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cs.CV2023
Fast Adaptation with Bradley-Terry Preference Models in Text-To-Image Classification and Generation
Victor Gallego
Recently, large multimodal models, such as CLIP and Stable Diffusion have experimented tremendous successes in both foundations and applications. However, as these models increase…
cs.CV2022★ 6 cited
Personalizing Text-to-Image Generation via Aesthetic Gradients
Victor Gallego
This work proposes aesthetic gradients, a method to personalize a CLIP-conditioned diffusion model by guiding the generative process towards custom aesthetics defined by the user f…