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pgcn

Graph Convolutional Networks for Temporal Action Localization (ICCV2019)

pisr

An official implementation of "Learning with Privileged Information for Efficient Image Super-Resolution" (ECCV2020) in PyTorch.

plot-pictures-tutorial-for-paper

pmbanet_dsr

point-transformer

This is an unofficial implementation of the Point Transformer paper.

pspl

The implementation of ICASSP 2020 paper "Pixel-level self-paced learning for super-resolution"

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-self-distillation

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

qrnn3d

3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising (TNNLS 2020)

raar3dnet

rethinking-inpainting-medfe

Rethinking Image Inpainting via a Mutual Encoder Decoder with Feature Equalizations. ECCV 2020 Oral

rvc_devkit

Robust Vision Challenge Devkits; Stable releases are in this branch: https://github.com/ozendelait/rvc_devkit/tree/release

saic_depth_completion

Official implementation of "Decoder Modulation for Indoor Depth Completion" https://arxiv.org/abs/2005.08607

san

Second-order Attention Network for Single Image Super-resolution (CVPR-2019)

seasondepth

sesf-fuse

SESF-Fuse: An Unsupervised Deep Model for Multi-Focus Image Fusion

sgas

SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas

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

snas-series

This repo contains the PyTorch implementation of the SNAS-Series papers

softmax-splatting

an implementation of softmax splatting for differentiable forward warping using PyTorch

sparse-depth-completion

Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. Ranked 1st place on KITTI. (MVA 2019 Conference)

sr_mobile_quantization

Winner solution of mobile AI (CVPRW 2021).

srfbn_cvpr19

Pytorch code for our paper "Feedback Network for Image Super-Resolution" (CVPR2019)

st-clstm

Code of paper: Exploiting temporal consistency for real-time video depth estimation (ICCV 2019)

starnet

Official Implementation of Space-Time-Aware Multi-Resolution Video Enhancement (CVPR2020) using PyTorch

starter-hugo-academic

stpan

structure-guided-ranking-loss

Structure-Guided Ranking Loss for Single Image Depth Prediction