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3dmatch-toolbox

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

3dsegmentation

Incremental instance-level 3D segmentation performed by fusing geometric and deep-learning cues in C++

3dv_tutorial

An Invitation to 3D Vision: A Tutorial for Everyone

4d-cbct

A deep convolutional neural network (based on the 'U-Net') to enhance the image quality of 4-D Cone Beam CT

academic-project-page-template

A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/

add_noise_to_point_cloud

Add noise to the color or coordinates of the point cloud.

adversarialtexture

Adversarial Texture Optimization from RGB-D Scans (CVPR 2020).

alicevision

Photogrammetric Computer Vision Framework

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-neural-rendering

A collection of resources on neural rendering.

badslam

Bundle Adjusted Direct RGB-D SLAM

bundlefusion_ubuntu_v0

This is BundleFusion for Ubuntu version

co-fusion

Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects

cocolour

C++ program for global optimization on the color consistency of multiple images

coex

colmap

COLMAP - Structure-from-Motion and Multi-View Stereo

cpf_segmentation

Constrained Plane Fitting library for unsupervised segmentation of 3D point clouds

cpf_segmentation_ros

ROS node for unsupervised segmentation of 3D points via Constrained Plane Fitting. Needs cpf_segmentation.

ct-recon

Tools for X-ray CT reconstruction

cube_slam

CubeSLAM: Monocular 3D Object Detection and SLAM

cufusion

daisyfilterflow_cvpr2014

This repo contains the main code of daisy filter flow which is published in CVPR 2014.

dbow2

Enhanced hierarchical bag-of-word library for C++

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deep_marching_cubes

Code for "Deep Marching Cubes: Learning Explicit Surface Representations", CVPR 2018

deep_vision_report

deepqa-modified

Official inference code of CVPR2021 paper "Deep Learning-based Distortion Sensitivity Prediction for Full-Reference Image Quality Assessment"

demo_rgbd

Depth Enhanced Monocular Odometry (RGBD camera version)

depth-image-quality-enhancement

depthsrfromshading

This code implements the approach for the following research paper: Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading; B. Haefner, Y. Quéau, T. Möllenhoff, D. Cremers; Computer Vision and Pattern Recognition (CVPR), 2018.