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Forget noisy starting points: ABC leverages the structural similarity between time-adjacent states in continuous processes to generate more realistic videos and weather forecasts.
LLMs can leapfrog state-of-the-art scientific algorithms and human-designed solutions, but only if you scale the evaluation loop, not just the model.
Ditch the training overhead and still get up to 4.79x faster diffusion sampling with Spectrum, a training-free feature forecasting method that actually maintains image quality.
Achieve spatially faithful image-to-image translation without cross-domain supervision by bridging diffusion models with self-supervised semantic representations.
