Pierfrancesco Ardino — accepted AI-conference papers

2021

Click To Move: Controlling Video Generation With Sparse Motion

Pierfrancesco Ardino, Marco De Nadai, Bruno Lepri, Elisa Ricci, Stéphane Lathuilière

ICCV 2021poster

This paper introduces Click to Move (C2M), a novel framework for video generation where the user can control the motion of the synthesized video through mouse clicks specifying simple object trajectories of the key objects in the scene. Our model receives as input an initial frame, its corresponding…

Cited by 14 PDF ↗code ↗Scholar ↗

2020

Efficient Generation of Structured Objects with Constrained Adversarial Networks

Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Paolo Morettin, Stefano Teso, Andrea Passerini

NeurIPS 2020poster

Generative Adversarial Networks (GANs) struggle to generate structured objects like molecules and game maps. The issue is that structured objects must satisfy hard requirements (e.g., molecules must be chemically valid) that are difficult to acquire from examples alone. As a remedy, we propose Const…

Cited by 38 Source ↗PDF ↗code ↗Scholar ↗