The article presents SCEdit, a generative tuning framework for image diffusion models used in tasks like text-to-image generation and controllable image synthesis. This framework focuses on the role of skip…
Continue readingThe paper presents AlignProp, a method for aligning text-to-image diffusion models to desired reward functions via backpropagation. These models are useful in image generation but controlling their behavior for specific…
Continue readingThe paper presents MosaicFusion, a data augmentation approach that uses diffusion models for large vocabulary instance segmentation. This method is training-free and does not rely on label supervision. It uses…
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