Wang, Hai;
Xiang, Xiaoyu;
Xia, Weihao;
Xue, Jing-Hao;
(2025)
A Survey on Text-Driven 360-Degree Panorama Generation.
IEEE Transactions on Circuits and Systems for Video Technology
10.1109/tcsvt.2025.3628738.
(In press).
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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. We extend our analysis to two closely related domains: text-driven 360-degree 3D scene generation and text-driven 360-degree panoramic video 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 https://littlewhitesea.github.io/Text-Driven-Pano-Gen/.
| Type: | Article |
|---|---|
| Title: | A Survey on Text-Driven 360-Degree Panorama Generation |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/tcsvt.2025.3628738 |
| Publisher version: | https://doi.org/10.1109/tcsvt.2025.3628738 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | 360-degree panorama generation, text-driven generation, 360-degree 3D scene generation, 360-degree panoramic video generation |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10217177 |
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