Achieving an immersive experience enabling users to explore virtual environments with six
degrees of freedom (6DoF) is essential for various applications such as virtual reality (VR) …

We present a novel holistic deep-learning approach for multi-task learning from a single
indoor panoramic image. Our framework named MultiPanoWise extends vision transformers …

Panoramic imaging research on geometry recovery and High Dynamic Range (HDR)
reconstruction becomes a trend with the development of Extended Reality (XR). Neural …

Abstract 360 depth estimation has recently received great attention for 3D reconstruction
owing to its omnidirectional field of view (FoV). Recent approaches are predominantly …

Depth estimation from single perspective image has received significant attention in the past
decade whereas the same task applied to single panoramic image remains comparatively …

Disconnectivity and distortion are the two problems which must be coped with when
processing 360 degrees equirectangular images. In this paper we propose a method of …

360° images, with a field-of-view (FoV) of 180^∘*360^∘, provide immersive and realistic
environments for emerging virtual reality (VR) applications, such as virtual tourism, where …

To predict high-resolution (HR) omnidirectional depth maps, existing methods typically
leverage HR omnidirectional image (ODI) as the input via fully-supervised learning …

Accurately estimating depth in 360-degree imagery is crucial for virtual reality, autonomous
navigation, and immersive media applications. Existing depth estimation methods designed …

Panoramic distortion poses a significant challenge in 360 depth estimation, particularly
pronounced at the north and south poles. Existing methods either adopt a bi-projection …