frallebini/gmnerf

Weight Space Representation Learning on Diverse NeRF Architectures (ICLR 2026)

To extract the dataset, run:

tar -xvf shapenet_nerfs.tar

The NeRF weights contained in the dataset refer to the following implementations (follow this README to install the required libraries):

• MLP-based NeRF
• Tri-planar NeRF
• Hash-based NeRF

Cite us:

@inproceedings{ballerini2026weight,
  title     = {Weight Space Representation Learning on Diverse {NeRF} Architectures},
  author    = {Ballerini, Francesco and Zama Ramirez, Pierluigi and Di Stefano, Luigi and Salti, Samuele},
  booktitle = {The Fourteenth International Conference on Learning Representations},
  year      = {2026}