Abstract We present Text2Room, a method for generating room-scale textured 3D meshes
from a given text prompt as input. To this end, we leverage pre-trained 2D text-to-image …

Neural Radiance Field (NeRF) has achieved substantial progress in novel view synthesis
given multi-view images. Recently, some works have attempted to train a NeRF from a …

Omnidirectional images and videos are widespread due to the popularization of devices for
capturing and visualization. Unlike pinhole-based imagery, omnidirectional media lie on the …

Panoramic depth estimation has become a hot topic in 3D reconstruction techniques with its
omnidirectional spatial field of view. However, panoramic RGB-D datasets are difficult to …

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 …

We propose a novel approach to compute high-resolution (2048x1024 and higher) depths
for panoramas that is significantly faster and qualitatively and qualitatively more accurate …

We present a new data-driven approach for extracting geometric and structural information
from a single spherical panorama of an interior scene, and for using this information to …

State-of-the-art single-view 360 room layout reconstruction methods formulate the problem
as a high-level 1D (per-column) regression task. On the other hand traditional low-level 2D …

Recent single-view 3D generative methods have made significant advancements by
leveraging knowledge distilled from extensive 3D object datasets. However, challenges …

We present a novel framework, dubbed PanoVerse, for the automatic creation and
presentation of immersive stereoscopic environments from a single indoor panoramic …