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cs.CV2026

AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization

Zhaorong Wang, Yoshihiro Kanamori, Yuki Endo

Existing 3D avatar outfit transfer methods face distinct challenges: approaches that lift 2D edits to 3D often suffer from outfit or identity quality degradation, while those that…

cs.CV2026

FontUse: A Data-Centric Approach to Style- and Use-Case-Conditioned In-Image Typography

Xia Xin, Yuki Endo, Yoshihiro Kanamori

Recent text-to-image models can generate high-quality images from natural-language prompts, yet controlling typography remains challenging: requested typographic appearance is ofte…

cs.CV2025

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,…

cs.CV2024

EG-HumanNeRF: Efficient Generalizable Human NeRF Utilizing Human Prior for Sparse View

Zhaorong Wang, Yoshihiro Kanamori, Yuki Endo

Generalizable neural radiance field (NeRF) enables neural-based digital human rendering without per-scene retraining. When combined with human prior knowledge, high-quality human r…

cs.CV2024

3D View Optimization for Improving Image Aesthetics

Taichi Uchida, Yoshihiro Kanamori, Yuki Endo

Achieving aesthetically pleasing photography necessitates attention to multiple factors, including composition and capture conditions, which pose challenges to novices. Prior resea…

cs.CV2024

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…