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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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cs.GR2025

Person-In-Situ: Scene-Consistent Human Image Insertion with Occlusion-Aware Pose Control

Shun Masuda, Yuki Endo, Yoshihiro Kanamori

Compositing human figures into scene images has broad applications in areas such as entertainment and advertising. However, existing methods often cannot handle occlusion of the in…

cs.GR2025

TerraFusion: Joint Generation of Terrain Geometry and Texture Using Latent Diffusion Models

Kazuki Higo, Toshiki Kanai, Yuki Endo +1

3D terrain models are essential in fields such as video game development and film production. Since surface color often correlates with terrain geometry, capturing this relationshi…

cs.GR2025

SelfAge: Personalized Facial Age Transformation Using Self-reference Images

Taishi Ito, Yuki Endo, Yoshihiro Kanamori

Age transformation of facial images is a technique that edits age-related person's appearances while preserving the identity. Existing deep learning-based methods can reproduce nat…

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.GR2021

Relighting Humans in the Wild: Monocular Full-Body Human Relighting with Domain Adaptation

Daichi Tajima, Yoshihiro Kanamori, Yuki Endo

The modern supervised approaches for human image relighting rely on training data generated from 3D human models. However, such datasets are often small (e.g., Light Stage data wit…

cs.GR2019★ 3 cited

Animating Landscape: Self-Supervised Learning of Decoupled Motion and Appearance for Single-Image Video Synthesis

Yuki Endo, Yoshihiro Kanamori, Shigeru Kuriyama

Automatic generation of a high-quality video from a single image remains a challenging task despite the recent advances in deep generative models. This paper proposes a method that…

cs.GR2019★ 13 cited

Relighting Humans: Occlusion-Aware Inverse Rendering for Full-Body Human Images

Yoshihiro Kanamori, Yuki Endo

Relighting of human images has various applications in image synthesis. For relighting, we must infer albedo, shape, and illumination from a human portrait. Previous techniques rel…