Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)

[CVPR 2020] Normal Assisted Stereo Depth Estimation

SharpNet: Fast and Accurate Recovery of Occluding Contours in Monocular Depth Estimation

FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image

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 Development Toolkit

Facial Depth and Normal Estimation using Dual-Pixel Camera (ECCV 22)

(BMVC 2020 Oral) Neighbourhood-Insensitive Point Cloud Normal Estimation Network

nyuv2 toolbox for data extraction and loading.

Official GitHub repo for VecKM. A very efficient and descriptive local geometry encoder / point tokenizer / patch embedder. ICML2024.

Efficient Point Cloud Upsampling and Normal Estimation using Deep Learning for Robust Surface Reconstruction

Normal estimation based on dual camera input

Code for our Building Facades to Normal Maps – Adversarial Learning from Single View Images work accepted at CRV 2021

MSCV 2019 Capstone Project

Reconstruct mesh from point cloud data generated by 3D scanner

Comparison of a few different methods for estimating surface normals in a point cloud.

tcensReg is a package written to obtain maximum likelihood estimates from a truncated normal distribution with censoring.

CVPR 2024: Robust Depth Enhancement via Polarization Prompt Fusion Tuning