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ATLAS: Attention-Guided Test-Time Latent Selection for Compositional Visual Autoregressive Generation

Shahabadi, Hossein et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
Visual autoregressive models produce convincing images but can misassign attributes and spatial relations. Searching multiple generation paths can improve composition, yet completing every candidate is costly. We introduce ATLAS, a training-free framework that uses the frozen generator's internal at
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