Gaussian Head Avatar: Ultra High-fidelity Head Avatar via Dynamic Gaussians

1 code implementation • 5 Dec 2023 • Yuelang Xu, Benwang Chen, Zhe Li, Hongwen Zhang, Lizhen Wang, Zerong Zheng, Yebin Liu

Creating high-fidelity 3D head avatars has always been a research hotspot, but there remains a great challenge under lightweight sparse view setups.

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High-Fidelity 3D Head Avatars Reconstruction through Spatially-Varying Expression Conditioned Neural Radiance Field

no code implementations • 10 Oct 2023 • Minghan Qin, Yifan Liu, Yuelang Xu, Xiaochen Zhao, Yebin Liu, Haoqian Wang

One crucial aspect of 3D head avatar reconstruction lies in the details of facial expressions.

LatentAvatar: Learning Latent Expression Code for Expressive Neural Head Avatar

no code implementations • 2 May 2023 • Yuelang Xu, Hongwen Zhang, Lizhen Wang, Xiaochen Zhao, Han Huang, GuoJun Qi, Yebin Liu

Existing approaches to animatable NeRF-based head avatars are either built upon face templates or use the expression coefficients of templates as the driving signal.

AvatarMAV: Fast 3D Head Avatar Reconstruction Using Motion-Aware Neural Voxels

no code implementations • 23 Nov 2022 • Yuelang Xu, Lizhen Wang, Xiaochen Zhao, Hongwen Zhang, Yebin Liu

AvatarMAV is the first to model both the canonical appearance and the decoupled expression motion by neural voxels for head avatar.

PIE-NET: Parametric Inference of Point Cloud Edges

no code implementations • NeurIPS 2020 • Xiaogang Wang, Yuelang Xu, Kai Xu, Andrea Tagliasacchi, Bin Zhou, Ali Mahdavi-Amiri, Hao Zhang

We introduce an end-to-end learnable technique to robustly identify feature edges in 3D point cloud data.

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