
Anbu Huang
Research Scientist, Author, AI Enthusiast, THU
- ShenZhen, China
- Github
- Stackoverflow
- Google Scholar
- ORCID
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• An Overview of Diffusion Models
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Diffusion models have been shown to be a highly promising approach in the field of image generation. They treat image generation as two independent processes: the forward process, which transforms a complex data distribution into a known prior distribution (typically a standard normal distribution) by gradually injecting noise; and the reverse process, which transforms the prior distribution back into the complex data distribution by gradually removing the noise.