mlomnitz / CompressionGANLinks
Deep Learning model for image compression
β11Updated 7 years ago
Alternatives and similar repositories for CompressionGAN
Users that are interested in CompressionGAN are comparing it to the libraries listed below
Sorting:
- Convolutional Neural Network (CNN) Image Compression π€πΌοΈπβ10Updated 2 years ago
- Autoencoder based image compression: can the learning be quantization independent? https://arxiv.org/abs/1802.09371β19Updated 3 years ago
- Image compression using Variational Autoencoder and Generative Adversarial Networks.β11Updated 6 years ago
- Image compressionβ17Updated 4 years ago
- Context-adaptive neural network based prediction for image compression https://arxiv.org/abs/1807.06244β23Updated 5 years ago
- β29Updated 9 years ago
- Image compression using neural networksβ23Updated 8 years ago
- Video Compression through Image Interpolation (ECCV'18) [PyTorch]β211Updated 6 years ago
- CNN Baseline for Image Compressionβ10Updated 7 years ago
- β170Updated 7 years ago
- β12Updated 6 years ago
- TensorFlow implementation of Conditional Probability Models for Deep Image Compression, published in CVPR 2018β180Updated 6 years ago
- β35Updated 5 years ago
- Image compression codecs benchmark inspired by Google's "Full Resolution Image Compression with Recurrent Neural Networks"β42Updated 9 years ago
- Deep generative models for distribution-preserving lossy compressionβ33Updated 7 years ago
- PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networksβ200Updated 3 years ago
- β10Updated 5 years ago
- A code to implement end to end image compression frameworkβ37Updated 7 years ago
- β61Updated 6 years ago
- Deep learning for video compression.β43Updated 6 years ago
- SRGAN implemetation with TensorFlowβ83Updated 8 years ago
- Semantic JPEG image compression using deep convolutional neural network (CNN)β341Updated 2 years ago
- Recent papers and codes related to deep learning-based image/video compression. Mainly focus on top venues of machine learning / neural nβ¦β29Updated 6 years ago
- release code for ICIP2017 paper "Single Image Super-resolution with Dilated Convolution based Multi-scale Information Learning Inception β¦β15Updated 8 years ago
- Image Compression on COCO Dataset using Convolution AutoEncodersβ12Updated 6 years ago
- CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencodersβ47Updated 5 years ago
- Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search (ICML 2018)β71Updated 7 years ago
- Code for our ICCV'17 paper "MemNet: A Persistent Memory Network for Image Restoration" (SPOTLIGHT Presentation)β185Updated 7 years ago
- The project page of the paper: Ren Yang, Xiaoyan Sun, Mai Xu and Wenjun Zeng, "Quality-Gated Convolutional LSTM for Enhancing Compressedβ¦β45Updated 10 months ago
- End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networksβ26Updated 8 years ago