Summary of Magicvideo-v2: Multi-stage High-aesthetic Video Generation, by Weimin Wang et al.
MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation
by Weimin Wang, Jiawei Liu, Zhijie Lin, Jiangqiao Yan, Shuo Chen, Chetwin Low, Tuyen Hoang, Jie Wu, Jun Hao Liew, Hanshu Yan, Daquan Zhou, Jiashi Feng
First submitted to arxiv on: 9 Jan 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 MagicVideo-V2 is an end-to-end video generation pipeline that integrates text-to-image models, video motion generators, reference image embedding modules, and frame interpolation modules to produce high-fidelity videos from textual descriptions. By combining these architectural designs, MagicVideo-V2 generates aesthetically pleasing, high-resolution videos with remarkable fidelity and smoothness, outperforming leading Text-to-Video systems like Runway, Pika 1.0, Morph, Moon Valley, and Stable Video Diffusion model in user evaluations at large scale. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary MagicVideo-V2 is a new way to make videos from words. It’s like a superpower that can turn text into realistic movies! This powerful tool takes words and turns them into beautiful, high-quality videos. It does this by combining different parts together, like a recipe for making movies. The result is amazing – MagicVideo-V2 makes videos that look really good and are very smooth to watch. |
Keywords
* Artificial intelligence * Diffusion model * Embedding
