2 citations · 3 across the 6 of their papers we have counts for
6 papers
FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles
Xingchao Yang, Shiori Ueda, Yuantian Huang +2
Paired bare-makeup facial images are essential for a wide range of beauty-related tasks, such as virtual try-on, facial privacy protection, and facial aesthetics analysis. However,…
FreeUV: Ground-Truth-Free Realistic Facial UV Texture Recovery via Cross-Assembly Inference Strategy
Xingchao Yang, Takafumi Taketomi, Yuki Endo +1
Recovering high-quality 3D facial textures from single-view 2D images is a challenging task, especially under constraints of limited data and complex facial details such as makeup,…
BeautyBank: Encoding Facial Makeup in Latent Space
Qianwen Lu, Xingchao Yang, Takafumi Taketomi
The advancement of makeup transfer, editing, and image encoding has demonstrated their effectiveness and superior quality. However, existing makeup works primarily focus on low-dim…
TANGO: Co-Speech Gesture Video Reenactment with Hierarchical Audio Motion Embedding and Diffusion Interpolation
Haiyang Liu, Xingchao Yang, Tomoya Akiyama +4
We present TANGO, a framework for generating co-speech body-gesture videos. Given a few-minute, single-speaker reference video and target speech audio, TANGO produces high-fidelity…
Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis
Xin Jin, Pengyi Jiao, Zheng-Peng Duan +4
Volumetric rendering based methods, like NeRF, excel in HDR view synthesis from RAWimages, especially for nighttime scenes. While, they suffer from long training times and cannot p…
Makeup Prior Models for 3D Facial Makeup Estimation and Applications
Xingchao Yang, Takafumi Taketomi, Yuki Endo +1
In this work, we introduce two types of makeup prior models to extend existing 3D face prior models: PCA-based and StyleGAN2-based priors. The PCA-based prior model is a linear mod…