54 citations · 67 across the 5 of their papers we have counts for
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StyleTex: Style Image-Guided Texture Generation for 3D Models
Zhiyu Xie, Yuqing Zhang, Xiangjun Tang +4
Style-guided texture generation aims to generate a texture that is harmonious with both the style of the reference image and the geometry of the input mesh, given a reference style…
Decoupling Contact for Fine-Grained Motion Style Transfer
Xiangjun Tang, Linjun Wu, He Wang +7
Motion style transfer changes the style of a motion while retaining its content and is useful in computer animations and games. Contact is an essential component of motion style tr…
Portrait3D: Text-Guided High-Quality 3D Portrait Generation Using Pyramid Representation and GANs Prior
Yiqian Wu, Hao Xu, Xiangjun Tang +5
Existing neural rendering-based text-to-3D-portrait generation methods typically make use of human geometry prior and diffusion models to obtain guidance. However, relying solely o…
3DPortraitGAN: Learning One-Quarter Headshot 3D GANs from a Single-View Portrait Dataset with Diverse Body Poses
Yiqian Wu, Hao Xu, Xiangjun Tang +3
3D-aware face generators are typically trained on 2D real-life face image datasets that primarily consist of near-frontal face data, and as such, they are unable to construct one-q…
Parametric Reshaping of Portraits in Videos
Xiangjun Tang, Wenxin Sun, Yong-Liang Yang +1
Sharing short personalized videos to various social media networks has become quite popular in recent years. This raises the need for digital retouching of portraits in videos. How…