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20202025
most citedFLARE: Fast Learning of Animatable and Relightable Mesh Avatars

31 citations · 35 across the 3 of their papers we have counts for

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7 papers · 1 filter

cs.CV2025

Capturing Head Avatar with Hand Contacts from a Monocular Video

Haonan He, Yufeng Zheng, Jie Song

Photorealistic 3D head avatars are vital for telepresence, gaming, and VR. However, most methods focus solely on facial regions, ignoring natural hand-face interactions, such as a…

cs.CV2023★ 1 cited

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

Yufeng Zheng, Xueting Li, Koki Nagano +4

Large-scale diffusion generative models are greatly simplifying image, video and 3D asset creation from user-provided text prompts and images. However, the challenging problem of t…

cs.CV2023★ 31 cited

FLARE: Fast Learning of Animatable and Relightable Mesh Avatars

Shrisha Bharadwaj, Yufeng Zheng, Otmar Hilliges +2

Our goal is to efficiently learn personalized animatable 3D head avatars from videos that are geometrically accurate, realistic, relightable, and compatible with current rendering…

cs.CV2022★ 3 cited

PointAvatar: Deformable Point-based Head Avatars from Videos

Yufeng Zheng, Wang Yifan, Gordon Wetzstein +2

The ability to create realistic, animatable and relightable head avatars from casual video sequences would open up wide ranging applications in communication and entertainment. Cur…

cs.CV2021

I M Avatar: Implicit Morphable Head Avatars from Videos

Yufeng Zheng, Victoria Fernández Abrevaya, Marcel C. Bühler +3

Traditional 3D morphable face models (3DMMs) provide fine-grained control over expression but cannot easily capture geometric and appearance details. Neural volumetric representati…

cs.CV2021

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

Xu Chen, Yufeng Zheng, Michael J. Black +2

Neural implicit surface representations have emerged as a promising paradigm to capture 3D shapes in a continuous and resolution-independent manner. However, adapting them to artic…