Presentation / Installation


HiGAN+: Handwriting Imitation GAN With Disentangled Representations
SessionMagical Sketching
DescriptionWhile this task is challenging for machines, humans can quickly learn handwriting imitation with hallucinations. Humans can imitate handwriting perhaps because they can learn to disentangle textual contents and calligraphic styles. Inspired by this, we propose HiGAN+ for realistic handwritten text synthesis based on disentangled representations, achieving the state-of-the-art performance.
Authors
Ji Gan
Chongqing University of Posts and Telecommunications
University of Chinese Academy of Sciences
Weiqiang Wang
University of Chinese Academy of Sciences
Jiaxu Leng
Chongqing University of Posts and Telecommunications
Xinbo Gao
Chongqing University of Posts and Telecommunications
Presenter
Weiqiang Wang
University of Chinese Academy of Sciences, School of Computer Science and Technology
Event Type
Technical Paper
TimeMonday, 7 August 20233:45pm - 3:56pm PDT
LocationPetree Hall C
ACM Digital Library Technical Papers pdfs
Session Time & Location
Sunday, 6 August 20236pm - 8:30pm PDTWest Hall B
Monday, 7 August 20233:45pm - 5:15pm PDTPetree Hall C
Interest Areas
Research & Education
Recordings
Livestreamed
Recorded
Keywords
Image Processing
Video
Registration Categories
FC
FCS
V
VS
EFC
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