A list of image/video coding approaches and the summary of some available codes or projects, maintained by: [Lijun Zhao]. If your paper or summary about Image and Video Compression [this topic] is not listed among them, please contact us(email: leejun@tyust.edu.cn).
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Image-compression-and-video-coding （maintained by Sifeng Xia, Yueyue Hu, Wenhan Yang, Dezhao Wang, Yuzhang Hu） [Paper Summary]
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Deep Learning Based Image and Video Compression （maintained by Dong Liu） [Paper Summary]
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CVPR CLIC 2018 and CVPR CLIC 2019 （maintained by [Lijun Zhao]）[Paper Summary]
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A Compression Objective and a Cycle Loss for Neural Image Compression [PDF]
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A Better Color Space Conversion Based on Learned Variances For Image Compression [PDF]
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A Hybrid Approach Between Adversarial Generative Networks and Actor-Critic Policy Gradient for Low Rate High-Resolution Image Compression [PDF]
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Efficient Learning Based Sub-pixel Image Compression [PDF]
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Attention Based Image Compression Post-Processing Convolutional Neural Network [PDF]
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End-to-end Optimized Image Compression with Attention Mechanism [PDF]
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Practical Stacked Non-local Attention Modules for Image Compression [PDF]
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Compressing Weight-updates for Image Artifacts Removal Neural Networks [PDF]
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Compressing Weight-updates for Image Artifacts Removal Neural Networks [PDF]
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Learned Prior Information for Image Compression [PDF]
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Deep Residual Learning for Image Compression [PDF]
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Decoder Side Color Image Quality Enhancement using a Wavelet Transform based 3-stage Convolutional Neural Network [PDF]
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Extended End-to-End optimized Image Compression Method based on a Context-Adaptive Entropy Model [PDF]
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Learning-Based Image Compression using Convolutional Autoencoder and Wavelet Decomposition [PDF]
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Learned Image Compression with Residual Coding [PDF]
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Learning Patterns of Latent Residual for Improving Video Compression [PDF]
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Learned Image Restoration for VVC Intra Coding [PDF]
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Multi-scale and Context-adaptive Entropy Model for Image Compression [PDF]
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Practical Stacked Non-local Attention Modules for Image Compression [PDF]
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RDO-based Secondary Prediction Scheme for Image Compression [PDF]
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Variational Autoencoder Based Image Compression with Pyramidal Features and Context Entropy Model [PDF]
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VimicroABCnet: An Image Coder Combining A Better Color Space Conversion Algorithm and A Post Enhancing Network [PDF]
CVPR 2018 Workshop and Challenge on Learned Image Compression [Web]
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An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU [PDF]
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Autoencoders with Variable Sized Latent Vector for Image Compression [PDF]
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An Implementation of Picture Compression with A CNN-based Auto-encoder [PDF]
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Block-optimized Variable Bit Rate Neural Image Compression [PDF]
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BlockCNN: A Deep Network for Artifact Removal and Image Compression [PDF]
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CNN-Optimized Image Compression with Uncertainty based Resource Allocation [PDF]
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Compression artifact removal using multi-scale reshuffling convolutional network [PDF]
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Combine Traditional Compression MethodWith Convolutional Neural Networks [PDF]
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Deep Image Compression via End-to-End Learning [PDF]
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Decoder Side Image Quality Enhancement exploiting Inter-channel Correlation in a 3-stage CNN: Submission to CLIC 2018 [PDF]
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Extreme Learned Image Compression with GANs [PDF]
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Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms [PDF]
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Image compression with xvc [PDF]
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Joint denoising and decompression using CNN regularization [PDF]
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Learned Compression Artifact Removal by Deep Residual Networks [PDF]
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Learning Compressible 360? Video Isomers [PDF]
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Perceptually optimized low bit-rate image encoding [PDF]
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Performance Comparison of Convolutional AutoEncoders, Generative Adversarial Networks and Super-Resolution for Image Compression [PDF]
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Variational Autoencoder for Low Bit-rate Image Compression [PDF]
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Wide-activated Deep Residual Networks based Restoration for BPG-compressed Images [PDF]
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YASO [PDF]