A Comprehensive Review on Noise Control of Diffusion Model

Authors: Zhehao Guo, Jiedong Lang, Shuyu Huang, Yunfei Gao, Xintong Ding

Abstract: Diffusion models have recently emerged as powerful generative frameworks for producing high-quality images. A pivotal component of these models is the noise schedule, which governs the rate of noise injection during the diffusion process. Since the noise schedule substantially influences sampling quality and training quality, understanding its design and implications is crucial. In this discussion, various noise schedules are examined, and their distinguishing features and performance characteristics are highlighted.

Submitted to arXiv on 07 Feb. 2025

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