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A PyTorch library and evaluation platform for end-to-end compression research
PyTorch implementation of the TIP2017 paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"
Source code of AAAI 2022 paper "Towards End-to-End Image Compression and Analysis with Transformers".
Source code of CVPR 2021 paper "Learning Scalable ℓ∞-constrained Near-lossless Image Compression via Joint Lossy Image and Residual Compression".
Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression (TPAMI'24, Journal Extension of our CVPR'21 work)