Strainer GAN: Filtering out Impurity Samples in GAN Training
SessionPosters Presentation
DescriptionStrainer GAN: A method refining impure datasets to enhance GAN training. Uses automatic filtering to improve image quality and stability across various architectures. Effective for real-world applications with impure data.
Event Type
Poster
TimeThursday, 5 December 20241:00pm - 2:00pm JST
LocationLobby Gallery (1) & (2), G Block, Level B1
TE
EH
