CAM3R: Camera-Agnostic Model for 3D Reconstruction
Paper โข 2603.22631 โข Published
Weights for CAM3R, a two-view 3D reconstruction network that takes an image pair from arbitrary, possibly different camera models โ pinhole, fisheye, or 360ยฐ panoramic โ with no intrinsics given at test time.
See github.com/nam1410/cam3r for installation, the inference scripts, and the expected input format.
from huggingface_hub import hf_hub_download
path = hf_hub_download("gnam8991/cam3r", "cam3r_release_weights.pth")
@inproceedings{guruprasad2026cam3r,
title = {CAM3R: Camera-Agnostic Model for 3D Reconstruction},
author = {Guruprasad, Namitha and Yadav, Abhay and Chellappa, Rama and Peng, Cheng},
eprint = {2603.22631},
archivePrefix = {arXiv},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2026}
}
CC BY-NC-SA 4.0, inherited from DUSt3R / CroCo, on which this code is based. Non-commercial use only.