Introducing StyleDrop, a model that allows a significantly higher level of stylized text-to-image synthesis by using a few style reference images that describe the style for text-to-image generation, bypassing the burden of text prompt engineering. More→ https://t.co/F3Rw3QlbtP
At 4:15pm today @TheGradient will be at the #NeurIPS2023 Google booth to talk about the differences between Sharpness-Aware Minimization (that improves generalization) and similar methods (that don't), which can be explained by the structure of the Hessian of the loss function.
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The central problem in materials science is to discover materials with desired properties. MatterGen enables broad property-guided materials design: https://t.co/Nca3szxv5f