67 citations · 117 across the 8 of their papers we have counts for
6 papers · 1 filter
Bringing Diversity from Diffusion Models to Semantic-Guided Face Asset Generation
Yunxuan Cai, Sitao Xiang, Zongjian Li +2
Digital modeling and reconstruction of human faces serve various applications. However, its availability is often hindered by the requirements of data capturing devices, manual lab…
Texturize a GAN Using a Single Image
Pengda Xiang, Sitao Xiang, Yajie Zhao
Can we customize a deep generative model which can generate images that can match the texture of some given image? When you see an image of a church, you may wonder if you can get…
Generative Tweening: Long-term Inbetweening of 3D Human Motions
Yi Zhou, Jingwan Lu, Connelly Barnes +3
The ability to generate complex and realistic human body animations at scale, while following specific artistic constraints, has been a fundamental goal for the game and animation…
One-Shot Identity-Preserving Portrait Reenactment
Sitao Xiang, Yuming Gu, Pengda Xiang +4
We present a deep learning-based framework for portrait reenactment from a single picture of a target (one-shot) and a video of a driving subject. Existing facial reenactment metho…
Disentangling Style and Content in Anime Illustrations
Sitao Xiang, Hao Li
Existing methods for AI-generated artworks still struggle with generating high-quality stylized content, where high-level semantics are preserved, or separating fine-grained styles…
Anime Style Space Exploration Using Metric Learning and Generative Adversarial Networks
Sitao Xiang, Hao Li
Deep learning-based style transfer between images has recently become a popular area of research. A common way of encoding "style" is through a feature representation based on the…