Wang, H;
Xue, JH;
(2025)
360PanT: Training-Free Text-Driven 360-Degree Panorama-to-Panorama Translation.
In:
Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025.
(pp. pp. 212-221).
IEEE: Tucson, AZ, USA.
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Abstract
Preserving boundary continuity in the translation of 360-degree panoramas remains a significant challenge for existing text-driven image-to-image translation methods. These methods often produce visually jarring discontinuities at the translated panorama's boundaries, disrupting the immersive experience. To address this issue, we propose 360PanT, a training-free approach to text-based 360-degree panorama-to-panorama translation with boundary continuity. Our 360PanT achieves seamless translations through two key components: boundary continuity encoding and seamless tiling translation with spatial control. Firstly, the boundary continuity encoding embeds critical boundary continuity information of the input 360-degree panorama into the noisy latent representation by constructing an extended input image. Secondly, leveraging this embedded noisy latent representation and guided by a target prompt, the seamless tiling translation with spatial control enables the generation of a translated image with identical left and right halves while adhering to the extended input's structure and semantic layout. This process ensures a final translated 360-degree panorama with seamless boundary continuity. Experimental results on both real-world and synthesized datasets demonstrate the effectiveness of our 360PanT in translating 360-degree panoramas. Code is available at https://github.com/littlewhitesea/360PanT.
Type: | Proceedings paper |
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Title: | 360PanT: Training-Free Text-Driven 360-Degree Panorama-to-Panorama Translation |
Event: | 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) |
Dates: | 26 Feb 2025 - 6 Mar 2025 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/WACV61041.2025.00031 |
Publisher version: | https://doi.org/10.1109/wacv61041.2025.00031 |
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: | Computer vision, Translation, Image coding, Codes, Semantics, Layout, Immersive experience, Encoding, Noise measurement |
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/10208499 |
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