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prmlt

Matlab code for algorithms in PRML book

probabilistic-unet-pytorch

A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch

probabilistic_unet

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

psa

This is an official implementation of "Polarized Self-Attention: Towards High-quality Pixel-wise Regression"

pytorch-boat

This is an unofficial implementation of BOAT: Bilateral Local Attention Vision Transformer

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet)

pytorch-dpn-pretrained

Dual Path Networks (DPN) supporting pretrained weights converted from original MXNet implementation

pytorch-grad-norm

Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning adjustable weight coefficients.

pytorch-i-revnet

i-RevNet Pytorch Code

pytorch-spectral-normalization-gan

Paper by Miyato et al. https://openreview.net/forum?id=B1QRgziT-

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pzres-net

Source Codes of the paper " Hyperspectral Image Super-resolution via Deep Progressive Zero-centric Residual Learning"

r-drop

realblur

Repository for Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms

recorrupted-to-recorrupted-unsupervised-deep-learning-for-image-denoising

regularized_autoencoders-rae-

reproducible-image-denoising-state-of-the-art

Collection of popular and reproducible image denoising works.

restormer

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

revnet-public

Code for "The Reversible Residual Network: Backpropagation Without Storing Activations"

rlanet

Deep Networks with Recurrent Layer Aggregation

robust-differentiable-svd

sar-despeckling

satellite-pixel-synthesis-pytorch

PyTorch implementation of NeurIPS 2021 paper "Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis"

self-adaptive-training

Official implementation of the NeurIPS'2020 paper 'Self-Adaptive Training: beyond Empirical Risk Minimization'

selfexsr

Single Image Super-Resolution from Transformed Self-Exemplars (CVPR 2015)

sfm

(ECCV 2020) Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks

singan

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

single-image-super-resolution

A collection of high-impact and state-of-the-art SR methods

soft

SOFT: Softmax-free Transformer with Linear Complexity, NeurIPS 2021 Spotlight

spatial-transformer-network

A Tensorflow Implementation of Spatial Transformer Networks