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Implicit Inversion turns CLIP into a Decoder
Antonio D'Orazio, Maria Rosaria Briglia, Donato Crisostomi +3
CLIP is a discriminative model trained to align images and text in a shared embedding space. Due to its multimodal structure, it serves as the backbone of many generative pipelines…
Understanding Adversarial Training with Energy-based Models
Mujtaba Hussain Mirza, Maria Rosaria Briglia, Filippo Bartolucci +3
We aim at using Energy-based Model (EBM) framework to better understand adversarial training (AT) in classifiers, and additionally to analyze the intrinsic generative capabilities…
What is Adversarial Training for Diffusion Models?
Briglia Maria Rosaria, Mujtaba Hussain Mirza, Giuseppe Lisanti +1
We answer the question in the title, showing that adversarial training (AT) for diffusion models (DMs) fundamentally differs from classifiers: while AT in classifiers enforces outp…