ChartFormer: A Large Vision Language Model for Converting Chart Images into Tactile Accessible SVGs

Omar Moured, Sara Alzalabny, Anas Osman, Thorsten Schwarz, Karin Müller 0001, Rainer Stiefelhagen. ChartFormer: A Large Vision Language Model for Converting Chart Images into Tactile Accessible SVGs. In Klaus Miesenberger, Petr Penáz, Makato Kobayashi, editors, Computers Helping People with Special Needs - 19th International Conference, ICCHP 2024, Linz, Austria, July 8-12, 2024, Proceedings, Part I. Volume 14750 of Lecture Notes in Computer Science, pages 299-305, Springer, 2024. [doi]

Abstract

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