Differentiable Point-based Inverse Rendering
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Updated
Jun 3, 2024 - Python
Differentiable Point-based Inverse Rendering
[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation
GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
Estimating Ground Surface Normals and Fitting Surfaces to Noisy LIDAR Point Cloud Data
Official code for FOUND: Foot Optimisation with Uncertain Normals for Surface Deformation using Synthetic Data
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
[BMVC 2022] IronDepth: Iterative Refinement of Single-View Depth using Surface Normal and its Uncertainty
Tools accompanying the 3D60 spherical panoramas dataset
Surface Normals and Curvature Estimation for Noisy Point Cloud Data
[ICCV 2021 Oral] Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
Term project. A python implementation of the Basic Photometric Stereo Algorithm
Code accompanying the paper "360 Surface Regression with a Hyper-Sphere Loss", 3DV 2019
Normal Inference Module in PyTorch, IROS 2020
SNE-RoadSeg for Freespace Detection in PyTorch, ECCV 2020
A multimodal UAV assistant dataset.
Real-time Water Simulation with Surface Interpolation
Pixel Attentional Gating for Parsimonious Per-Pixel Labeling
A MATLAB Implementation of the Basic Photometric Stereo Algorithm
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