NeuS-PIR: Learning relightable neural surface using pre-integrated rendering
In this paper, we propose NeuS-PIR, a novel approach for learning relightable neural surfaces using pre-integrated rendering from multi-view image observations. Unlike traditional methods based on NeRFs or discrete mesh representations, our approach employs an implicit neural surface representation...
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| Автори: | , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Tsinghua University Press
2025-08-01
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| Серія: | Computational Visual Media |
| Предмети: | |
| Онлайн доступ: | https://www.sciopen.com/article/10.26599/CVM.2025.9450493 |
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