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20162023
most citedLatentAvatar: Learning Latent Expression Code for Expressive Neural Head Avatar

40 citations · 52 across the 10 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CV2024

MeshAvatar: Learning High-quality Triangular Human Avatars from Multi-view Videos

Yushuo Chen, Zerong Zheng, Zhe Li +2

We present a novel pipeline for learning high-quality triangular human avatars from multi-view videos. Recent methods for avatar learning are typically based on neural radiance fie…

cs.CV2024

HHMR: Holistic Hand Mesh Recovery by Enhancing the Multimodal Controllability of Graph Diffusion Models

Mengcheng Li, Hongwen Zhang, Yuxiang Zhang +3

Recent years have witnessed a trend of the deep integration of the generation and reconstruction paradigms. In this paper, we extend the ability of controllable generative models f…

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.GR2024

Real-time High-resolution View Synthesis of Complex Scenes with Explicit 3D Visibility Reasoning

Tiansong Zhou, Yebin Liu, Xuangeng Chu +4

Rendering photo-realistic novel-view images of complex scenes has been a long-standing challenge in computer graphics. In recent years, great research progress has been made on enh…

cs.CV2024

TACO: Benchmarking Generalizable Bimanual Tool-ACtion-Object Understanding

Yun Liu, Haolin Yang, Xu Si +5

Humans commonly work with multiple objects in daily life and can intuitively transfer manipulation skills to novel objects by understanding object functional regularities. However,…