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20242026
most citedAA-SGAN: Adversarially Augmented Social GAN with Synthetic Data

2 citations · 2 across the 3 of their papers we have counts for

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cs.CV2025

SAEmnesia: Erasing Concepts in Diffusion Models with Supervised Sparse Autoencoders

Enrico Cassano, Riccardo Renzulli, Marco Nurisso +3

Concept unlearning in diffusion models is hampered by feature splitting, where concepts are distributed across many latent features, making their removal challenging and computatio…

cs.CV2024★ 2 cited

AA-SGAN: Adversarially Augmented Social GAN with Synthetic Data

Mirko Zaffaroni, Federico Signoretta, Marco Grangetto +1

Accurately predicting pedestrian trajectories is crucial in applications such as autonomous driving or service robotics, to name a few. Deep generative models achieve top performan…