TRACE: A Differentiable Approach to Line-Level Stroke Recovery for Offline Handwritten Text

Author:

Archibald TaylorORCID,Poggemann Mason,Chan AaronORCID,Martinez Tony

Publisher

Springer International Publishing

Reference22 articles.

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3. Carbune, V., et al.: Fast multi-language LSTM-based online handwriting recognition. Int. J. Doc. Anal. Recognit. (IJDAR) 23(2), 89–102 (2020). https://doi.org/10.1007/s10032-020-00350-4

4. Davis, B., Tensmeyer, C., Price, B., Wigington, C., Morse, B., Jain, R.: Text and style conditioned GAN for generation of offline handwriting lines. In: 31st British Machine Vision Conference, BMVC (2020)

5. Dinh, L., Sohl-Dickstein, J., Bengio, S.: Density estimation using Real NVP. In: 5th International Conference on Learning Representations, ICLR 2017 - Conference Track Proceedings, May 2016. http://arxiv.org/abs/1605.08803

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