Dream Video: Composing Your Dream Videos with Customized Subject and Motion
Yujie Wei, Shiwei Zhang, Zhiwu Qing, Hangjie Yuan, Zhiheng Liu, Yu Liu, Yingya Zhang, Jingren Zhou, Hongming Shan
2024年份
50顶会引用
摘要
Customized generation using diffusion models has made impressive progress in image generation, but remains unsatisfactory in the challenging video generation task, as it
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper50
- CustomCrafter: Customized Video Generation with Preserving Motion and Concept Composition AbilitiesTao Wu, Yong Zhang, Xintao Wang, Xianpan Zhou 等AAAI 2025 · 被引用 62 次
- Direct-a-Video: Customized Video Generation with User-Directed Camera Movement and Object MotionShiyuan Yang, Liang Hou, Haibin Huang, Chongyang Ma 等SIGGRAPH 2024 · 被引用 46 次
- MagCache: Fast Video Generation with Magnitude-Aware CacheZehong Ma, Longhui Wei, Feng Wang, Shiliang Zhang 等NeurIPS 2025 · 被引用 41 次
- Stand-In: A Lightweight and Plug-and-Play Identity Control for Video GenerationBowen Xue, Zheng-Peng Duan, Qixin Yan, Wenjing Wang 等CVPR 2026 · 被引用 28 次
- Routing Matters in MoE: Scaling Diffusion Transformers with Explicit Routing GuidanceYujie Wei, Shiwei Zhang, Hangjie Yuan, Yujin Han 等ICLR 2026 · 被引用 26 次
它引用的顶会 Paper49
- Learning Transferable Visual Models From Natural Language SupervisionAlec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh 等ICML 2021 · 被引用 47,906 次
- Denoising Diffusion Probabilistic ModelsJonathan Ho, Ajay Jain, Pieter AbbeelNeurIPS 2020 · 被引用 35,902 次
- LoRA: Low-Rank Adaptation of Large Language ModelsEdward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu 等ICLR 2022 · 被引用 18,833 次
- High-Resolution Image Synthesis with Latent Diffusion ModelsRobin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser 等CVPR 2022 · 被引用 13,123 次
- Directly Denoising Diffusion ModelsDan Zhang, Jingjing Wang, Feng LuoICML 2024 · 被引用 11,724 次
相关 Paper
- Efficient Denoising Diffusion via Probabilistic MaskingWeizhong Zhang, Zhiwei Zhang, Renjie Pi, Zhongming Jin 等ICML 2024
- Video Diffusion ModelsJonathan Ho, Tim Salimans, Alexey A. Gritsenko, William Chan 等NeurIPS 2022 · 被引用 2,948 次
- Otil: Accelerating Diffusion Model Inference via Communication-Efficient Multi-GPU ParallelismXin Li, Shujun Tian, Tao Lu, Han Bao 等CVPR 2026
- FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less ComputeSotiris Anagnostidis, Gregor Bachmann, Yeongmin Kim, Jonas Kohler 等CVPR 2025
- MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video GenerationLudan Ruan, Yiyang Ma, Huan Yang, Huiguo He 等CVPR 2023
