angshine

pyslam

Non-linear least-squares SLAM in Python using scipy and numpy. Modelled after Google's Ceres solver. Supporting automatic differentiation with pytorch. (built upon https://github.com/utiasSTARS/pyslam)

SuperPoint

Efficient neural feature detector and descriptor

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

image-matching-benchmark

Public release of the Image Matching Benchmark: https://image-matching-challenge.github.io

LoFTR

SfM-oriented LoFTR.

nerf_pl

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

stylegan3

Official PyTorch implementation of StyleGAN3

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

automatic-integration

Official repo for AutoInt: Automatic Integration for Fast Neural Volume Rendering in CVPR 2021

awesome-local-global-descriptor

My personal note about local and global descriptor

differentiable_volumetric_rendering

This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"

DTUeval-python

A fast python implementation of DTU MVS 2014 evaluation

python-blosc2

fvcore

Collection of common code that's shared among different research projects in FAIR computer vision team.

Key.Net

Code for the ICCV19 paper Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters

KP2D

mipnerf

over9000

Over9000 optimizer

pytorch-caffe

load caffe prototxt and weights directly in pytorch

pytorch-CycleGAN-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

pytorch_spline_conv

Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch

torchinfo

View model summaries in PyTorch!

website