Controllable 3d Generative Adversarial Face

Authors: Taherkhani, Fariborz*; Rai, Aashish; Gao, Quankai; Srivastava, Shaunak; Chen, Xuanbai; de la Torre, Fernando; Song, ...

Authors: Galanakis, Efstathios*; Gecer, Baris; Lattas, Alexandros; Zafeiriou, Stefanos Description:

Authors: Ayush Tewari, Mohamed Elgharib, Gaurav Bharaj, Florian Bernard, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, ...

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Authors: Michał Stypułkowski; Konstantinos Vougioukas; Sen He; Maciej Zięba; Stavros Petridis; Maja Pantic Description: Talking ...

Authors: Yifang Men, Yiming Mao, Yuning Jiang, Wei-Ying Ma, Zhouhui Lian Description: This paper introduces the ...

Text2Face: Text-based

Authors: Yajie Gu (University of York)*; Nick E. Pears (University of York, UK); Hao Sun (University of York) Description:

Unofficial reimplementation of paper "Efficient Geometry-aware 3D Generative Adversarial Networks"

ECCV 2022 - 3D-FM GAN: Towards 3D-Controllable Face Manipulation

Artificial intelligence that generates three-dimensional people and scenes could be used to rapidly speed up modelling and ...

Here's my tests for turning

Authors: Yiyi Liao, Katja Schwarz, Lars Mescheder, Andreas Geiger Description: In recent years,

Unlock the power of artificial intelligence in

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March 9th, 2021. MIT CSAIL Abstract: Photorealistic and semantically

We present RigNeRF a fully

This video shows qualitative results on

Authors: Sicheng Xu, Jiaolong Yang, Dong Chen, Fang Wen, Yu Deng, Yunde Jia, Xin Tong Description: In this paper, we present ...