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Found 6 papers, 4 papers with code
Hyper360 -- a Next Generation Toolset for Immersive Media
Spherical 360{\deg} video is a novel media format, rapidly becoming adopted in media production and consumption of immersive media.
Restyling Data: Application to Unsupervised Domain Adaptation
Machine learning is driven by data, yet while their availability is constantly increasing, training data require laborious, time consuming and error-prone labelling or ground truth acquisition, which in some cases is very difficult or even impossible.
Spherical View Synthesis for Self-Supervised 360 Depth Estimation
This has led to the utilization of view synthesis as an indirect objective for learning depth estimation using efficient data acquisition procedures.
$360^o$ Surface Regression with a Hyper-Sphere Loss
We present a dataset of $360^o$ images of indoor spaces with their corresponding ground truth surface normal, and train a deep convolutional neural network (CNN) on the task of monocular 360 surface estimation.
A Low-Cost, Flexible and Portable Volumetric Capturing System
Multi-view capture systems are complex systems to engineer.
OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas
Recent work on depth estimation up to now has only focused on projective images ignoring 360 content which is now increasingly and more easily produced.
Ranked #18 on
Depth Estimation
on Stanford2D3D Panoramic
