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Matthew Baugh

2 accepted papers

2024

Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability

AAAI 2024technical

Recent advancements in diffusion models have significantly impacted the trajectory of generative machine learning re-search, with many adopting the strategy of fine-tuning pre-trained models using domain-specific text-to-image datasets. Notably, this method has been readily employed for medical appl…

2023

Foreground-Background Separation through Concept Distillation from Generative Image Foundation Models

ICCV 2023poster

Curating datasets for object segmentation is a difficult task. With the advent of large-scale pre-trained generative models, conditional image generation has been given a significant boost in result quality and ease of use. In this paper, we present a novel method that enables the generation of gene…

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