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pro vyhledávání: '"Liaudanskas, Aidas"'
Autor:
Shafiei, Mohammad, Bi, Sai, Li, Zhengqin, Liaudanskas, Aidas, Ortiz-Cayon, Rodrigo, Ramamoorthi, Ravi
Recently neural volumetric representations such as neural reflectance fields have been widely applied to faithfully reproduce the appearance of real-world objects and scenes under novel viewpoints and lighting conditions. However, it remains challeng
Externí odkaz:
http://arxiv.org/abs/2110.13272
Autor:
Rai, Nishant, Liaudanskas, Aidas, Rao, Srinivas, Cayon, Rodrigo Ortiz, Munaro, Matteo, Holzer, Stefan
We propose a weakly-supervised multi-view learning approach to learn category-specific surface mapping without dense annotations. We learn the underlying surface geometry of common categories, such as human faces, cars, and airplanes, given instances
Externí odkaz:
http://arxiv.org/abs/2105.01388
Publikováno v:
Journal of Intellectual Property Law & Practice; Jan2020, Vol. 15 Issue 1, p24-31, 8p
