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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…
HOLO: Homography-Guided Pose Estimator Network for Fine-Grained Visual Localization on SD Maps
Xuchang Zhong, Xu Cao, Jinke Feng +1
Visual localization on standard-definition (SD) maps has emerged as a promising low-cost and scalable solution for autonomous driving. However, existing regression-based approaches…
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…
PMNI: Pose-free Multi-view Normal Integration for Reflective and Textureless Surface Reconstruction
Mingzhi Pei, Xu Cao, Xiangyi Wang +2
Reflective and textureless surfaces remain a challenge in multi-view 3D reconstruction. Both camera pose calibration and shape reconstruction often fail due to insufficient or unre…
SuperNormal: Neural Surface Reconstruction via Multi-View Normal Integration
Xu Cao, Takafumi Taketomi
We present SuperNormal, a fast, high-fidelity approach to multi-view 3D reconstruction using surface normal maps. With a few minutes, SuperNormal produces detailed surfaces on par…