[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation

[Official Code] Pixel3DMM: Versatile Screen-Space Priors for Single-Image 3D Face Reconstruction

SNE-RoadSeg for Freespace Detection in PyTorch, ECCV 2020

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

[ICLR2025] GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models

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/>.

[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

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

Differentiable Point-based Inverse Rendering [CVPR2024]

Term project. A python 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)

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

Surface Normals and Curvature Estimation for Noisy Point Cloud Data

No description provided.

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

[WACV 2026] Code for "Towards Fast and Scalable Normal Integration using Continuous Components"

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

This repository contains a C implementation of a 3D spinning donut animation, along with a Python version and an optimized version of the same. The animation is rendered in the terminal using ASCII characters, creating a visually appealing spinning donut effect. The C program has been simplified to its core components to make it easier to understan

A reproducible, geometry-based pipeline that converts floating-point depth maps into per-pixel surface normal maps, then evaluates them against ground-truth normals.

Real-time Water Simulation with Surface Interpolation

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

Transform 2D art into immersive 3D reliefs with AI. Featuring Marigold depth estimation, Three.js rendering, and universal 3D exports for AR/VR.

A Repository for Understanding the Concepts of Photometric Stereo In Depth