ELIC: Efficient Learned Image Compression
What it is
An unofficial PyTorch implementation of the ELIC paper, which focuses on learned image compression using unevenly grouped space-channel contextual adaptive coding. It is built upon the CompressAI framework.
The problem it solves
Provides a high-quality, accessible implementation of a specific CVPR 2022 paper for the research community.
What you could use it for
- Image compression research and development
- Implementing learned image compression models in PyTorch
- Evaluating space-channel contextual adaptive coding techniques
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.