gjjustc / image-compression-papers-and-code

A summary of image compression papers & code

✔️ [Variable Rate Image Compression with Recurrent Neural Networks][paper][code]

✔️ [Full Resolution Image Compression with Recurrent Neural Networks][paper][code]

✔️ [Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks][paper][code]

✔️ [Lossy Image Compression with Compressive Autoencoders][paper][code_version1][code_version2]

✔️ [Real-Time Adaptive Image Compression][paper][code]

✔️ [Learning to Inpaint for Image Compression][paper][code]

✔️ [Conditional Probability Models for Deep Image Compression][paper][code]

✔️ [Generative Adversarial Networks for Extreme Learned Image Compression][paper][code]

✔️ [Learning Convolutional Networks for Content-weighted Image Compression][paper][code]

✔️ [End-to-end Optimized Image Compression][paper][code]

✔️ [Towards Conceptual Compression][paper][code]

✔️ [Guetzli: Perceptually Guided JPEG Encode][paper][code]

✔️ [Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations][paper][code]

✔️ [An End-to-End Compression Framework Based on Convolutional Neural Networks][paper][code]

✔️ [CAE-ADMM Implicit Bitrate Optimization via ADMM-based Pruning in Compressive Autoencoders ][paper][code]

✔️ [Learned Image Compression with Soft Bit-based Rate-Distortion Optimization][[paper]][code]

✔️ [Extreme Image Compression via Multiscale Autoencoders With Generative Adversarial Optimization][[paper]][code]

✔️ [Variational image compression with a scale hyperprior][[paper]][code]

✔️ [DSSLIC: Deep Semantic Segmentation-based Layered Image Compression][paper][code]

Image super-resolution

✔️ [High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs][paper][code]

✔️ [Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network][paper][code_PyTorch][code_TF]

✔️ [Convolutional Sparse Coding for Image Super-resolution][paper][code]

✔️ [ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks][paper][code]

✔️ [Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network][paper][code]

✔️ [Image Super-Resolution Using Deep Convolutional Networks][paper][code]