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differentiable_sorting. Differentiable bitonic sorting

BiLinearInterpolation. C++ BiLinearInterpolation class written for a rectangular image. Uses Eigen.

simple-amt. A microframework for working with Amazon's Mechanical Turk

kornia. 🐍 Geometric Computer Vision Library for Spatial AI

RefRESH. Create RefRESH data: dataset tools for Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation (ECCV 2018)

O-CNN. O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis

3D-CODED. Pytorch Implementation for the project : `3D-CODED` and `Learning Elementary Structure`

face3d. Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.

vid2vid. Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

TuSimple-DUC. Understanding Convolution for Semantic Segmentation

Pixel2Mesh. Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.

template_ffd. Code for paper "Learning Free-Form Deformations for 3D Object Reconstruction"

PU-Net. PU-Net: Point Cloud Upsampling Network, CVPR, 2018 (https://arxiv.org/abs/1801.06761)

cinolib. A generic programming header only C++ library for processing polygonal and polyhedral meshes

gptoolbox. Matlab toolbox for Geometry Processing.

cmr. Project repo for Learning Category-Specific Mesh Reconstruction from Image Collections

neural_renderer. A PyTorch port of the Neural 3D Mesh Renderer

chumpy. Python

gamehook. C++

superpoint_graph. Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

pygcn. Graph Convolutional Networks in PyTorch

as-rigid-as-possible-deformation. A python implementation of the As-Rigid-As-Possible paper by Ogla Sorkine and Marc Alexa.

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

autograd. Efficiently computes derivatives of NumPy code.

PyMesh. Geometry Processing Library for Python

gvnn. gvnn: Geometric Vision with Neural Networks

pytorch_fft. PyTorch wrapper for FFTs

GeoTopo. Corresponding topologically different 3D shapes

cupy. NumPy & SciPy for GPU

imgui. Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies

Manifold. Convert any Triangle Mesh to Watertight Manifold

pointnet-autoencoder. Autoencoder for Point Clouds

AtlasNet. This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.

gcn. Implementation of Graph Convolutional Networks in TensorFlow

tinyobjloader. Tiny but powerful single file wavefront obj loader

opendr. Python

neural_renderer. "Neural 3D Mesh Renderer" (CVPR 2018) by H. Kato, Y. Ushiku, and T. Harada.

Auto_Conditioned_RNN_motion. Implementation of Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis

g2o. g2o: A General Framework for Graph Optimization

limo. Lidar-Monocular Visual Odometry

tf_mesh_renderer. A differentiable, 3D mesh renderer using TensorFlow.

caffe64. No dependency caffe replacement

PatchMatch. GPU and CPU implementation of Patchmatch in Python!

cunn. Cuda

cutorch. A CUDA backend for Torch7

semantic-segmentation-pytorch. Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Detectron. FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

openMVG. open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

Open3D. Open3D: A Modern Library for 3D Data Processing

pytorch-semseg. Semantic Segmentation Architectures Implemented in PyTorch

awesome-semantic-segmentation. :metal: awesome-semantic-segmentation

3D-Machine-Learning. A resource repository for 3D machine learning

deformable-convolution-pytorch. PyTorch implementation of Deformable Convolution

Awesome-pytorch-list. A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Screenshot-to-code. A neural network that transforms a design mock-up into a static website.

PerceptualSimilarity. LPIPS metric. pip install lpips

pytorch-CycleGAN-and-pix2pix. Image-to-Image Translation in PyTorch

pointnet. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

pytorch-semantic-segmentation. PyTorch for Semantic Segmentation

IPPE. Infinitesimal Plane-based Pose Estimation (IPPE): A very fast method to compute a camera's pose from a view of a planar object

SDFGen. A simple commandline utility to generate grid-based signed distance field (level set) generator from triangle meshes, using code from Robert Bridson's website.

tucker3d. Python

tensorflow. An Open Source Machine Learning Framework for Everyone

3D-Caffe. C++

mxnet. Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

VNet. Python