Summary of Video Generation with Consistency Tuning, by Chaoyi Wang et al.
Video Generation with Consistency Tuning
by Chaoyi Wang, Yaozhe Song, Yafeng Zhang, Jun Pei, Lijie Xia, Jianpo Liu
First submitted to arxiv on: 11 Mar 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed framework consists of four modules: separate tuning module, average fusion module, combined tuning module, and inter-frame consistency module, aimed at generating long videos without noise. The modules optimize the consistency of background and foreground in each frame, leading to high-quality video generation comparable to state-of-the-art methods. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The researchers developed a new approach to create high-quality long videos without jitter and noise. They designed four modules that work together to make sure the background and foreground in each frame look good. This resulted in better-than-state-of-the-art video quality. |
