SurRF : Unsupervised Multi-View Stereopsis by Learning Surface Radiance Field
The recent success in supervised multi-view stereopsis (MVS) relies on the onerously collected real-world 3D data. While the latest differentiable rendering techniques enable unsupervised MVS, they are restricted to discretized (e.g., point cloud) or implicit geometric representation, suffering from...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 11 vom: 30. Nov., Seite 7912-7927
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| Auteur principal: |
Zhang, Jinzhi
(Auteur) |
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| Autres auteurs: |
Ji, Mengqi,
Wang, Guangyu,
Xue, Zhiwei,
Wang, Shengjin,
Fang, Lu |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2022
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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