We present SDFit, a novel render-and-compare framework which recovers 3D object pose and shape from a single image; At the core of this lies a 3D morphable signed-distance function (mSDF), and exploiting recent foundational models.
@inproceedings{antic2025sdfit,
title = {{SDFit}: {3D} Object Pose and Shape by Fitting a Morphable {SDF} to a Single Image},
author = {Anti\'{c}, Dimitrije and Paschalidis, Georgios and Tripathi, Shashank and Gevers, Theo and Dwivedi, Sai Kumar and Tzionas, Dimitrios},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
month = {October},
year = {2025},
}