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Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization

Autor: Dong, Siyan, Wang, Shuzhe, Liu, Shaohui, Cai, Lulu, Fan, Qingnan, Kannala, Juho, Yang, Yanchao

Visual localization aims to determine the camera pose of a query image relative to a database of posed images. In recent years, deep neural networks that directly regress camera poses have gained popularity due to their fast inference capabilities. H

Externí odkaz: http://arxiv.org/abs/2412.08376

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SG-NeRF: Neural Surface Reconstruction with Scene Graph Optimization

Autor: Chen, Yiyang, Dong, Siyan, Wang, Xulong, Cai, Lulu, Zheng, Youyi, Yang, Yanchao

3D surface reconstruction from images is essential for numerous applications. Recently, Neural Radiance Fields (NeRFs) have emerged as a promising framework for 3D modeling. However, NeRFs require accurate camera poses as input, and existing methods

Externí odkaz: http://arxiv.org/abs/2407.12667

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