PerSign: Personalized Bangladeshi Sign Letters Synthesis
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Abstract (arXiv)
Bangladeshi Sign Language (BdSL) - like other sign languages - is tough to learn for general people, especially when it comes to expressing letters. In this poster, we propose PerSign, a system that can reproduce a person's image by introducing sign gestures in it. We make this operation personalized, which means the generated image keeps the person's initial image profile - face, skin tone, attire, background - unchanged while altering the hand, palm, and finger positions appropriately. We use an image-to-image translation technique and build a corresponding unique dataset to accomplish the task. We believe the translated image can reduce the communication gap between signers (person who uses sign language) and non-signers without having prior knowledge of BdSL.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 5 of its 18 references that are in the map. First posted on arXiv 29 Sep 2022.
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5 of 18 references.
References · 5
- 2016Image-to-Image Translation with Conditional Adversarial Networkscited by 4,510
- 2018OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,161
- 2018GestureGAN for Hand Gesture-to-Gesture Translation in the Wildcited by 27
- 2021BdSL36: A Dataset for Bangladeshi Sign Letters Recognitioncited by 7
- 2018Real Time Bangladeshi Sign Language Detection using Faster R-CNNcited by 6
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