fab-jul/L3C-PyTorch
L3C-PyTorch
PyTorch Implementation of the CVPR'19 Paper "Practical Full Resolution Learned Lossless Image Compression"
Builder
fab-jul
fab-jul • individual
Stars
409
Using upstream star count
Forks
61
Using upstream fork count
Open Issues
0
Activity Score
0/100
0 commits in 30d
Created
Apr 1, 2019
Project creation date
README Summary
This repository provides a PyTorch implementation of L3C (Learned Lossless Compression), a deep learning-based image compression method presented at CVPR 2019. The implementation focuses on achieving practical full-resolution lossless image compression using neural networks. It includes training scripts, model architectures, and evaluation tools for compressing images without any quality loss.
AI Dev Skills
Unmapped
Tags
Taxonomy
Deployment Context
Modalities
Skill Areas
Recent Activity
Updated 2 years ago
7 Days
0
30 Days
0
90 Days
0
Quality
research- Quality
- medium
- Maturity
- research
Categories
PM Skills
Languages
Timeline
- Project created
- Apr 1, 2019
- Forked
- Mar 23, 2026
- Your last push
- 2 years ago
- Upstream last push
- 2 years ago
- Tracked since
- Jul 6, 2023
Similar Repos
pgvector cosine similarity · $0
Loading…