The PanFusion project creatively bridges the gap between text prompts and the generation of 360-degree panorama images. Two key aspects illuminate its capabilities:

• A dual-branch model structure consisting of a stable diffusion model for natural image priors and a panorama branch for holistic image generation.
• A novel cross-attention mechanism with a projection-aware model reduces distortion in the denoising process.

Experiments illustrate PanFusion’s superiority over existing panorama generation methods, and its unique design approach facilitates integration with additional contextual constraints, like room layout. The merger of textual prompts with panorama photography holds immense potential for a multitude of applications, including virtual environment design and personalized digital content creation.