April 1, 2024, 4:45 a.m. | Baptiste Brument, Robin Bruneau, Yvain Qu\'eau, Jean M\'elou, Fran\c{c}ois Bernard Lauze, Jean-Denis, Jean-Denis Durou, Lilian Calvet

cs.CV updates on arXiv.org arxiv.org

arXiv:2312.01215v2 Announce Type: replace
Abstract: This paper introduces a versatile paradigm for integrating multi-view reflectance (optional) and normal maps acquired through photometric stereo. Our approach employs a pixel-wise joint re-parameterization of reflectance and normal, considering them as a vector of radiances rendered under simulated, varying illumination. This re-parameterization enables the seamless integration of reflectance and normal maps as input data in neural volume rendering-based 3D reconstruction while preserving a single optimization objective. In contrast, recent multi-view photometric stereo (MVPS) methods …

3d reconstruction abstract acquired arxiv cs.cv integration maps normal paper paradigm pixel seamless integration them through type vector view wise

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US