mlsanityData to 14 Oct 2026

VDE Bench: Evaluating The Capability of Image Editing Models to Modify Visual Documents

arXiv 2602.00122 ↗First posted 27 Jan 2026cs.CV cs.AI cs.MMcited by 2

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Abstract (arXiv)

Image editing models can modify visual content through natural language, but editing dense documents requires precise local changes amid tightly coupled text, tables, and layout. We introduce VDE Bench, an evaluation resource for studying instruction-guided editing of Chinese and English document images. VDE Bench contains 3,506 instruction-guided image editing samples, including 1,578 text-region edits and 1,928 table-region edits. The benchmark pairs editing instructions and reference images with annotated editing regions and structured OCR outputs. Its evaluation protocol combines region-level and full-page measurements to assess textual correctness, structural fidelity, and visual content preservation. By focusing on the interaction between local edits and their surrounding document context, VDE Bench complements existing visual text editing benchmarks and provides a resource for diagnosing document-specific editing failures.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 34 of its 60 references that are in the map. First posted on arXiv 27 Jan 2026.

Builds on

34 of 60 references.

References · 34

  1. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  2. 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,503
  3. 2022InstructPix2Pix: Learning to Follow Image Editing Instructionscited by 2,611
  4. 2023MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editingcited by 624
  5. 2025Step1X-Edit: A Practical Framework for General Image Editingcited by 429
  6. 2023Emu Edit: Precise Image Editing via Recognition and Generation Taskscited by 324
  7. 2024AnyEdit: Mastering Unified High-Quality Image Editing for Any Ideacited by 241
  8. 2019Image-based table recognition: data, model, and evaluationcited by 237
  9. 2022Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpaintingcited by 233
  10. 2025ImgEdit: A Unified Image Editing Dataset and Benchmarkcited by 231
  11. 2025In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformercited by 204
  12. 2024HQ-Edit: A High-Quality Dataset for Instruction-based Image Editingcited by 193
22 more
  1. 2024OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoningcited by 173
  2. 2024OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotationscited by 150
  3. 2023GlyphControl: Glyph Conditional Control for Visual Text Generationcited by 131
  4. 2025LongCat-Image Technical Reportcited by 100
  5. 2025PaddleOCR-VL: Boosting Multilingual Document Parsing via a 0.9B Ultra-Compact Vision-Language Modelcited by 89
  6. 2024I2EBench: A Comprehensive Benchmark for Instruction-based Image Editingcited by 63
  7. 2023EditVal: Benchmarking Diffusion Based Text-Guided Image Editing Methodscited by 54
  8. 2024TextCtrl: Diffusion-based Scene Text Editing with Prior Guidance Controlcited by 45
  9. 2024Learning Action and Reasoning-Centric Image Editing from Videos and Simulationscited by 32
  10. 2025TextAtlas5M: A Large-scale Dataset for Dense Text Image Generationcited by 27
  11. 2025textttComplex-Edit: CoT-Like Instruction Generation for Complexity-Controllable Image Editing Benchmarkcited by 27
  12. 2025LMM4Edit: Benchmarking and Evaluating Multimodal Image Editing with LMMscited by 24
  13. 2025GIE-Bench: Towards Grounded Evaluation for Text-Guided Image Editingcited by 19
  14. 2025Multi-turn Consistent Image Editingcited by 18
  15. 2025CompBench: Benchmarking Complex Instruction-guided Image Editingcited by 17
  16. 2025BrowserAgent: Building Web Agents with Human-Inspired Web Browsing Actionscited by 17
  17. 2025TextEditBench: Evaluating Reasoning-aware Text Editing Beyond Renderingcited by 8
  18. 2025More Is Better: A MoE-Based Emotion Recognition Framework with Human Preference Alignmentcited by 4
  19. 2025MR-Align: Meta-Reasoning Informed Factuality Alignment for Large Reasoning Modelscited by 4
  20. 2025Multimodal Video Emotion Recognition with Reliable Reasoning Priorscited by 3
  21. 2025Dynamic Deep Graph Learning for Incomplete Multi-View Clustering with Masked Graph Reconstruction Losscited by 3
  22. 2025JTCSE: Joint Tensor-Modulus Constraints and Cross-Attention for Unsupervised Contrastive Learning of Sentence Embeddingscited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 2.

2 papers.

  1. 2026Mind the Gap: Diagnosing Constraint Discovery Failures in Text-in-Image Editingcited by 0
  2. 2026Beyond Plausibility: Verifiable Fine-Grained Image Editing on Structured Assetscited by 0