Francesco Ballerini — accepted AI-conference papers

2026

Weight Space Representation Learning on Diverse NeRF Architectures

Francesco Ballerini, Pierluigi Zama Ramirez, Luigi Di Stefano, Samuele Salti

ICLR 2026poster

Neural Radiance Fields (NeRFs) have emerged as a groundbreaking paradigm for representing 3D objects and scenes by encoding shape and appearance information into the weights of a neural network. Recent studies have demonstrated that these weights can be used as input for frameworks designed to addre…

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2024

Neural Processing of Tri-Plane Hybrid Neural Fields

Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini, Allan Zhou, Samuele Salti, Luigi di Stefano

ICLR 2024poster

Driven by the appealing properties of neural fields for storing and communicating 3D data, the problem of directly processing them to address tasks such as classification and part segmentation has emerged and has been investigated in recent works. Early approaches employ neural fields parameterized…

Cited by 7 Source ↗PDF ↗code ↗Scholar ↗