SNE-RoadSeg for Freespace Detection in PyTorch, ECCV 2020

The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

(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

Tools accompanying the 3D60 spherical panoramas dataset

A MATLAB Implementation of the Basic Photometric Stereo Algorithm

Pixel Attentional Gating for Parsimonious Per-Pixel Labeling

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

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

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

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

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

Normal Inference Module in PyTorch, IROS 2020

A multimodal UAV assistant dataset.

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

Real-time Water Simulation with Surface Interpolation

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

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