A Comprehensive Review on Noise Control of Diffusion Model
Fuente:
arXiv
Gespeichert in:
| Hauptverfasser: | , , , , |
|---|---|
| Format: | Preprint |
| Veröffentlicht: |
2025
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866917916158459904 |
|---|---|
| author | Guo, Zhehao Lang, Jiedong Huang, Shuyu Gao, Yunfei Ding, Xintong |
| author_facet | Guo, Zhehao Lang, Jiedong Huang, Shuyu Gao, Yunfei Ding, Xintong |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_04669 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Comprehensive Review on Noise Control of Diffusion Model Guo, Zhehao Lang, Jiedong Huang, Shuyu Gao, Yunfei Ding, Xintong Machine Learning Artificial Intelligence 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. |
| title | A Comprehensive Review on Noise Control of Diffusion Model |
| topic | Machine Learning Artificial Intelligence |
| url | https://arxiv.org/abs/2502.04669 |