[CVPR 2025] Reloc3r: Large Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization Paper: https://huggingface.co/papers/2412.08376 Code: https://github.com/ffrivera0/reloc3r Reloc3r is a simple yet effective camera pose estimation framework that combines a pre trained two view relative camera pose regression network with a multi view motion averaging module. Trained on approximately 8 million posed image pairs, Reloc3r achieves surprisingly good performance and generalization ability, producing high quality camera pose estimates in real time. Table of Contents TODO List Installation Usage Evaluation on Relative Camera Pose Estimation Evaluation on Visual Localization Training Citation Acknowledgments TODO List [x] Release pre trained weights and inference code. [x] Release evaluation code for ScanNet1500, MegaDepth1500 and Cambridge datasets. [x] Release sample code for self captured images and videos. [x] Release training code and data. [ ] Release evaluation code for other datasets. [ ] Release the accelerated version for visual localization. [ ] Release Gradio Demo. Installation 1. Clone Reloc3r 2. Create the environment using…
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