LayerPano3D: Layered 3D Panorama for Hyper-Immersive Scene Generation
Authors: name: Shuai Yang, name: Jing Tan, name: Mengchen Zhang, name: Tong Wu, name: Yixuan Li, name: Gordon Wetzstein, name: Ziwei Liu, name: Dahua Lin

3D immersive scene generation is a challenging yet critical task in computer
vision and graphics. A desired virtual 3D scene should 1) exhibit
omnidirectional view consistency, and 2) allow for free exploration in complex
scene hierarchies. Existing methods either rely on successive scene expansion
via inpainting or employ panorama representation to represent large FOV scene
environments. However, the generated scene suffers from semantic drift during
expansion and is unable to handle occlusion among scene hierarchies. To tackle
these challenges, we introduce LayerPano3D, a novel framework for full-view,
explorable panoramic 3D scene generation from a single text prompt. Our key
insight is to decompose a reference 2D panorama into multiple layers at
different depth levels, where each layer reveals the unseen space from the
reference views via diffusion prior. LayerPano3D comprises multiple dedicated
designs: 1) we introduce a novel text-guided anchor view synthesis pipeline for
high-quality, consistent panorama generation. 2) We pioneer the Layered 3D
Panorama as underlying representation to manage complex scene hierarchies and
lift it into 3D Gaussians to splat detailed 360-degree omnidirectional scenes
with unconstrained viewing paths. Extensive experiments demonstrate that our
framework generates state-of-the-art 3D panoramic scene in both full view
consistency and immersive exploratory experience. We believe that LayerPano3D
holds promise for advancing 3D panoramic scene creation with numerous
applications.