A Comprehensive Review on Noise Control of Diffusion Model

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.

@article{guo2025_2502.04669,
  title={ A Comprehensive Review on Noise Control of Diffusion Model },
  author={ Zhehao Guo and Jiedong Lang and Shuyu Huang and Yunfei Gao and Xintong Ding },
  journal={arXiv preprint arXiv:2502.04669},
  year={ 2025 }
}