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Yufeng Zheng

I am a Research Scientist at Google Zürich, where I work with digital humans. I received my PhD from the CLS program with ETH Zurich and Max Planck Institute for Intelligent Systems, Tübingen, advised by Prof. Otmar Hilliges and Prof. Michael J. Black. Previously, I obtained my MSc in Computer Science from ETH Zürich and my BSc in Electronic Engineering from Tsinghua University.

Email / GitHub / Google Scholar / LinkedIn

Research

	Dream-in-4D: A Unified Approach for Text- and Image-guided 4D Scene Generation Yufeng Zheng, Xueting Li, Koki Nagano, Sifei Liu, Karsten Kreis, Otmar Hilliges, Shalini De Mello Computer Vision and Pattern Recognition (CVPR), 2024 paper / code / website /
	FLARE: Fast Learning of Animatable and Relightable Mesh Avatars Shrisha Bharadwaj, Yufeng Zheng, Otmar Hilliges, Michael J. Black, Victoria Fernandez-Abrevaya ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), 2023 paper / video / code / website /
	PointAvatar: Deformable Point-based Head Avatars from Videos Yufeng Zheng, Wang Yifan and Gordon Wetzstein and Michael J. Black and Otmar Hilliges Computer Vision and Pattern Recognition (CVPR), 2023 paper / video / code / website /
	I M Avatar: Implicit Morphable Head Avatars from Videos Yufeng Zheng, Victoria Fernández Abrevaya, Marcel C. Bühler, Xu Chen, Michael J. Black, Otmar Hilliges Computer Vision and Pattern Recognition (CVPR) (Oral), 2022 paper / video / code / website /
	SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes Xu Chen, Yufeng Zheng, Michael Black, Otmar Hilliges, Andreas Geiger International Conference on Computer Vision (ICCV), 2021 paper / video / code / website /
	Self-Learning Transformations for Improving Gaze and Head Redirection Yufeng Zheng, Seonwook Park, Xucong Zhang, Shalini Mello, Otmar Hilliges Neural Information Processing Systems (NeurIPS), 2020 paper / code / poster /

Design and source code from Jon Barron's website and Leonid Keselman's Jekyll fork

Original Source | Taken Source

Yufeng Zheng

Research

Dream-in-4D: A Unified Approach for Text- and Image-guided 4D Scene Generation

FLARE: Fast Learning of Animatable and Relightable Mesh Avatars

PointAvatar: Deformable Point-based Head Avatars from Videos

I M Avatar: Implicit Morphable Head Avatars from Videos

SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes

Self-Learning Transformations for Improving Gaze and Head Redirection