Surface Normals and Curvature Estimation for Noisy Point Cloud Data

Graphical Programming with ThreeJS - main classes for graphics pipeline, computer graphics techniques: geometry and normals calculation for complex models, lighting and shadows, runtime UV coordinates, bump mapping, surface smoothing, UI, skybox, reflections, finite state machine, aabb colliders, particles system

Real-time Water Simulation with Surface Interpolation

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

WebGL app using ThreeJS to explore computer graphics techniques: geometry and normals calculation for complex models, lighting and shadows, runtime UV coordinates, bump mapping, surface smoothing, UI, skybox, reflections, finite state machine, aabb colliders, particles system

A multimodal UAV assistant dataset.

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

Normal Inference Module in PyTorch, IROS 2020

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

Differentiable Point-based Inverse Rendering

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

Explore object recognition, segmentation, and how to process depth data from camera sensors to help a robot better understand and navigate its world.

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

Pixel Attentional Gating for Parsimonious Per-Pixel Labeling

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

Code for "Face Normals `in-the-wild' using Fully Convolutional Networks" (CVPR 17)

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

Tools accompanying the 3D60 spherical panoramas dataset

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