The DIDI dataset: Digital Ink Diagram data
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Abstract (arXiv)
We are releasing a dataset of diagram drawings with dynamic drawing information. The dataset aims to foster research in interactive graphical symbolic understanding. The dataset was obtained using a prompted data collection effort.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 20 Feb 2020.
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Citing papers per year: 2021: 2; 2022: 0; 2023: 1; 2024: 1; 2025: 0; 2026: 1.
5 papers.
- 2023ChiroDiff: Modelling chirographic data with Diffusion Modelscited by 14
- 2021Sketch-based Creativity Support Tools using Deep Learningcited by 3
- 2024Flowmind2Digital: The First Comprehensive Flowmind Recognition and Conversion Approachcited by 1
- 2021Visual Intelligence through Human Interactioncited by 0
- 2026IDraw: Artist Verification from Digital Drawing Imagescited by 0
- 2026IDraw: Artist Verification from Digital Drawing Images3 Aug 2026
- 2024Flowmind2Digital: The First Comprehensive Flowmind Recognition and Conversion Approach8 Jan 2024
- 2023ChiroDiff: Modelling chirographic data with Diffusion Models7 Apr 2023
- 2021Sketch-based Creativity Support Tools using Deep Learning19 Nov 2021
- 2021Visual Intelligence through Human Interaction12 Nov 2021