[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation
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Updated
Jul 10, 2024 - Jupyter Notebook
[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation
[ICCV 2021 Oral] Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
Stereo vision based object detection for ADAS, autonomous vehicle
[BMVC 2022] IronDepth: Iterative Refinement of Single-View Depth using Surface Normal and its Uncertainty
PyTorch implementation of cvpr2019 paper "Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres".
Given are two csv files, pc1.csv and pc2.csv, which contain noisy LIDAR point cloud data in the form of (x, y, z) coordinates of the ground plane. Find best surface fit
Representing optical components using object wavefronts
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