Popular GitHub Repositories for Denoising Autoencoders

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

A Collection of Variational Autoencoders (VAE) in PyTorch.

SwinIR: Image Restoration Using Swin Transformer (official repository)

[CVPR2020] Adversarial Latent Autoencoders

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

MuseV: Infinite-length and High Fidelity Virtual Human Video Generation with Visual Conditioned Parallel Denoising

The state-of-the-art image restoration model without nonlinear activation functions.

[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

Collection of popular and reproducible image denoising works.

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

Awesome GAN for Medical Imaging

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

Audio generation using diffusion models, in PyTorch.

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics

Deep learning for recommender systems

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

VRT: A Video Restoration Transformer (official repository)

A Collection of Papers and Codes for CVPR2025/CVPR2024/CVPR2021/CVPR2020 Low Level Vision