Elisabetta Fedele

I am a Computer Science Master student at ETH Zürich, where I am specializing in Theoretical Computer Science and Machine Learning, with a particular focus on its application in the field of Computer Vision.
In the past year I have been working on Open-Vocabulary 3D scene understanding and Diffusion Models for image generation.
I have spent the summer doing a Research Internship at EPFL, in Alessandro Chiesa's lab.
I am currently writing my master thesis at CVG under the supervision of Francis Engelmann and Marc Pollefeys.

Email / Twitter / CV / Google Scholar / Linkedin / Github

Research

A Time-Space Tradeoff for the Sumcheck Prover
Alessandro Chiesa*, Elisabetta Fedele*, Giacomo Fenzi*, Andrew Zitek-Estrada*
ZKProof Workshop 6, Berlin 2024
blog post / ePrint / code

Blendy is a new concretely efficient algorithm for multilinear sumcheck proving which uses linear time and sublinear memory.

FABRIC: Personalizing Diffusion Models with Iterative Feedback
Dimitri Von Rütte*, Elisabetta Fedele*, Jonathan Thomm*, Lukas Wolf*
Preprint 2023
project page / arXiv / code

FABRIC is a training-free approach that conditions the diffusion process on a set of feedback images, applicable to a wide range of popular diffusion models.

OpenMask3D: Open-Vocabulary 3D Instance Segmentation
Ayça Takmaz*, Elisabetta Fedele*, Robert W. Sumner, Marc Pollefeys, Federico Tombari,
Francis Engelmann
NeurIPS 2023
project page / arXiv / code

OpenMask3D is a zero-shot approach to perform 3D Instance Segmentation with Open-Vocabulary queries.