Stefano Esposito

I am a PhD student at the University of Tübingen, part of Autonomous Vision Group headed by Prof. Andreas Geiger.

Research: I am particularly interested in 3D computer vision topics leveraging coordinate-based neural networks (neural fields). Such methods parameterize the physical properties of scenes or objects in space and time, and have been successfully applied to problems such as novel view synthesis, 3D reconstruction, pose estimation and animations.

Bio: I've obtained a bachelor's degree in computer science and a master's degree in "artificial intelligence and robotics" at the University of Rome "La Sapienza". During and after my master I have been an Erasmus student and a full-time research associate at the Hochschule Bonn-Rhein-Sieg in Bonn, Germany. I see myself as an educated programmer and a true technology enthusiast; in my spare time I enjoy learning new things, traveling, and keeping up to date with what is happening in the world. I love connecting with nature by hiking in the mountains.

For any inquiries, feel free to reach out!

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Publications

Volumetric Surfaces: Representing Fuzzy Geometries with Multiple Meshes
Stefano Esposito, Anpei Chen, Christian Reiser, Samuel Rota Bulò, Lorenzo Porzi, Katja Schwarz, Christian Richardt, Michael Zollhoefer, Peter Kontschieder, Andreas Geiger
arXiv.org, 2024
Project Page / Paper /

@InProceedings{Esposito2024ARXIV, 
	author = {Stefano Esposito and Anpei Chen and Christian Reiser and Samuel Rota Bulò and Lorenzo Porzi and Katja Schwarz and Christian Richardt and Michael Zollhoefer and Peter Kontschieder and Andreas Geiger}, 
	title = {Volumetric Surfaces: Representing Fuzzy Geometries with Multiple Meshes}, 
	booktitle = {arXiv.org}, 
	year = {2024}, 
}

LaRa: Efficient Large-Baseline Radiance Fields
Anpei Chen, Haofei Xu, Stefano Esposito, Siyu Tang, Andreas Geiger
Proc. of the European Conf. on Computer Vision (ECCV), 2024
Project Page / Paper /

@InProceedings{Chen2024ECCV, 
	author = {Anpei Chen and Haofei Xu and Stefano Esposito and Siyu Tang and Andreas Geiger}, 
	title = {LaRa: Efficient Large-Baseline Radiance Fields}, 
	booktitle = {Proc. of the European Conf. on Computer Vision (ECCV)}, 
	year = {2024}, 
}

Efficient Generation of Multimodal Fluid Simulation Data
Daniele Baieri, Donato Crisostomi, Stefano Esposito, Filippo Maggioli, Emanuele Rodolà
arXiv.org, 2024
Project Page / Paper /

@InProceedings{Baieri2024ARXIV, 
	author = {Daniele Baieri and Donato Crisostomi and Stefano Esposito and Filippo Maggioli and Emanuele Rodolà}, 
	title = {Efficient Generation of Multimodal Fluid Simulation Data}, 
	booktitle = {arXiv.org}, 
	year = {2024}, 
}

Fluid Dynamics Network: Topology-Agnostic 4D Reconstruction via Fluid Dynamics Priors
Daniele Baieri, Stefano Esposito, Filippo Maggioli, Emanuele Rodolà
arXiv.org, 2023
Project Page / Paper /

@InProceedings{Baieri2023ARXIV, 
	author = {Daniele Baieri and Stefano Esposito and Filippo Maggioli and Emanuele Rodolà}, 
	title = {Fluid Dynamics Network: Topology-Agnostic 4D Reconstruction via Fluid Dynamics Priors}, 
	booktitle = {arXiv.org}, 
	year = {2023}, 
}

KiloNeuS: A Versatile Neural Implicit Surface Representation for Real-Time Rendering
Stefano Esposito, Daniele Baieri, Stefan Zellmann, Emanuele Rodolà, André Hinkenjann
arXiv.org, 2022
Project Page / Paper /

@InProceedings{Esposito2022ARXIV, 
	author = {Stefano Esposito and Daniele Baieri and Stefan Zellmann and Emanuele Rodolà and André Hinkenjann}, 
	title = {KiloNeuS: A Versatile Neural Implicit Surface Representation for Real-Time Rendering}, 
	booktitle = {arXiv.org}, 
	year = {2022}, 
}