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noah-research

Noah Research

odc_public

Addon for Blender meant to streamline dental CAD and design workflows

ortogonblender

Addon para o planejamento de cirurgia ortognática digital

pncnn

The official PyTorch implementation for "Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End"

pointernet_chinese_information_extraction

利用指针网络进行信息抽取，包含命名实体识别、关系抽取、事件抽取。

pointmvsnet

Code for "Point-based Multi-view Stereo Network" (ICCV 2019 Oral) & "Visibility-aware Point-based Multi-view Stereo Network" (TPAMI)

pwc-net

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

pytorch-deform-conv

PyTorch implementation of Deformable Convolution

pytorch-deform-conv-v2

PyTorch implementation of Deformable ConvNets v2 (Modulated Deformable Convolution)

pytorch-inpainting-with-partial-conv

Unofficial pytorch implementation of 'Image Inpainting for Irregular Holes Using Partial Convolutions' [Liu+, ECCV2018]

r-centernet

detector for rotated-object based on CenterNet/基于CenterNet的旋转目标检测

real-time-self-adaptive-deep-stereo

Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)

real-time-stereo

Real Time Stereo code repository

retinexnet

A Tensorflow implementation of RetinexNet

rmvsnet-pytorch

rotated-retinanet

Rotation RetinaNet for arbitrary-oriented object detection.

scvnet

Sparse Cost Volume for Efficient Stereo Matching

self-driving-car-sim

A self-driving car simulator built with Unity

self-supervised-depth-completion

ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"

sgm

Semi-Global Matching on the GPU

sgm-1

CPU & GPU Implementation of SGM(semi-global matching)

slstudio

SLStudio -- Real Time Structured Light. A comprehensive software suite for capturing and reconstructing 3D scenes with a camera-projector pair.

sparse-depth-completion

Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. 1st place on KITTI.

sparsity-invariant-cnns-pytorch

Reproduced codes for paper “Sparsity Invariant CNNs”

spatialaffinitynetwork

PyTorch Implementation of the paper Learning Affinity via Spatial Propagation Networks

stereodataset

An indoor real scene stereo dataset. It contains 2000 pairs of images with high accuracy disparity maps. We hope it can improve the the generalization performance of deep stereo matching networks.

stereovision-adcensus

structured_light

3d reconstruction using three step phase shift

synthetic-computer-vision

A list of synthetic dataset and tools for computer vision

unprocessing