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mean-field-approximation

topic1 events
papersSEP 12 04:00 UTC

Logit Refiner Targets Intra-Scale Dependencies in Visual Autoregressive Models

A new arXiv paper analyzes visual autoregressive models, which generate images by predicting one scale of tokens at a time and emitting all tokens in a scale in parallel. The authors argue this parallel decoding acts as a mean-field-style approximation that drops spatial dependencies within each scale. They propose a Logit Refiner method that models these intra-scale relationships to improve generation quality.

image-generation/autoregressive/research/generative-models