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3d-coded

Pytorch Implementation for the project : `3D-CODED` and `Learning Elementary Structure`

3d-com-mpc

Multi-contact predictive control over 3D COM accelerations

4d_association

code for cvpr2020 "4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras"

4d_segmentation

4dassociation_dataset

dataset for cvpr2020 "4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras"

alphapose

Real-Time Multi-Person Pose Estimation System

amass

Data preparation and loader for AMASS

atom

:atom: The hackable text editor

automatic-unpaired-shape-deformation-transfer

SIGGRAPH ASIA 2018

awesome

😎 Awesome lists about all kinds of interesting topics

awesome-cvpr-paper

CVPR 论文收集，包含但不限于2020、2019、2018、2017文章

awesome-dynamic-slam

Awesome Dynamic SLAM

awesome-human-pose-estimation

Human Pose Estimation Related Publication

awesome_3dreconstruction_list

A curated list of papers & resources linked to 3D reconstruction from images.

azure-kinect-sensor-sdk

A cross platform (Linux and Windows) user mode SDK to read data from your Azure Kinect device.

azure_kinect_ros_driver

A ROS sensor driver for the Azure Kinect Developer Kit.

bcpd

Bayesian coherent point drift for Windows 10

bodynet

BodyNet: Volumetric Inference of 3D Human Body Shapes, ECCV 2018

bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

bulrush

A Bulma-based Pelican blog theme; clean, flexible and responsive.

bundlefusion

BundleFusion: Real-time Globally Consistent 3D Reconstruction using Online Surface Re-integration

caffe-posenet

Implementation of PoseNet

caffe-segnet

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

camstyle

Camera Style Adaptation for Person Re-identification CVPR 2018

cdcpd

Library for Constrained Deformable Coherent Point Drift

clf_reactive_planning_system

This package provides a CLF-based reactive planning system, described in paper: Efficient Anytime CLF Reactive Planning System for a Bipedal Robot on Undulating Terrain. The reactive planning system consists of a 5-Hz planning thread to guide a robot to a distant goal and a 300-Hz Control-Lyapunov-Function-based (CLF-based) reactive thread to cope

co-fusion

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

cob_object_perception

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE