Topologically Consistent Multi-View Face Inference Using Volumetric Sampling
Tianye Li, Shichen Liu, Timo Bolkart, Jiayi Liu, Hao Li, Yajie Zhao
2021Year
13Top-tier citations
Abstract
a) Input images (9 of 15 views) (b) Mesh in correspondence (c) Skin details and appearances (d) Animation with fully rigged face model Figure 1: Given (a) multi-view images, our face modeling framework ToFu uses volumetric sampling to predict (b) accurate base meshes in consistent topology as well as (c) high-resolution details and appearances. Our efficient pipeline enables (d) rapid creation of production-quality avatars for animation.
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Install the CLIlune papers fulltext 02b67425-1cfd-4cf5-af65-848cc76bc044Cited by top-tier papers13
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Builds on6
- Learning an animatable detailed 3D face model from in-the-wild imagesYao Feng, Haiwen Feng, Michael J. Black, Timo BolkartSIGGRAPH 2021 · 662 citations
- Learnable Triangulation of Human PoseKarim Iskakov, Egor Burkov, Victor S. Lempitsky, Yury MalkovICCV 2019 · 419 citations
- Single-shot high-quality facial geometry and skin appearance captureJérémy Riviere, Paulo F. U. Gotardo, Derek Bradley, Abhijeet Ghosh et al.SIGGRAPH 2020 · 66 citations
- Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo MatchingXiaodong Gu, Zhiwen Fan, Siyu Zhu, Zuozhuo Dai et al.CVPR 2020
- Learning Formation of Physically-Based Face AttributesRuilong Li, Karl Bladin, Yajie Zhao, Chinmay Chinara et al.CVPR 2020
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