Artificial Intelligence
潜在扩散模型
Latent Diffusion ModelA generative model framework that learns to reverse a diffusion process in a latent space to generate high-quality data samples / 一种生成模型框架，通过在潜在空间中学习逆转扩散过程来生成高质量的数据样本。
- Knowledge type
- 数学理论
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-10-27 20:02:04
Sub-knowledge points
Higher-order knowledge points
Generative Adversarial Networks / 数学理论Variational Autoencoders
Main parameters and performance indicators
Diffusion Process: Forward process adding Gaussian noiseReverse Process: Denoising neural networkLatent Space: Compressed representation of data
Open problems
No unresolved problem recorded yet
Related literature
ranked by community starsPhyDiff: Physics-guided latent diffusion model for sparse-view CT projection interpolationOpen source
Related products and links
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Creation and modification trail
1 recordsRecord title: Latent Diffusion Model.
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