SNE-RoadSeg for Freespace Detection in PyTorch, ECCV 2020
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Updated
Jul 5, 2021 - Python
SNE-RoadSeg for Freespace Detection in PyTorch, ECCV 2020
[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
GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
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
Differentiable Point-based Inverse Rendering
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
Estimating Ground Surface Normals and Fitting Surfaces to Noisy LIDAR Point Cloud Data
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