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https://github.com/Picsart-AI-Research/Text2Video-Zero
[ICCV 2023 Oral] Text-to-Image Diffusion Models are Zero-Shot Video Generators
https://github.com/Picsart-AI-Research/Text2Video-Zero
video-editing video-generation
Last synced: about 2 months ago
JSON representation
[ICCV 2023 Oral] Text-to-Image Diffusion Models are Zero-Shot Video Generators
- Host: GitHub
- URL: https://github.com/Picsart-AI-Research/Text2Video-Zero
- Owner: Picsart-AI-Research
- License: other
- Created: 2023-03-21T13:41:40.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-05-06T22:35:28.000Z (over 1 year ago)
- Last Synced: 2024-06-12T12:23:42.440Z (3 months ago)
- Topics: video-editing, video-generation
- Language: Python
- Homepage: https://text2video-zero.github.io/
- Size: 90.1 MB
- Stars: 3,869
- Watchers: 65
- Forks: 330
- Open Issues: 44
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Metadata Files:
- Readme: README.md
- License: LICENSE
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- ai-game-devtools - Text2Video-Zero - to-Image Diffusion Models are Zero-Shot Video Generators. |[arXiv](https://arxiv.org/abs/2303.13439) | | Video | (<span id="video">Video</span> / <span id="tool">Tool (AI LLM)</span>)