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cs.CV2024
Using Multimodal Foundation Models and Clustering for Improved Style Ambiguity Loss
James Baker
Teaching text-to-image models to be creative involves using style ambiguity loss, which requires a pretrained classifier. In this work, we explore a new form of the style ambiguity…
cs.CV2023
ARTEMIS: Using GANs with Multiple Discriminators to Generate Art
James Baker
We propose a novel method for generating abstract art. First an autoencoder is trained to encode and decode the style representations of images, which are extracted from source ima…