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This is a Quantitative Study study.

October 9, 2025Open Access

Test-Time Anchoring for Discrete Diffusion Posterior Sampling

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This research demonstrates improvements in posterior sampling through discrete diffusion in image recovery, indicating efficient Bayesian inference.

Anchored Posterior Sampling achieves state-of-the-art performance in discrete diffusion across various benchmarks.
Key innovations include quantized expectation for guidance and anchored remasking for adaptive decoding.
The approach simplifies generative tasks by avoiding retraining and enabling faster inference.
Results highlight benefits in training-free stylization and text-guided editing applications.

Rout et al. (2025) studied this question.

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This research demonstrates improvements in posterior sampling through discrete diffusion in image recovery, indicating efficient Bayesian inference.