Rapid Photorealistic Blendshape Modeling from RGB-D Sensors

Author:

Casas Dan1,Feng Andrew1,Alexander Oleg1,Fyffe Graham1,Debevec Paul1,Ichikari Ryosuke1,Li Hao2,Olszewski Kyle2,Suma Evan1,Shapiro Ari1

Affiliation:

1. Institute for Creative Technologies, University of Southern California

2. University of Southern California

Publisher

ACM

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Face to Face Augmented Reality - Broadening the Horizons of AR Communication;2023 International Conference on Electrical, Computer and Energy Technologies (ICECET);2023-11-16

2. Customizing blendshapes to capture facial details;The Journal of Supercomputing;2022-11-03

3. Dynamic facial asset and rig generation from a single scan;ACM Transactions on Graphics;2020-12-31

4. The Rocketbox Library and the Utility of Freely Available Rigged Avatars;Frontiers in Virtual Reality;2020-11-03

5. Expression Packing: As‐Few‐As‐Possible Training Expressions for Blendshape Transfer;Computer Graphics Forum;2020-05

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