---
tags: MAPL, Paper presentation
---

# Suggest papers

## Image compression
##### CNN Based
* [Variational image compression with a scale hyperprior](https://arxiv.org/abs/1802.01436)
* [PixelCNN](https://arxiv.org/abs/1606.05328)
* [Joint Autoregressive and Hierarchical Priors for Learned Image Compression](https://arxiv.org/abs/1809.02736)
* [GMM model](https://arxiv.org/abs/2001.01568)
* [Channel-wise autoregressive](https://arxiv.org/abs/2007.08739)
* [Checkboard](https://arxiv.org/abs/2103.15306)
* [Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform](https://arxiv.org/abs/2108.09551)
* [SFT](https://arxiv.org/abs/1804.02815)
* [NLA](https://arxiv.org/abs/1910.06244)
* [Practical Full Resolution Learned Lossless Image Compression](https://arxiv.org/abs/1811.12817)
* [ANFIC: Image Compression Using Augmented Normalizing Flows](https://arxiv.org/abs/2107.08470)
* [Learning Deep Features for Discriminative Localization](https://arxiv.org/abs/1512.04150)
* [Integer Discrete Flows and Lossless Compression](https://arxiv.org/abs/1905.07376)
* [IDF++](https://arxiv.org/abs/2006.12459)
* [RaFC](https://arxiv.org/abs/2009.05982)
* [Coarse2fine image compression](https://huzi96.github.io/coarse-to-fine-compression.html)
##### Transformer Based
* [TinyLIC](https://arxiv.org/abs/2204.11448)
* [Qualcomm transformer-based image compression](https://paperswithcode.com/paper/transformer-based-transform-coding)
* [EntroFormer](https://arxiv.org/abs/2202.05492)
* [ContextFormer](https://arxiv.org/abs/2203.02452)

##### Optical Flow
* [Scale-space flow for end-to-end optimized video compression](https://openaccess.thecvf.com/content_CVPR_2020/papers/Agustsson_Scale-Space_Flow_for_End-to-End_Optimized_Video_Compression_CVPR_2020_paper.pdf)
* [PWC-Net](https://arxiv.org/abs/1709.02371)
* [RAFT](https://arxiv.org/abs/2003.12039)
## Video compression
* [DVC-Pro](https://ieeexplore.ieee.org/document/9072487)
* [M-LVC](https://arxiv.org/abs/2004.10290)
* [FVC](https://arxiv.org/abs/2105.09600)
* [DCVC](https://arxiv.org/abs/2109.15047)
* [NVC](https://arxiv.org/abs/2007.04574)
* [CANF-VC](https://arxiv.org/abs/2207.05315)
* [C2F video compression](https://arxiv.org/abs/2206.07460)
* [Alpha-VC](https://arxiv.org/abs/2207.14678)
* [Google VCT](https://arxiv.org/abs/2206.07307)
* [MIMT](https://openreview.net/forum?id=j9m-mVnndbm)
* [TCM](https://arxiv.org/abs/2111.13850)
* [Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compression](https://arxiv.org/pdf/2207.05894.pdf)