Estimating Ground Surface Normals and Fitting Surfaces to Noisy LIDAR Point Cloud Data

Surface Normals and Curvature Estimation for Noisy Point Cloud Data

Estimate surface normals from a single image; 3-stack-hourglass Architecture using Tensorflow; Reduce the Mean Angle Error down to 0.4397164234

A multimodal UAV assistant dataset.

Normal Inference Module in PyTorch, IROS 2020

Code accompanying the paper "360 Surface Regression with a Hyper-Sphere Loss", 3DV 2019

Term project. A python implementation of the Basic Photometric Stereo Algorithm

Differentiable Point-based Inverse Rendering

Official code for FOUND: Foot Optimisation with Uncertain Normals for Surface Deformation using Synthetic Data

Tools accompanying the 3D60 spherical panoramas dataset

GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models

[BMVC 2022] IronDepth: Iterative Refinement of Single-View Depth using Surface Normal and its Uncertainty

[ICCV 2021 Oral] Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation

SNE-RoadSeg for Freespace Detection in PyTorch, ECCV 2020