Fabio Pizzati

According to our database, Fabio Pizzati authored at least 28 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Towards Reliable Identification of Diffusion-based Image Manipulations.

Alex Costanzino, Woody Bayliss, Juil Sock, Marc Górriz Blanch, Danijela Horak, Ivan Laptev, Philip Torr, Fabio Pizzati

CoRR, June, 2025

PSyDUCK: Training-Free Steganography for Latent Diffusion.

Georgia Channing, Aqib Mahfuz, Mark van der Wilk, Philip Torr, Fabio Pizzati, Christian Schröder de Witt

CoRR, January, 2025

Video Motion Transfer with Diffusion Transformers.

Alexander Pondaven, Aliaksandr Siarohin, Sergey Tulyakov, Philip Torr, Fabio Pizzati

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

SafetyDPO: Scalable Safety Alignment for Text-to-Image Generation.

Runtao Liu, Chen I Chieh, Jindong Gu, Jipeng Zhang, Renjie Pi, Qifeng Chen, Philip Torr, Ashkan Khakzar, Fabio Pizzati

CoRR, 2024

MALT: Improving Reasoning with Multi-Agent LLM Training.

Sumeet Ramesh Motwani, Chandler Smith, Rocktim Jyoti Das, Markian Rybchuk, Philip H. S. Torr, Ivan Laptev, Fabio Pizzati, Ronald Clark, Christian Schröder de Witt

CoRR, 2024

MatchDiffusion: Training-free Generation of Match-cuts.

Alejandro Pardo, Fabio Pizzati, Tong Zhang, Alexander Pondaven, Philip Torr, Juan Camilo Pérez, Bernard Ghanem

CoRR, 2024

Specify and Edit: Overcoming Ambiguity in Text-Based Image Editing.

Ekaterina Iakovleva, Fabio Pizzati, Philip Torr, Stéphane Lathuilière

CoRR, 2024

Risks and Opportunities of Open-Source Generative AI.

Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Aaron Purewal, Botos Csaba, Fabro Steibel, Fazel Keshtkar, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan Arturo Nolazco, Lori Landay, Matthew Thomas Jackson, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster

CoRR, 2024

Near to Mid-term Risks and Opportunities of Open Source Generative AI.

Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Botos Csaba, Fabro Steibel, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan A. Nolazco-Flores, Lori Landay, Matthew Thomas Jackson, Paul Röttger, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster

CoRR, 2024

SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?

Hasan Abed Al Kader Hammoud, Hani Itani, Fabio Pizzati, Philip Torr, Adel Bibi, Bernard Ghanem

CoRR, 2024

Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI.

Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Botos Csaba, Fabro Steibel, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan A. Nolazco-Flores, Lori Landay, Matthew Thomas Jackson, Paul Röttger, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Model Merging and Safety Alignment: One Bad Model Spoils the Bunch.

Hasan Hammoud, Umberto Michieli, Fabio Pizzati, Philip Torr, Adel Bibi, Bernard Ghanem, Mete Ozay

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Latent Guard: A Safety Framework for Text-to-Image Generation.

Runtao Liu, Ashkan Khakzar, Jindong Gu, Qifeng Chen, Philip Torr, Fabio Pizzati

Proceedings of the Computer Vision - ECCV 2024, 2024

On Pretraining Data Diversity for Self-Supervised Learning.

Hasan Abed Al Kader Hammoud, Tuhin Das, Fabio Pizzati, Philip H. S. Torr, Adel Bibi, Bernard Ghanem

Proceedings of the Computer Vision - ECCV 2024, 2024

Material Palette: Extraction of Materials from a Single Image.

Ivan Lopes, Fabio Pizzati, Raoul de Charette

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Physics-Informed Guided Disentanglement in Generative Networks.

Fabio Pizzati, Pietro Cerri, Raoul de Charette

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

2022

Exploring domain-informed and physics-guided learning in image-to-image translation.

Fabio Pizzati

PhD thesis, 2022

Leveraging Local Domains for Image-to-Image Translation.

Anthony Dell'Eva, Fabio Pizzati, Massimo Bertozzi, Raoul de Charette

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

ManiFest: Manifold Deformation for Few-Shot Image Translation.

Fabio Pizzati, Jean-François Lalonde, Raoul de Charette

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Guided Disentanglement in Generative Networks.

Fabio Pizzati, Pietro Cerri, Raoul de Charette

CoRR, 2021

CoMoGAN: Continuous Model-Guided Image-to-Image Translation.

Fabio Pizzati, Pietro Cerri, Raoul de Charette

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Model-based disentanglement of lens occlusions.

Fabio Pizzati, Pietro Cerri, Raoul de Charette

CoRR, 2020

Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptation.

Fabio Pizzati, Raoul de Charette, Michela Zaccaria, Pietro Cerri

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Model-Based Occlusion Disentanglement for Image-to-Image Translation.

Fabio Pizzati, Pietro Cerri, Raoul de Charette

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

A Deep-Learning Approach for Parking Slot Detection on Surround-View Images.

Andrea Zinelli, Luigi Musto, Fabio Pizzati

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Enhanced free space detection in multiple lanes based on single CNN with scene identification.

Fabio Pizzati, Fernando García

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Lane Detection and Classification Using Cascaded CNNs.

Fabio Pizzati, Marco Allodi, Alejandro Barrera, Fernando García

Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

Convolutional Gated Recurrent Units for Obstacle Segmentation in Bird-Eye-View.

Luigi Musto, Francesco Valenti, Andrea Zinelli, Fabio Pizzati, Pietro Cerri

Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019