Search Results for author: Paris Mavroidis

Found 1 papers, 0 papers with code

FACSIMILE: Fast and Accurate Scans From an Image in Less Than a Second

no code implementations ICCV 2019 David Smith, Matthew Loper, Xiaochen Hu, Paris Mavroidis, Javier Romero

Counterintuitively, the main loss which drives FAX is on per-pixel surface normals instead of per-pixel depth, making it possible to estimate detailed body geometry without any depth supervision.

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