Color_distillation
Codes for CVPR 2020 paper "Learning to Structure an Image with Few Colors". Critical structure for network recognition. #explainable-ai
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Srec | 918 | 2 years ago | 8 | mit | Python | |||||
| PyTorch Implementation of "Lossless Image Compression through Super-Resolution" | ||||||||||
| High Fidelity Generative Compression | 252 | 2 years ago | 12 | apache-2.0 | Python | |||||
| Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression | ||||||||||
| Fbcnn | 206 | 2 years ago | 1 | apache-2.0 | Python | |||||
| Towards Flexible Blind JPEG Artifacts Removal (FBCNN, ICCV 2021) | ||||||||||
| Mcquic | 70 | a year ago | 43 | May 27, 2022 | 3 | apache-2.0 | Python | |||
| Repository of CVPR'22 paper "Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression" | ||||||||||
| Blockcnn | 60 | a year ago | 3 | Python | ||||||
| BlockCNN: A Deep Network for Artifact Removal and Image Compression | ||||||||||
| Diff Jpeg | 53 | 6 months ago | bsd-3-clause | Python | ||||||
| Official and maintained implementation of the paper "Differentiable JPEG: The Devil is in the Details" [WACV 2024]. | ||||||||||
| Cool Chic | 47 | 5 months ago | bsd-3-clause | Python | ||||||
| Cool-chic is a low-complexity neural image codec based on overfitting, competitive with VVC. | ||||||||||
| Color_distillation | 33 | 3 years ago | Python | |||||||
| Codes for CVPR 2020 paper "Learning to Structure an Image with Few Colors". Critical structure for network recognition. #explainable-ai | ||||||||||
| Cae Admm | 25 | 4 years ago | 1 | mit | Python | |||||
| CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders | ||||||||||
| Fidelity_controllable_compression | 19 | 2 years ago | 1 | mit | Python | |||||
| Official PyTorch Implementation of Fidelity Controllable Extreme Image Compression with GAN | ||||||||||
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