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Test-Time Conditioning with Representation-Aligned Visual Features
REPA-G uses representation-aligned visual features to steer diffusion sampling at inference time via optimized similarity, enabling precise multi-scale and multi-concept conditioning without retraining.
Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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AI panel: 9 of 20 reviewers recommend it
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