VirtualCodecNetwork / CVPR-CLIC-2018Links
☆12Updated 6 years ago
Alternatives and similar repositories for CVPR-CLIC-2018
Users that are interested in CVPR-CLIC-2018 are comparing it to the libraries listed below
Sorting:
- ☆10Updated 5 years ago
- ☆167Updated 6 years ago
- TensorFlow implementation of Conditional Probability Models for Deep Image Compression, published in CVPR 2018☆180Updated 6 years ago
- Video Compression through Image Interpolation (ECCV'18) [PyTorch]☆210Updated 6 years ago
- ☆61Updated 6 years ago
- DSSLIC: Deep Semantic Segmentation-based Layered Image Compression☆47Updated 6 years ago
- An Unofficial PyTorch Implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network☆58Updated 4 years ago
- Learning a Spatial Activation Function for Efficient Image Restoration☆88Updated 4 years ago
- PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks☆195Updated 2 years ago
- CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders☆47Updated 4 years ago
- ☆94Updated 5 years ago
- Recent papers and codes related to deep learning-based image/video compression. Mainly focus on top venues of machine learning / neural n…☆29Updated 6 years ago
- Image compression☆17Updated 3 years ago
- ☆29Updated 8 years ago
- DSSLIC: Deep Semantic Segmentation-based Layered Image Compression☆9Updated 6 years ago
- Deep learning for video compression.☆43Updated 5 years ago
- ☆75Updated 7 years ago
- Predictive Filter Flow for fully/self-supervised learning on various vision tasks☆140Updated 5 years ago
- PyTorch implementation of "MGANet & DCC2020 paper"☆40Updated 4 years ago
- Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)☆119Updated 6 years ago
- Code for Non-Local Recurrent Network for Image Restoration (NeurIPS 2018)☆168Updated 6 years ago
- CNN Baseline for Image Compression☆10Updated 6 years ago
- Context-adaptive neural network based prediction for image compression https://arxiv.org/abs/1807.06244☆24Updated 5 years ago
- PyTorch implementation of the Generalized divisive normalization non-linearity layer☆94Updated 3 years ago
- ☆131Updated last year
- SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks☆31Updated 6 years ago
- This is the codes for paper "Learning Convolutional Networks for Content-weighted Image Compression"☆73Updated 3 years ago
- SRCNN implementation using Pytorch☆16Updated 7 years ago
- Collection of Super-Resolution models via PyTorch☆91Updated 7 years ago
- Deep generative models for distribution-preserving lossy compression☆33Updated 6 years ago