Self-attention Handwriting Generative Model
SessionPosters Presentation
DescriptionThis study introduces a GAN-based model, zi2zi self-attention, which incorporates residual blocks and Self-Attention Layers in the encoder and decoder. These enhancements capture handwriting font details, mimicking the writer’s style.
Event Type
Poster
TimeFriday, 6 December 20241:00pm - 2:00pm JST
LocationLobby Gallery (1) & (2), G Block, Level B1
TE
EH
