Term #2,338
Generative Network
Claim Term
Generative Network
Reference Case 1
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Date Added
9/3/25
Created
9/3/25, 8:55 PM
Modified
9/3/25, 8:55 PM
Full Desc
“Generative Network” refers to a model configured to synthesize data samples (e.g., images) from random inputs and/or conditioning signals. Examples include GANs, variational autoencoders (VAEs), diffusion models, autoregressive models, or hybrids. A generative network may be conditioned on pixel-wise representations, masks/label maps, edges, landmarks, text prompts, or other anatomic data.
Applications using this term
| Matter | Usage | Notes | Actions |
|---|---|---|---|
| 71212.157.USU1 | Defined | — | App terms |