Vchitect/VEnhancer
VEnhancer is an all-in-one generative video enhancement model based on diffusion models that performs spatial super-resolution, temporal super-resolution, and video refinement.
Not currently ranked — collecting fresh signals.
star history
VEnhancer is an official implementation of a research paper on generative video enhancement. It uses diffusion models to improve AI-generated videos through spatial super-resolution (increasing resolution), temporal super-resolution (frame interpolation), and general video refinement. The model is designed specifically to enhance videos produced by other AI video generation systems.
Frequently asked
- What is Vchitect/VEnhancer?
- VEnhancer is an all-in-one generative video enhancement model based on diffusion models that performs spatial super-resolution, temporal super-resolution, and video refinement.
- Is VEnhancer open source?
- Yes — Vchitect/VEnhancer is an open-source project tracked on heatdrop.
- What language is VEnhancer written in?
- Vchitect/VEnhancer is primarily written in Python.
- How popular is VEnhancer?
- Vchitect/VEnhancer has 576 stars on GitHub.
- Where can I find VEnhancer?
- Vchitect/VEnhancer is on GitHub at https://github.com/Vchitect/VEnhancer.