Implementation of Graph Convolutional Networks in TensorFlow

A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

The PyTorch implementation of LightGCN

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

Perception-aligned clip-art vectorization

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

PyTorch implementation of AnimeGANv2

3D stochastic fracture generation and statistics over fracture plane data.

A resource repository for 3D machine learning

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

🔗 Some useful websites for programmers.

🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey

Experiments for understanding disentanglement in VAE latent representations

[Open Source]. The improved version of AnimeGAN. Landscape photos/videos to anime

Generation of pseudo random numbers using middle square Weyl sequence

COLMAP - Structure-from-Motion and Multi-View Stereo

Neural Magic Eye: Learning to See and Understand the Scene Behind an Autostereogram, arXiv:2012.15692.

Code repository for "Free View Synthesis", ECCV 2020.

improves over nerf in 360 capture of unbounded scenes

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

This repository will provide tools and news about The OmniScape Dataset

Matlab/Octave Toolbox for Optical Design

generation of random rough discrete fracture network

Graph Convolutional Networks in PyTorch

BRDF Explorer

GF256 - Fast 8-bit Galois Field Math in C