normal-estimation
There are 19 repositories under normal-estimation topic.
Yochengliu/Relation-Shape-CNN
Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)
MichaelRamamonjisoa/SharpNet
SharpNet: Fast and Accurate Recovery of Occluding Contours in Monocular Depth Estimation
hjwdzh/FrameNet
FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image
Yochengliu/DensePoint
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)
udaykusupati/Normal-Assisted-Stereo
[CVPR 2020] Normal Assisted Stereo Depth Estimation
tiev-tongji/RingFalsNormal
A novel fast approximate least squares normal estimator using the structural information of certain LiDAR, is fast and accurate compared to PCL, and meets the real-time requirements of the LIO system.
diode-dataset/diode-devkit
DIODE Development Toolkit
MinJunKang/DualPixelFace
Facial Depth and Normal Estimation using Dual-Pixel Camera (ECCV 22)
VainF/nyuv2-python-toolkit
nyuv2 toolbox for data extraction and loading.
dhyuan99/VecKM
Official GitHub repo for VecKM. A very efficient and descriptive local geometry encoder / point tokenizer / patch embedder. ICML2024.
Chen-Si-An/Mesh-Reconstruction
Reconstruct mesh from point cloud data generated by 3D scanner
ActiveVisionLab/NINormal
(BMVC 2020 Oral) Neighbourhood-Insensitive Point Cloud Normal Estimation Network
rjtshrm/point-normals-upsampling
Efficient Point Cloud Upsampling and Normal Estimation using Deep Learning for Robust Surface Reconstruction
lastbasket/Polarization-Prompt-Fusion-Tuning
CVPR 2024: Robust Depth Enhancement via Polarization Prompt Fusion Tuning
akapet00/normal-estimation
Comparison of a few different methods for estimating surface normals in a point cloud.
lucinezhang/Deep-Slope-Estimation
MSCV 2019 Capstone Project
mukulkhanna/BF2NormalNet
Code for our Building Facades to Normal Maps – Adversarial Learning from Single View Images work accepted at CRV 2021
williazo/tcensReg
tcensReg is a package written to obtain maximum likelihood estimates from a truncated normal distribution with censoring.
alexjercan/normals-estimation
Normal estimation based on dual camera input