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
Facial Depth and Normal Estimation using Dual-Pixel Camera (ECCV 22)
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.
CVPR 2024: Robust Depth Enhancement via Polarization Prompt Fusion Tuning
(BMVC 2020 Oral) Neighbourhood-Insensitive Point Cloud Normal Estimation Network
Efficient Point Cloud Upsampling and Normal Estimation using Deep Learning for Robust Surface Reconstruction
MSCV 2019 Capstone Project
Code for our Building Facades to Normal Maps – Adversarial Learning from Single View Images work accepted at CRV 2021
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