管问，回答会引用原文。
Lune 会读完全文和相关的 Paper，每个回答都附上所依据的原文段落。
它引用的 Paper47
- High-Resolution Image Synthesis with Latent Diffusion ModelsRobin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser 等CVPR 2022 · 13,123 次引用
- Adding Conditional Control to Text-to-Image Diffusion ModelsLvmin Zhang, Anyi Rao, Maneesh AgrawalaICCV 2023 · 6,759 次引用
- Learning Universal Policies via Text-Guided Video GenerationYilun Du, Sherry Yang, Bo Dai, Hanjun Dai 等NeurIPS 2023 · 742 次引用
- VideoComposer: Compositional Video Synthesis with Motion ControllabilityXiang Wang, Hangjie Yuan, Shiwei Zhang, Dayou Chen 等NeurIPS 2023 · 579 次引用
- Self-supervised Co-Training for Video Representation LearningTengda Han, Weidi Xie, Andrew ZissermanNeurIPS 2020 · 405 次引用
相关 Paper
- VideoFlow: A Conditional Flow-Based Model for Stochastic Video GenerationManoj Kumar, Mohammad Babaeizadeh, Dumitru Erhan, Chelsea Finn 等ICLR 2020 · 142 次引用
- HiStream: Efficient High-Resolution Video Generation via Redundancy Eliminated StreamingHaonan Qiu, Shikun Liu, Zijian Zhou, Zhaochong An, Weiming Ren, Zhiheng Liu, Jonas Schult, Sen He, Shoufa Chen, Yuren Cong, Tao Xiang, Ziwei Liu, Juan-Manuel Perez-RuaCVPR Findings 2026
- Exploring Physics-aware Video Generation through Reinforcement Learning with Autoregressive TokensWang Lin, Liyu Jia, Wentao Hu, Kaihang Pan, Zhongqi Yue, Fengda Zhang, Wei Zhao, Jingyuan Chen, Fei Wu, Hanwang ZhangCVPR Findings 2026
- MotionStone: Decoupled Motion Intensity Modulation with Diffusion Transformer for Image-to-Video GenerationShuwei Shi, Biao Gong, Xi Chen, Dandan Zheng 等CVPR 2025
- Future Video Synthesis With Object Motion PredictionYue Wu, Rongrong Gao, Jaesik Park, Qifeng ChenCVPR 2020
