mlsanityData to 14 Oct 2026

GridFormer: Towards Accurate Table Structure Recognition via Grid Prediction

arXiv 2309.14962 ↗First posted 26 Sep 2023cs.CVcited by 13

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Abstract (arXiv)

All tables can be represented as grids. Based on this observation, we propose GridFormer, a novel approach for interpreting unconstrained table structures by predicting the vertex and edge of a grid. First, we propose a flexible table representation in the form of an MXN grid. In this representation, the vertexes and edges of the grid store the localization and adjacency information of the table. Then, we introduce a DETR-style table structure recognizer to efficiently predict this multi-objective information of the grid in a single shot. Specifically, given a set of learned row and column queries, the recognizer directly outputs the vertexes and edges information of the corresponding rows and columns. Extensive experiments on five challenging benchmarks which include wired, wireless, multi-merge-cell, oriented, and distorted tables demonstrate the competitive performance of our model over other methods.

Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). Builds on 30 of its 49 references that are in the map. First posted on arXiv 26 Sep 2023.

Builds on

30 of 49 references.

References · 30

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2020End-to-End Object Detection with Transformerscited by 7,414
  3. 2020Deformable DETR: Deformable Transformers for End-to-End Object Detectioncited by 3,422
  4. 2019Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regressioncited by 1,368
  5. 2020DocVQA: A Dataset for VQA on Document Imagescited by 1,317
  6. 2019Objects as Pointscited by 1,175
  7. 2022LayoutLMv3: Pre-training for Document AI with Unified Text and Image Maskingcited by 485
  8. 2019Image-based table recognition: data, model, and evaluationcited by 237
  9. 2019Shape Robust Text Detection with Progressive Scale Expansion Networkcited by 147
  10. 2020Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Contextcited by 147
  11. 2020CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documentscited by 98
  12. 2022TableFormer: Table Structure Understanding with Transformerscited by 94
18 more
  1. 2019Complicated Table Structure Recognitioncited by 92
  2. 2020TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Imagescited by 69
  3. 2019MASTER: Multi-Aspect Non-local Network for Scene Text Recognitioncited by 65
  4. 2021Document AI: Benchmarks, Models and Applicationscited by 62
  5. 2020Table Structure Recognition using Top-Down and Bottom-Up Cuescited by 53
  6. 2021LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignmentcited by 46
  7. 2021Parsing Table Structures in the Wildcited by 43
  8. 2021Split, embed and merge: An accurate table structure recognizercited by 42
  9. 2023Improving Table Structure Recognition with Visual-Alignment Sequential Coordinate Modelingcited by 41
  10. 2021PingAn-VCGroup's Solution for ICDAR 2021 Competition on Scientific Literature Parsing Task B: Table Recognition to HTMLcited by 39
  11. 2023StrucTexTv2: Masked Visual-Textual Prediction for Document Image Pre-trainingcited by 39
  12. 2021Neural Collaborative Graph Machines for Table Structure Recognitioncited by 30
  13. 2022Robust Table Detection and Structure Recognition from Heterogeneous Document Imagescited by 30
  14. 2021TGRNet: A Table Graph Reconstruction Network for Table Structure Recognitioncited by 27
  15. 2022TSRFormer: Table Structure Recognition with Transformerscited by 27
  16. 2022TRUST: An Accurate and End-to-End Table structure Recognizer Using Splitting-based Transformerscited by 19
  17. 2020GFTE: Graph-based Financial Table Extractioncited by 17
  18. 2022Tables to LaTeX: structure and content extraction from scientific tablescited by 7

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 3; 2025: 6; 2026: 4.

13 papers.

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  1. 2024OmniParser: A Unified Framework for Text Spotting, Key Information Extraction and Table Recognitioncited by 74
  2. 2025OmniParser V2: Structured-Points-of-Thought for Unified Visual Text Parsing and Its Generality to Multimodal Large Language Modelscited by 23
  3. 2024StrucTexTv3: An Efficient Vision-Language Model for Text-rich Image Perception, Comprehension, and Beyondcited by 11
  4. 2025TFLOP: Table Structure Recognition Framework with Layout Pointer Mechanismcited by 9
  5. 2025Table2LaTeX-RL: High-Fidelity LaTeX Code Generation from Table Images via Reinforced Multimodal Language Modelscited by 9
  6. 2024SEMv3: A Fast and Robust Approach to Table Separation Line Detectioncited by 7
  7. 2025TABLET: Table Structure Recognition using Encoder-only Transformerscited by 5
  8. 2025Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scalecited by 1
  9. 2026TDATR: Improving End-to-End Table Recognition via Table Detail-Aware Learning and Cell-Level Visual Alignmentcited by 1
  10. 2026InstructTable: Improving Table Structure Recognition Through Instructionscited by 1
  11. 2025SepFormer: Coarse-to-fine Separator Regression Network for Table Structure Recognitioncited by 0
  12. 2026FastTab: A Fast Table Recognizer with a Tiny Recursive Module and 1D Transformerscited by 0
1 more
  1. 2026Enhancing Table Structure Recognition via Bounding Box Guidancecited by 0