RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models
Ozgur Kara, Bariscan Kurtkaya, Hidir Yesiltepe, James M. Rehg, Pinar Yanardag
2024年份
46顶会引用
摘要
Input Input "a white cat" "an ancient Egyptian pharaoh is typing" "a bear" "a zombie" "a dinosaur" "a man wearing a glitter jacket is typing" Figure 1 . RAVE is a lightweight and fast video editing method that enhances temporal consistency in video edits, utilizing pre-trained text-to-image diffusion models. It is capable of modifying local attributes, like changing a person's jacket (bottom right), and can also handle complex shape transformations, such as turning a wolf into a dinosaur (bottom left).
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引用它的顶会 Paper46
- ReVideo: Remake a Video with Motion and Content ControlChong Mou, Mingdeng Cao, Xintao Wang, Zhaoyang Zhang 等NeurIPS 2024 · 被引用 87 次
- COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video EditingJiangshan Wang, Yue Ma, Jiayi Guo, Yicheng Xiao 等NeurIPS 2024 · 被引用 76 次
- Ctrl-X: Controlling Structure and Appearance for Text-To-Image Generation Without GuidanceKuan Heng Lin, Sicheng Mo, Ben Klingher, Fangzhou Mu 等NeurIPS 2024 · 被引用 51 次
- IVEBench: Modern Benchmark Suite for Instruction-Guided Video Editing AssessmentYinan Chen, Jiangning Zhang, Teng Hu, Yuxiang Zeng 等ICLR 2026 · 被引用 29 次
- FlowDirector: Training-Free Flow Steering for Precise Text-to-Video EditingGuangzhao Li, Yanming Yang, Chenxi Song, Xiaohong Liu 等CVPR 2026 · 被引用 27 次
它引用的顶会 Paper28
- 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
- High-Resolution Image Synthesis with Latent Diffusion ModelsRobin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser 等CVPR 2022 · 被引用 13,123 次
- Denoising Diffusion Implicit ModelsJiaming Song, Chenlin Meng, Stefano ErmonICLR 2021 · 被引用 11,743 次
- Photorealistic Text-to-Image Diffusion Models with Deep Language UnderstandingChitwan Saharia, William Chan, Saurabh Saxena, Lala Li 等NeurIPS 2022 · 被引用 8,965 次
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