ScoreMix: Synthetic Data Generation by Score Composition in Diffusion Models Improves Recognition
This paper proposes ScoreMix, a self-contained synthetic generation method to produce hard synthetic samples for recognition tasks by leveraging the score compositionality of diffusion models, and finds that mixing classes distant in the discriminator's embedding space yields larger gains, compared to selection based o...