The GitHub repository for the paper "Informer" accepted by AAAI 2021.

Implementation of Sparsemax activation in Pytorch

Sparse and structured neural attention mechanisms

[TPAMI 2020] Parallax Attention for Unsupervised Stereo Correspondence Learning

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

Implementation of the MILP-based grid-layout generation algorithm

StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth prediction model in pytorch. ECCV2018

Dense Matching Benchmark

Object-Contextual Representations for Semantic Segmentation in PyTorch

The official Pytorch implementation of OCNet, OCRNet, and SegFix.

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

Implementation of Non-local Block.

[CVPR 2019] Learning Parallax Attention for Stereo Image Super-Resolution

PyTorch implementation of SENet

Group-wise Correlation Stereo Network, CVPR 2019

Official Pytorch implementation of "StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching" (CVPR'20)

GA-Net: Guided Aggregation Net for End-to-end Stereo Matching

Unsupervised single image depth prediction with CNNs

Domain-invariant Stereo Matching Networks

LayoutGAN-Tensorflow

Deep Material-aware Cross-spectral Stereo Matching (CVPR 2018)

Metric/Embedding learning using (convolutional) neural network with application to keypoint matching, stereo matching, image retrival, etc

gc-net for stereo matching by using pytorch

[CVPR'20] AANet: Adaptive Aggregation Network for Efficient Stereo Matching

Siamese stereo matching CNN for 3D reconstruction

CVPR 2019 - Guided Stereo Matching

Hierarchical Deep Stereo Matching on High Resolution Images, CVPR 2019.

Implementation of LayoutGAN https://arxiv.org/abs/1901.06767