thierrydumas / autoencoder_based_image_compression
Autoencoder based image compression: can the learning be quantization independent? https://arxiv.org/abs/1802.09371
☆19Updated last year
Related projects: ⓘ
- Context-adaptive neural network based prediction for image compression https://arxiv.org/abs/1807.06244☆24Updated 4 years ago
- ☆58Updated 5 years ago
- A code to implement end to end image compression framework☆37Updated 5 years ago
- ☆36Updated 4 years ago
- Image compression☆16Updated 2 years ago
- a fast range coder in C++, using SSE☆67Updated 11 months ago
- Lossy compression; Variable rate compresson; Lossless compression;☆56Updated last year
- Official PyTorch Implementation of Fidelity Controllable Extreme Image Compression with GAN☆31Updated 2 years ago
- Image Compression using CNN based Autoencoders☆35Updated 2 years ago
- Repository of the paper "Context-adaptive Entropy Model for End-to-end Optimized Image Compression"☆144Updated 4 years ago
- PyTorch implementation of the Generalized divisive normalization non-linearity layer☆92Updated 2 years ago
- Deep learning for video compression.☆42Updated 4 years ago
- PyTorch code for the CVPR'20 paper "Learning Better Lossless Compression Using Lossy Compression"☆59Updated last year
- DSSLIC: Deep Semantic Segmentation-based Layered Image Compression☆44Updated 5 years ago
- This is the codes for paper "Learning Convolutional Networks for Content-weighted Image Compression"☆71Updated 2 years ago
- ☆16Updated last year
- Implementation of ICASSP2020 paper "Variable Bitrate Image Compression with Quality Scaling Factors"☆19Updated last year
- Code and data for "Content-aware Convolutional Neural Network for in-loop filtering in High Efficiency Video Coding." (TIP2019)☆24Updated 5 years ago
- Deep Image Compression using Decoder Side Information (ECCV 2020)☆45Updated last year
- Image compression using Variational Autoencoder and Generative Adversarial Networks.☆11Updated 5 years ago
- ☆21Updated 3 years ago
- The project page of the paper: Ren Yang, Xiaoyan Sun, Mai Xu and Wenjun Zeng, "Quality-Gated Convolutional LSTM for Enhancing Compressed…☆45Updated last year
- PyTorch implementation of Learning Convolutional Networks for Content-Weighted Image Compression☆23Updated 2 years ago
- TensorFlow implementation of Conditional Probability Models for Deep Image Compression, published in CVPR 2018☆181Updated 5 years ago
- Slimmable Compressive Autoencoders for Practical Neural Image Compression☆46Updated 2 years ago
- ☆29Updated 7 years ago
- PyTorch implementation of "MGANet & DCC2020 paper"☆39Updated 3 years ago
- CNN Baseline for Image Compression☆10Updated 5 years ago
- Implementation of: Real-Time Adaptive Image Compression by Oren Rippel and Lubomir Bourdev☆15Updated 4 years ago
- Image Compression with Recurrent Neural Network and Generalized Divisive Normalization at CVPR 2021☆11Updated 3 years ago