Justin-Tan / generative-compressionLinks
TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression
☆534Updated 4 years ago
Alternatives and similar repositories for generative-compression
Users that are interested in generative-compression are comparing it to the libraries listed below
Sorting:
- Semantic JPEG image compression using deep convolutional neural network (CNN)☆341Updated 2 years ago
- PyTorch Implementation of the CVPR'19 Paper "Practical Full Resolution Learned Lossless Image Compression"☆408Updated 2 years ago
- PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks☆200Updated 3 years ago
- ☆170Updated 7 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]☆211Updated 6 years ago
- Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression☆474Updated 2 years ago
- Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution (CVPR 2017)☆465Updated 8 years ago
- Repository of the paper "Context-adaptive Entropy Model for End-to-end Optimized Image Compression"☆150Updated 5 years ago
- Data compression in TensorFlow☆909Updated 3 weeks ago
- Compressive AutoEncoder.☆181Updated 11 months ago
- ☆383Updated 7 years ago
- Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"☆678Updated 8 years ago
- ☆12Updated 6 years ago
- Simple Tensorflow implementation of "Multimodal Unsupervised Image-to-Image Translation" (ECCV 2018)☆303Updated 6 years ago
- Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"☆741Updated 5 years ago
- The Contextual Loss☆496Updated 4 years ago
- pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802☆509Updated 7 years ago
- DVC: An End-to-end Deep Video Compression Framework, CVPR 2019 (Oral)☆459Updated 4 years ago
- Pytorch implementation of LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS (BigGAN)☆508Updated 6 years ago
- This is the codes for paper "Learning Convolutional Networks for Content-weighted Image Compression"☆77Updated 3 years ago
- ☆29Updated 9 years ago
- Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution☆344Updated 6 years ago
- ☆35Updated 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
- ☆61Updated 6 years ago
- Fast, Accurate and Lightweight Super-Resolution models☆689Updated 3 years ago
- Code for our CVPR'17 paper "Image Super-Resolution via Deep Recursive Residual Network"☆232Updated 7 years ago
- Frame-Recurrent Video Super-Resolution (official repository)☆206Updated 6 years ago
- PyTorch implementation of the Generalized divisive normalization non-linearity layer☆95Updated 4 years ago