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COLMAP-CL: An OpenCL implementation of COLMAP photogrammetry
A procedural Blender pipeline for photorealistic training image generation
🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.
This repository will contain the note and code solotuion for the course Deep Learning for Computer Vision (EECS 498/598) offered by University of Michigan (by Prof.Justin Johnson)
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
🐍 Geometric Computer Vision Library for Spatial AI
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching using pytorch-lightning
MVSNet: Depth Inference for Unstructured Multi-view Stereo using pytorch-lightning
The official repository of the paper "Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking" (ECCV2020 Spotlight)
(CVPR 2022) TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers.
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet
BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks
Implementation of Simple Harris Corner Detection Algorithm in Python
GL3D (Geometric Learning with 3D Reconstruction): a large-scale database created for 3D reconstruction and geometry-related learning problems
Matchable Image Retrieval by Learning from Surface Reconstruction
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
🛠 Toolbox to extend PyTorch functionalities
A curated list of papers & resources linked to 3D reconstruction from images.
List of projects for 3d reconstruction
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.
Count the MACs / FLOPs of your PyTorch model.
A library for efficient similarity search and clustering of dense vectors.