[ECCV2026] NeLU3D: Neural Inverse Structured Light Without Explicitly Modeling the Projector

Project Webpage | Paper | Supplementary

Giancarlo Pereira², David Fouhey^1,2, Claudio T. Silva^2,3, Daniele Panozzo¹

¹New York University, Courant Institute of Mathematical Sciences

²New York University, Tandon School of Engineering

³New York University, Center for Data Science

This repository contains the source code for the project "NeLU3D: Neural Inverse Structured Light without Modeling the Projector" (ECCV 2026).

Acknowledgments

This work was partially supported by NSF grants OAC-2411349 and OAC-2411221 and the NYU IT High Performance Computing resources, services, and staff expertise. Some code has been borrowed from NeuS, TurboSL, and LookUp3D; we thank their authors for the great projects and making them open-source.

Citation

If you use this work, please be kind to cite our paper:

@inbook{pereira_2026_nelu3d,
  title = {NeLU3D: Neural Inverse Structured Light Without Explicitly Modeling the Projector},
  ISBN = {9783032373502},
  ISSN = {1611-3349},
  url = {http://dx.doi.org/10.1007/978-3-032-37350-2_31},
  DOI = {10.1007/978-3-032-37350-2_31},
  booktitle = {Computer Vision – ECCV 2026},
  publisher = {Springer Nature Switzerland},
  author = {Pereira,  Giancarlo and Fouhey,  David and Silva,  Claudio T. and Panozzo,  Daniele},
  year = {2026},
  pages = {565–583}
}