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CVPR2021Top-tier venue

LOHO: Latent Optimization of Hairstyles via Orthogonalization

Rohit Saha, Brendan Duke, Florian Shkurti, Graham W. Taylor, Parham Aarabi

2021Year
8Top-tier citations

Abstract

Figure 1: Hairstyle transfer samples synthesized using LOHO. For given portrait images (a) and (d), LOHO is capable of manipulating hair attributes based on multiple input conditions. Inset images represent the target hair attributes in the order: appearance and style, structure, and shape. LOHO can transfer appearance and style (b), and perceptual structure (e) while keeping the background unchanged. Additionally, LOHO can change multiple hair attributes simultaneously and independently (c).

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