A curated list of awesome computer vision resources

A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).

A tool to transfer Perspective between Equirectangular

Python implementation of convertion between equirectangular, cubemap and perspective. (equirect2cube, cube2equirect, equirect2perspec)

A collection of openFrameworks apps for working with machine learning

CGAL bindings using SWIG

A resource repository for 3D machine learning

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

A set of Python utilities for rendering 3D meshes with OpenGL

The code for paper "Learning Implicit Fields for Generative Shape Modeling".

DeepLab v3+ model in PyTorch. Support different backbones.

open Multi-View Stereo reconstruction library

Marching cubes (and related tools) for Python

DeepLab-ResNet rebuilt in TensorFlow

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

MVSNet: Depth Inference for Unstructured Multi-view Stereo (ECCV2018, Oral Presentaion)

DeepLab resnet v2 model in pytorch

Graph Convolutional Networks in PyTorch

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Autoencoder for Point Clouds

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

Scripts for batch rendering models using Blender. Tested with models from stanfords shapenet library.

A series of Docker images (and their generator) that allows you to quickly set up your deep learning research environment.

Models and examples built with TensorFlow

Pytorch Optimizer for Simulated Annealing

Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.

JavaScript 3D library.