Dataset Groups Activity Stream GlyphGAN: Style-Consistent Font Generation Based on Generative Adversarial Networks Font generation experiment using GlyphGAN, including legibility, diversity, and style consistency evaluation. BibTex: @dataset{Hideaki_Hayashi_and_Kohtaro_Abe_and_Seiichi_Uchida_2024, abstract = {Font generation experiment using GlyphGAN, including legibility, diversity, and style consistency evaluation.}, author = {Hideaki Hayashi and Kohtaro Abe and Seiichi Uchida}, doi = {10.57702/ihb77bzv}, institution = {No Organization}, keyword = {'GANs', 'diversity', 'font generation', 'legibility', 'style consistency'}, month = {dec}, publisher = {TIB}, title = {GlyphGAN: Style-Consistent Font Generation Based on Generative Adversarial Networks}, url = {https://service.tib.eu/ldmservice/dataset/glyphgan--style-consistent-font-generation-based-on-generative-adversarial-networks}, year = {2024} }
