Abstract
The advent of text-driven 360-degree panorama generation, enabling the synthesis of 360-degree panoramic images directly from textual descriptions, marks a transformative advancement in immersive visual content creation. This innovation significantly simplifies the traditionally complex process of producing such content. Recent progress in text-to-image diffusion models has accelerated the rapid development in this emerging field. This survey presents a comprehensive review of text-driven 360-degree panorama generation, offering an in-depth analysis of state-of-the-art algorithms and their expanding applications in 360-degree 3D scene generation. Furthermore, we critically examine current limitations and propose promising directions for future research. A curated project page with relevant resources and research papers is available at this https URL.
Abstract (translated)
文本驱动的360度全景图像生成技术的出现，使得可以直接从文字描述中合成360度全景图，标志着沉浸式视觉内容创作领域的革命性进步。这一创新大大简化了传统上复杂的内容生产过程。最近在文本到图像扩散模型方面取得的进步加速了该新兴领域的发展。本综述对文本驱动的360度全景生成进行了全面回顾，并深入分析了当前最先进的算法及其在360度三维场景生成中的扩展应用。此外，我们还批判性地审视了现有局限性并提出了未来研究的有前景的方向。相关资源和研究论文可在以下网址（此 https URL）上查阅。
URL
https://arxiv.org/abs/2502.14799
