Face Inverse Rendering via Hierarchical Decoupling

Previous face inverse rendering methods often require synthetic data with ground truth and/or professional equipment like a lighting stage. However, a model trained on synthetic data or using pre-defined lighting priors is typically unable to generalize well for real-world situations, due to the gap...

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Veröffentlicht in:	IEEE transactions on image processing 2022, Vol.31, p.5748-5761
Hauptverfasser:	Wang, Meng, Guo, Xiaojie, Dai, Wenjing, Zhang, Jiawan
Format:	Artikel
Sprache:	eng
Schlagworte:	Decoupling deep learning face image decomposition Face inverse rendering Faces Image decomposition Image reconstruction Light sources Lighting Rendering Rendering (computer graphics) Task analysis
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