mlsanityData to 14 Oct 2026

Image-to-LaTeX Converter for Mathematical Formulas and Text

arXiv 2408.04015 ↗First posted 7 Aug 2024cs.CL cs.CVcited by 2

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Abstract (arXiv)

In this project, we train a vision encoder-decoder model to generate LaTeX code from images of mathematical formulas and text. Utilizing a diverse collection of image-to-LaTeX data, we build two models: a base model with a Swin Transformer encoder and a GPT-2 decoder, trained on machine-generated images, and a fine-tuned version enhanced with Low-Rank Adaptation (LoRA) trained on handwritten formulas. We then compare the BLEU performance of our specialized model on a handwritten test set with other similar models, such as Pix2Text, TexTeller, and Sumen. Through this project, we contribute open-source models for converting images to LaTeX and provide from-scratch code for building these models with distributed training and GPU optimizations.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 14 of its 30 references that are in the map. First posted on arXiv 7 Aug 2024.

Builds on

14 of 30 references.

References · 14

  1. 2017Attention Is All You Needcited by 60,361
  2. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  3. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,380
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  5. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,139
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  7. 2021BEiT: BERT Pre-Training of Image Transformerscited by 2,375
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  9. 2015An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognitioncited by 520
  10. 2021TrOCR: Transformer-based Optical Character Recognition with Pre-trained Modelscited by 279
  11. 2021ICDAR2019 Competition on Scanned Receipt OCR and Information Extractioncited by 256
  12. 2021MathBERT: A Pre-Trained Model for Mathematical Formula Understandingcited by 58
2 more
  1. 2020Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR)cited by 56
  2. 2020A Survey of Deep Learning Approaches for OCR and Document Understandingcited by 32

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Citing papers per year: 2025: 2.

2 papers.