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A single controller can now robustly learn stochastic transport across a range of initial distribution shifts, outperforming standard SB and noise augmentation on challenging tasks.
Ditch the noisy diffusion detour: ASBM finds a surprisingly direct route from data to noise, slashing sampling steps and boosting image fidelity.
