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Found 7 papers, 5 papers with code
Hybrid Skip: A Biologically Inspired Skip Connection for the UNet Architecture
In this work we introduce a biologically inspired long-range skip connection for the UNet architecture that relies on the perceptual illusion of hybrid images, being images that simultaneously encode two images.
Monocular Spherical Depth Estimation with Explicitly Connected Weak Layout Cues
Spherical cameras capture scenes in a holistic manner and have been used for room layout estimation.
A benchmark with decomposed distribution shifts for 360 monocular depth estimation
In this work we contribute a distribution shift benchmark for a computer vision task; monocular depth estimation.
Pano3D: A Holistic Benchmark and a Solid Baseline for $360^o$ Depth Estimation
Pano3D is a new benchmark for depth estimation from spherical panoramas.
Single-Shot Cuboids: Geodesics-based End-to-end Manhattan Aligned Layout Estimation from Spherical Panoramas
In this work we show how to estimate full room layouts in a single-shot, eliminating the need for postprocessing.
Deep Lighting Environment Map Estimation from Spherical Panoramas
We approach this problem differently, exploiting the availability of surface geometry to employ image-based relighting as a data generator and supervision mechanism.
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.
