[ICCV 2021 Oral] Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
[BMVC 2022] IronDepth: Iterative Refinement of Single-View Depth using Surface Normal and its Uncertainty
PyTorch implementation of cvpr2019 paper "Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres".
Given are two csv files, pc1.csv and pc2.csv, which contain noisy LIDAR point cloud data in the form of (x, y, z) coordinates of the ground plane. Find best surface fit
[WACV 2026] Code for "Towards Fast and Scalable Normal Integration using Continuous Components"
RPCA 기반 Robust Photometric Stereo 및 Surface Normal 추정 (GIST EC4216 Assignment 1)
Representing optical components using object wavefronts
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