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20192023
most citedRethinking Spatially-Adaptive Normalization

15 citations · 56 across the 9 of their papers we have counts for

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15 papers · 1 filter

cs.CV20231 cited

Efficient 3D Articulated Human Generation with Layered Surface Volumes

Yinghao Xu, Wang Yifan, Alexander W. Bergman +3

Access to high-quality and diverse 3D articulated digital human assets is crucial in various applications, ranging from virtual reality to social platforms. Generative approaches,…

cs.CV2023

Invertible Neural Skinning

Yash Kant, Aliaksandr Siarohin, Riza Alp Guler +4

Building animatable and editable models of clothed humans from raw 3D scans and poses is a challenging problem. Existing reposing methods suffer from the limited expressiveness of…

cs.CV2023

AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control

Ruixiang Jiang, Can Wang, Jingbo Zhang +4

Neural implicit fields are powerful for representing 3D scenes and generating high-quality novel views, but it remains challenging to use such implicit representations for creating…

cs.CV20213 cited

Flow Guided Transformable Bottleneck Networks for Motion Retargeting

Jian Ren, Menglei Chai, Oliver J. Woodford +2

Human motion retargeting aims to transfer the motion of one person in a "driving" video or set of images to another person. Existing efforts leverage a long training video from eac…

cs.CV2021

A Good Image Generator Is What You Need for High-Resolution Video Synthesis

Yu Tian, Jian Ren, Menglei Chai +4

Image and video synthesis are closely related areas aiming at generating content from noise. While rapid progress has been demonstrated in improving image-based models to handle la…

cs.CV2021

Exemplar-Based 3D Portrait Stylization

Fangzhou Han, Shuquan Ye, Mingming He +2

Exemplar-based portrait stylization is widely attractive and highly desired. Despite recent successes, it remains challenging, especially when considering both texture and geometri…