Authors' PyTorch implementation of lossy image compression methods that are based on hierarchical VAEs

The implementation for MLSys 2023 paper: "Cuttlefish: Low-rank Model Training without All The Tuning"

Pytorch implementation of the paper "The Devil Is in the Details: Window-based Attention for Image Compression".

NECPlus

[ECCV2022] Optimizing Image Compression via Joint Learning with Denoising

A PyTorch library and evaluation platform for end-to-end compression research

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression

Learned Image Compression Using Autoencoder Architecture

Official implementation of "Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform", ICCV 2021

PyTorch code for our paper "Attention in Attention Network for Image Super-Resolution"

Compressive Autoencoder.

Drift Detection for your PyTorch Models

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

Compute FID scores with PyTorch.

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

[CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".

[Preprint] "TransGAN: Two Transformers Can Make One Strong GAN", Yifan Jiang, Shiyu Chang, Zhangyang Wang

Class repo for COEN 281, Winter 2021

Hands-On Computer Vision with TensorFlow 2, published by Packt

A Pytorch Implementation of the following paper "Visual Transformers: Token-based Image Representation and Processing for Computer Vision"

Image-to-Image Translation in PyTorch