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/>.
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Updated
Jun 8, 2017 - MATLAB
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/>.
Explore object recognition, segmentation, and how to process depth data from camera sensors to help a robot better understand and navigate its world.
Code for "Face Normals `in-the-wild' using Fully Convolutional Networks" (CVPR 17)
Estimate surface normals from a single image; 3-stack-hourglass Architecture using Tensorflow; Reduce the Mean Angle Error down to 0.4397164234
A MATLAB Implementation of the Basic Photometric Stereo Algorithm
Pixel Attentional Gating for Parsimonious Per-Pixel Labeling
Real-time Water Simulation with Surface Interpolation
A multimodal UAV assistant dataset.
SNE-RoadSeg for Freespace Detection in PyTorch, ECCV 2020
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
[ICCV 2021 Oral] Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
Surface Normals and Curvature Estimation for Noisy Point Cloud Data
Tools accompanying the 3D60 spherical panoramas dataset
[BMVC 2022] IronDepth: Iterative Refinement of Single-View Depth using Surface Normal and its Uncertainty
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
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
Estimating Ground Surface Normals and Fitting Surfaces to Noisy LIDAR Point Cloud Data
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