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Taming Stable Diffusion for Text to 360{\deg} Panorama Image Generation
April 12, 2024, 4:45 a.m. | Cheng Zhang, Qianyi Wu, Camilo Cruz Gambardella, Xiaoshui Huang, Dinh Phung, Wanli Ouyang, Jianfei Cai
cs.CV updates on arXiv.org arxiv.org
Abstract: Generative models, e.g., Stable Diffusion, have enabled the creation of photorealistic images from text prompts. Yet, the generation of 360-degree panorama images from text remains a challenge, particularly due to the dearth of paired text-panorama data and the domain gap between panorama and perspective images. In this paper, we introduce a novel dual-branch diffusion model named PanFusion to generate a 360-degree image from a text prompt. We leverage the stable diffusion model as one branch …
arxiv cs.cv diffusion image image generation panorama stable diffusion text type
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