This repository is a paper digest of deep neural network (DNN)-based approaches in data compression tasks, including image compression and video compression. Papers are listed in alphabetical order of the first character. All links to the materials are freely accessible.
- (Talk) Learned Image Compression [video]
- (Survey) Image and Video Compression with Neural Networks: A Review [paper]
- (Library) CompressAI: A PyTorch Library and Evaluation Platform for End-to-End Compression Research [code] [doc]
- (Tool) GetData Graph Digitizer [web] (useful when you want to get the rate-distortion curve in a paper without accessing its code)
- (People) Johannes Ballé@Google [web]
- (Background) An Introduction to Neural Data Compression [paper]
- Joint Autoregressive and Hierarchical Priors for Learned Image Compression [paper&review] [code]
- David Minnen, Johannes Ballé, George Toderici
- Variational Image Compression with a Scale Hyperprior [paper&review] [code]
- Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston
- End-to-End Optimized Image Compression [paper&review] [code]
- Johannes Ballé, Valero Laparra, Eero P. Simoncelli
- MIMT: Masked Image Modeling Transformer for Video Compression [paper&review] [
code]- Jinxi Xiang, Kuan Tian, Jun Zhang
- VCT: A Video Compression Transformer [paper&review] [code]
- Fabian Mentzer, George Toderici, David Minnen, Sung Jin Hwang, Sergi Caelles, Mario Lucic, Eirikur Agustsson
- Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compression [paper] [code]
- Jiahao Li, Bin Li, Yan Lu
- FVC: A New Framework towards Deep Video Compression in Feature Space [paper] [code]
- Zhihao Hu, Guo Lu, Dong Xu
- Deep Contextual Video Compression [paper&review] [code]
- Jiahao Li, Bin Li, Yan Lu
- Scale-Space Flow for End-to-End Optimized Video Compression [paper] [code]
- Eirikur Agustsson, David Minnen, Nick Johnston, Johannes Balle, Sung Jin Hwang, George Toderici
- Conditional Entropy Coding for Efficient Video Compression [paper] [
code]- Jerry Liu, Shenlong Wang, Wei-Chiu Ma, Meet Shah, Rui Hu, Pranaab Dhawan, Raquel Urtasun