A curated list of image inpainting and video inpainting papers and resources

Code for our CVPR 2020 work.

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

Please choose the openseg.pytorch project for the updated code that achieve SOTA on 6 benchmarks!

The Pytorch implementation of "Location-aware Upsampling for Semantic Segmentation" (LaU)

深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

Convolutional Neural Networks to predict the aesthetic and technical quality of images.

Paper and implementation of UNet-related model.

NVIDIA Deep learning Dataset Synthesizer (NDDS)

mIOU=80.12 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).

Deepfakes Software For All

TensorFlow model for training AdapNet++ for semantic segmentation

ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes

Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection

Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation

Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

PyTorch implementations of Generative Adversarial Networks.

Image-to-Image Translation in PyTorch

The classical paper list with code about generative adversarial nets

Antialiasing cnns to improve stability and accuracy. In ICML 2019.

Object detection, 3D detection, and pose estimation using center point detection:

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).

A PyTorch re-implement of CVPR 2018 LAB(Look At Bounday) --Champagne Jin