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Achieving better video distillation quality isn't just about precision; it's about ensuring broad mode coverage during training.
Existing AI-generated image detectors falter dramatically, with accuracy plummeting from 91-96% to as low as 54-66% when faced with realistic manipulations.
Style transfer just got a whole lot easier: MegaStyle's 1.4M image dataset, generated via text-to-image models, unlocks reliable style similarity measurement and generalizable style transfer.
Dataset distillation that works well for image classification, object detection, and segmentation is now possible thanks to a new diffusion-based approach.
