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20222026
most citedTADA! Text to Animatable Digital Avatars

2 citations · 8 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

Steering Video Diffusion Transformers with Massive Activations

Xianhang Cheng, Yujian Zheng, Zhenyu Xie +2

In this work, we study the role of Massive Activations (MAs), which are rare, high-magnitude spikes confined to a few fixed hidden dimensions in video diffusion transformers (DiTs)…

cs.CV2025★ 1 cited

SOAP: Style-Omniscient Animatable Portraits

Tingting Liao, Yujian Zheng, Adilbek Karmanov +4

Creating animatable 3D avatars from a single image remains challenging due to style limitations (realistic, cartoon, anime) and difficulties in handling accessories or hairstyles.…

cs.CV2023★ 2 cited

TeCH: Text-guided Reconstruction of Lifelike Clothed Humans

Yangyi Huang, Hongwei Yi, Yuliang Xiu +4

Despite recent research advancements in reconstructing clothed humans from a single image, accurately restoring the "unseen regions" with high-level details remains an unsolved cha…

cs.CV2023★ 1 cited

High-Fidelity Clothed Avatar Reconstruction from a Single Image

Tingting Liao, Xiaomei Zhang, Yuliang Xiu +7

This paper presents a framework for efficient 3D clothed avatar reconstruction. By combining the advantages of the high accuracy of optimization-based methods and the efficiency of…

cs.CV2022★ 2 cited

MVP-Human Dataset for 3D Human Avatar Reconstruction from Unconstrained Frames

Xiangyu Zhu, Tingting Liao, Jiangjing Lyu +6

In this paper, we consider a novel problem of reconstructing a 3D human avatar from multiple unconstrained frames, independent of assumptions on camera calibration, capture space,…