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MIND: Monge Inception Distance for Generative Models Evaluation
MIND uses sliced Wasserstein distance via sorting to evaluate generative models with 10x better sample efficiency, 100x faster computation, and greater adversarial robustness than FID.
Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026
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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 0/5