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20192026
most citedRelighting Humans: Occlusion-Aware Inverse Rendering for Full-Body Human Images

13 citations · 28 across the 18 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.GR2024

All-frequency Full-body Human Image Relighting

Daichi Tajima, Yoshihiro Kanamori, Yuki Endo

Relighting of human images enables post-photography editing of lighting effects in portraits. The current mainstream approach uses neural networks to approximate lighting effects w…

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…

cs.CV2024

DiffBody: Diffusion-based Pose and Shape Editing of Human Images

Yuta Okuyama, Yuki Endo, Yoshihiro Kanamori

Pose and body shape editing in a human image has received increasing attention. However, current methods often struggle with dataset biases and deteriorate realism and the person's…