Code for our Building Facades to Normal Maps – Adversarial Learning from Single View Images work accepted at CRV 2021
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Updated
Dec 13, 2021 - Python
Code for our Building Facades to Normal Maps – Adversarial Learning from Single View Images work accepted at CRV 2021
MSCV 2019 Capstone Project
Efficient Point Cloud Upsampling and Normal Estimation using Deep Learning for Robust Surface Reconstruction
(BMVC 2020 Oral) Neighbourhood-Insensitive Point Cloud Normal Estimation Network
CVPR 2024: Robust Depth Enhancement via Polarization Prompt Fusion Tuning
Official GitHub repo for VecKM. A very efficient and descriptive local geometry encoder / point tokenizer / patch embedder. ICML2024.
nyuv2 toolbox for data extraction and loading.
Facial Depth and Normal Estimation using Dual-Pixel Camera (ECCV 22)
[CVPR 2020] Normal Assisted Stereo Depth Estimation
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)
FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image
SharpNet: Fast and Accurate Recovery of Occluding Contours in Monocular Depth Estimation
Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)
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