Abstract Generative models eg Stable Diffusion have enabled the creation of photorealistic
images from text prompts. Yet the generation of 360-degree panorama images from text …

Panorama video recently attracts more interest in both study and application courtesy of its
immersive experience. Due to the expensive cost of capturing 360-degree panoramic videos …

Personalized text-to-image (T2I) synthesis based on diffusion models has attracted
significant attention in recent research. However, existing methods primarily concentrate on …

Since 2021, the term" Metaverse" has been the most popular one, garnering a lot of interest.
Because of its contained environment and built-in computing and networking capabilities, a …

We introduce a novel end-to-end deep-learning solution for rapidly estimating a dense
spherical depth map of an indoor environment. Our input is a single equirectangular image …

Generative models, eg, Stable Diffusion, have enabled the creation of photorealistic images
from text prompts. Yet, the generation of 360-degree panorama images from text remains a …

In recent years, generative networks have achieved high quality results in 3D-aware image
synthesis. However, most prior approaches focus on outside-in generation of a single object …

As virtual reality gains popularity, the demand for controllable creation of immersive and
dynamic omnidirectional videos (ODVs) is increasing. While previous text-to-ODV …

Omnidirectional image (ODI) data is captured with a field-of-view of 360x180, which is much
wider than the pinhole cameras and captures richer surrounding environment details than …

With the advent of portable 360 {\deg} cameras, panorama has gained significant attention
in applications like virtual reality (VR), virtual tours, robotics, and autonomous driving. As a …