sczhou/Upscale-A-Video
A diffusion model that upscales low-resolution videos to higher resolution while maintaining temporal consistency.
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Upscale-A-Video is a temporal-consistent diffusion model designed for real-world video super-resolution. It takes low-resolution videos and optional text prompts as input and outputs enhanced high-resolution videos. The model leverages diffusion-based generation to produce visually improved frames while preserving temporal coherence across the video sequence. Published at CVPR 2024 as a highlight paper.
Frequently asked
- What is sczhou/Upscale-A-Video?
- A diffusion model that upscales low-resolution videos to higher resolution while maintaining temporal consistency.
- Is Upscale-A-Video open source?
- Yes — sczhou/Upscale-A-Video is an open-source project tracked on heatdrop.
- What language is Upscale-A-Video written in?
- sczhou/Upscale-A-Video is primarily written in Python.
- How popular is Upscale-A-Video?
- sczhou/Upscale-A-Video has 1.5k stars on GitHub.
- Where can I find Upscale-A-Video?
- sczhou/Upscale-A-Video is on GitHub at https://github.com/sczhou/Upscale-A-Video.