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3dfeatnet

3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration

bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

cppcoreguidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

data-efficient-gans

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

dfusmc

Depth from Uncalibrated Small Motion Clip

fastglobalregistration

Fast Global Registration

fcgf

Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.

librealsense

Intel® RealSense™ SDK

open3d

Open3D: A Modern Library for 3D Data Processing

photo_consistency

Efficient and Robust Color Consistency for Community Photo Collections

pybind11

Seamless operability between C++11 and Python

pytorch-studiogan

StudioGAN is a Pytorch library providing the implementation of representative Generative Adversarial Networks (GANs) for conditional/unconditional image synthesis.

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

snapnet

SnapNet for Semantic3D dataset

syncle.github.io

source code for my homepage

tangent_conv

Tangent Convolutions for Dense Prediction in 3D

tanksandtemples

Toolbox for the TanksAndTemples benchmark website

travis_ci