Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)
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Updated
Sep 30, 2021 - Python
Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)
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
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)
[CVPR 2020] Normal Assisted Stereo Depth Estimation
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
nyuv2 toolbox for data extraction and loading.
Facial Depth and Normal Estimation using Dual-Pixel Camera (ECCV 22)
Official GitHub repo for VecKM. A very efficient and descriptive local geometry encoder / point tokenizer / patch embedder. ICML2024.
CVPR 2024: Robust Depth Enhancement via Polarization Prompt Fusion Tuning
Reconstruct mesh from point cloud data generated by 3D scanner
(BMVC 2020 Oral) Neighbourhood-Insensitive Point Cloud Normal Estimation Network
Efficient Point Cloud Upsampling and Normal Estimation using Deep Learning for Robust Surface Reconstruction
Comparison of a few different methods for estimating surface normals in a point cloud.
MSCV 2019 Capstone Project
Code for our Building Facades to Normal Maps – Adversarial Learning from Single View Images work accepted at CRV 2021
tcensReg is a package written to obtain maximum likelihood estimates from a truncated normal distribution with censoring.
Normal estimation based on dual camera input
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