Transcription of Generative Adversarial Transformers
{{id}} {{{paragraph}}}
Example: air traffic controller
Generative Adversarial Transformers
Generative Adversarial TransformersDrew A. Hudson Department of Computer ScienceStanford Lawrence ZitnickFacebook AI ResearchFacebook, introduce the GANformer, a novel and effi-cient type of transformer, and explore it for thetask of visual Generative modeling. The networkemploys a bipartite structure that enables long-range interactions across the image, while main-taining computation of linear efficiency, that canreadily scale to high-resolution synthesis. It itera-tively propagates information from a set of latentvariables to the evolving visual features and viceversa, to support the refinement of each in light ofthe other, and encourage the emergence of compo-sitional representations for objects and scenes.
cient type of transformer, and explore it for the task of visual generative modeling. The network employs a bipartite structure that enables long-range interactions across the image, while main-taining computation of linear efficiency, that can readily scale to high-resolution synthesis. It itera-tively propagates information from a set of latent
Loading..
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: