CCEdit: Creative and Controllable Video Editing via Diffusion Models
Ruoyu Feng, Wenming Weng, Yanhui Wang, Yuhui Yuan, Jianmin Bao, Chong Luo, Zhibo Chen, Baining Guo
Abstract
Intention: Replace the background with snowy winter scene. Intention: Make the foreground puppy chubby and adorable. Input Video Edited Video Intention: Transform this video into the mechanical style. Intention: Transform this video into the cyberpunk style. Intention: Transform this video into the Van Gogh Starry Night style. Figure 1. Built upon diffusion models, CCEdit provides users with a powerful and flexible set of video editing capabilities, including style transfer (row 1-3), foreground modifications (row 4), and background replacement (row 5).
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Install the CLIlune papers fulltext 1f34e1d5-b52e-4a2b-affd-72c4580dcc8eCited by top-tier papers47
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Builds on35
- Denoising Diffusion Probabilistic ModelsJonathan Ho, Ajay Jain, Pieter AbbeelNeurIPS 2020 · 35,902 citations
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- Photorealistic Text-to-Image Diffusion Models with Deep Language UnderstandingChitwan Saharia, William Chan, Saurabh Saxena, Lala Li et al.NeurIPS 2022 · 8,965 citations
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