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20162024
most citedLatentAvatar: Learning Latent Expression Code for Expressive Neural Head Avatar

40 citations · 78 across the 17 of their papers we have counts for

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16 papers · 1 filter

cs.CV20241 cited

Lodge: A Coarse to Fine Diffusion Network for Long Dance Generation Guided by the Characteristic Dance Primitives

Ronghui Li, YuXiang Zhang, Yachao Zhang +5

We propose Lodge, a network capable of generating extremely long dance sequences conditioned on given music. We design Lodge as a two-stage coarse to fine diffusion architecture, a…

cs.CV2024

TexVocab: Texture Vocabulary-conditioned Human Avatars

Yuxiao Liu, Zhe Li, Yebin Liu +1

To adequately utilize the available image evidence in multi-view video-based avatar modeling, we propose TexVocab, a novel avatar representation that constructs a texture vocabular…

cs.CV202325 cited

DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior

Jingxiang Sun, Bo Zhang, Ruizhi Shao +4

We present DreamCraft3D, a hierarchical 3D content generation method that produces high-fidelity and coherent 3D objects. We tackle the problem by leveraging a 2D reference image t…

cs.CV2023

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

Minghan Qin, Yifan Liu, Yuelang Xu +3

One crucial aspect of 3D head avatar reconstruction lies in the details of facial expressions. Although recent NeRF-based photo-realistic 3D head avatar methods achieve high-qualit…

cs.CV2023

HAvatar: High-fidelity Head Avatar via Facial Model Conditioned Neural Radiance Field

Xiaochen Zhao, Lizhen Wang, Jingxiang Sun +3

The problem of modeling an animatable 3D human head avatar under light-weight setups is of significant importance but has not been well solved. Existing 3D representations either p…

cs.CV2023

Leveraging Intrinsic Properties for Non-Rigid Garment Alignment

Siyou Lin, Boyao Zhou, Zerong Zheng +2

We address the problem of aligning real-world 3D data of garments, which benefits many applications such as texture learning, physical parameter estimation, generative modeling of…