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360 Surface Regression with a Hyper-Sphere Loss

Surface Regression Conference Project Page

IMPORTANT An updated dataset is now available which fixes a critical issue with 3D60, the lighting bias introduced by the light source placed at the origin. More information can be found at the Pano3D project page.

About

Code accompanying the paper "360 Surface Regression with a Hyper-Sphere Loss", 3DV 2019

vcl3d.github.io/HyperSphereSurfaceRegression

Topics

python deep-neural-networks deep-learning cnn pytorch quaternion 360 omnidirectional spherical-panoramas hypersphere surface-normals indoor-scenes matterport3d-dataset matterport

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Aug 29, 2019

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