FitMe: Deep Photorealistic 3D Morphable Model Avatars
Alexandros Lattas, Stylianos Moschoglou, Stylianos Ploumpis, Baris Gecer, Jiankang Deng, Stefanos Zafeiriou
摘要
S i n g l e i n -t h e -wi l d f a c i a l i ma g e S h a p e a n d Re f l e c t a n c e F i t t i n g S h a p e a n d Re f l e c t a n c e F i t t i n g A c q u i r e d F a c i a l Re f l e c t a n c e P h o t o r e a l i s t i c Re n d e r i n g P h o t o r e a l i s t i c Re n d e r i n g S h a p e Re n d e r i n g Figure 1. FitMe reconstructs relightable shape and reflectance maps for facial avatars, from a single (left) or multiple (right) unconstrained facial images, using a reflectance model and differentiable rendering. The results can be photorealistically rendered in common engines.
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引用它的顶会 Paper27
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它引用的顶会 Paper18
- Training Generative Adversarial Networks with Limited DataTero Karras, Miika Aittala, Janne Hellsten, Samuli Laine 等NeurIPS 2020 · 被引用 2,345 次
- Alias-Free Generative Adversarial NetworksTero Karras, Miika Aittala, Samuli Laine, Erik Härkönen 等NeurIPS 2021 · 被引用 2,126 次
- Soft Rasterizer: A Differentiable Renderer for Image-Based 3D ReasoningShichen Liu, Weikai Chen, Tianye Li, Hao LiICCV 2019 · 被引用 789 次
- Authentic volumetric avatars from a phone scanChen Cao, Tomas Simon, Jin Kyu Kim, Gabe Schwartz 等SIGGRAPH 2022 · 被引用 123 次
- Photo-Realistic Facial Details Synthesis From Single ImageAnpei Chen, Zhang Chen, Guli Zhang, Kenny Mitchell 等ICCV 2019 · 被引用 113 次
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