2 citations · 4 across the 8 of their papers we have counts for
10 papers
CSS-BA: Gate-Guided Column Space Search for Bundle Adjustment
Ayano Kaneda, Takafumi Taketomi, Shugo Yamaguchi +1
Bundle adjustment (BA) remains a critical refinement module for image-based 3D reconstruction and continues to improve geometric accuracy even in learning-based pipelines. However,…
KaoLRM: Repurposing Pre-trained Large Reconstruction Models for Parametric 3D Face Reconstruction
Qingtian Zhu, Xu Cao, Zhixiang Wang +2
We propose KaoLRM to re-target the learned prior of the Large Reconstruction Model (LRM) for parametric 3D face reconstruction from single-view images. Parametric 3D Morphable Mode…
DeMapGS: Simultaneous Mesh Deformation and Surface Attribute Mapping via Gaussian Splatting
Shuyi Zhou, Shengze Zhong, Kenshi Takayama +2
We propose DeMapGS, a structured Gaussian Splatting framework that jointly optimizes deformable surfaces and surface-attached 2D Gaussian splats. By anchoring splats to a deformabl…
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,…
Neural Multi-View Self-Calibrated Photometric Stereo without Photometric Stereo Cues
Xu Cao, Takafumi Taketomi
We propose a neural inverse rendering approach that jointly reconstructs geometry, spatially varying reflectance, and lighting conditions from multi-view images captured under vary…
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,…