haimengzhao / CAE-ADMMLinks
CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders
☆47Updated 5 years ago
Alternatives and similar repositories for CAE-ADMM
Users that are interested in CAE-ADMM are comparing it to the libraries listed below
Sorting:
- Deep generative models for distribution-preserving lossy compression☆33Updated 6 years ago
- Image compression☆17Updated 4 years ago
- ☆61Updated 6 years ago
- PyTorch implementation of the Generalized divisive normalization non-linearity layer☆95Updated 3 years ago
- DSSLIC: Deep Semantic Segmentation-based Layered Image Compression☆47Updated 6 years ago
- ☆10Updated 5 years ago
- TensorFlow implementation of Conditional Probability Models for Deep Image Compression, published in CVPR 2018☆180Updated 6 years ago
- Image compression using Variational Autoencoder and Generative Adversarial Networks.☆11Updated 6 years ago
- Deep Image Compression using Decoder Side Information (ECCV 2020)☆46Updated 2 years ago
- The code for Channel-Level Variable Quantization Network for Deep Image Compression (IJCAI 2020)☆30Updated 4 years ago
- Compressive AutoEncoder.☆178Updated 8 months ago
- ☆35Updated 5 years ago
- A code to implement end to end image compression framework☆37Updated 6 years ago
- ☆29Updated 8 years ago
- CNN Baseline for Image Compression☆10Updated 6 years ago
- PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks☆196Updated 2 years ago
- ☆169Updated 7 years ago
- Video Compression through Image Interpolation (ECCV'18) [PyTorch]☆211Updated 6 years ago
- Repository of the paper "Context-adaptive Entropy Model for End-to-end Optimized Image Compression"☆149Updated 5 years ago
- Autoencoder based image compression: can the learning be quantization independent? https://arxiv.org/abs/1802.09371☆19Updated 2 years ago
- There are some papers about image compression☆31Updated 6 years ago
- Deep learning for video compression.☆43Updated 5 years ago
- PyTorch Implementation of the CVPR'19 Paper "Practical Full Resolution Learned Lossless Image Compression"☆404Updated 2 years ago
- ☆12Updated 6 years ago
- ☆133Updated 2 years ago
- Image Compression using CNN based Autoencoders☆39Updated 3 years ago
- PyTorch implementation of "ODE-inspired Network Design for Single Image Super-Resolution"(CVPR2019)☆134Updated 6 years ago
- Perceptual quality metrics for TensorFlow☆43Updated 3 years ago
- PyTorch code for the CVPR'20 paper "Learning Better Lossless Compression Using Lossy Compression"☆61Updated 2 years ago
- PyTorch deep learning framework for video compressive sensing.☆80Updated 4 years ago