4 papers
Where the Score Lives: A Wavelet View of Diffusion
Emma Finn, Binxu Wang, T. Anderson Keller +1
Score-based generative models have had remarkable success over the last decade in generating a diverse set of visually plausible images. A variety of architectures including CNNs,…
The two clocks and the innovation window: When and how generative models learn rules
Binxu Wang, Emma Lucia Byrnes Finn, Bingbin Liu
Generative models trained on finite data face a fundamental tension: their score-matching or next-token objective converges to the empirical training distribution rather than the p…
Origins of Creativity in Attention-Based Diffusion Models
Emma Finn, T. Anderson Keller, Manos Theodosis +1
As diffusion models have become the tool of choice for image generation and as the quality of the images continues to improve, the question of how `creativity' originates in diffus…
Learning Artistic Signatures: Symmetry Discovery and Style Transfer
Emma Finn, T. Anderson Keller, Emmanouil Theodosis +1
Despite nearly a decade of literature on style transfer, there is no undisputed definition of artistic style. State-of-the-art models produce impressive results but are difficult t…