mlsanityData to 7 Oct 2026

A Benchmark and Baseline for Language-Driven Image Editing

arXiv 2010.02330 ↗First posted 5 Oct 2020cs.CVcited by 25

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Abstract (arXiv)

Language-driven image editing can significantly save the laborious image editing work and be friendly to the photography novice. However, most similar work can only deal with a specific image domain or can only do global retouching. To solve this new task, we first present a new language-driven image editing dataset that supports both local and global editing with editing operation and mask annotations. Besides, we also propose a baseline method that fully utilizes the annotation to solve this problem. Our new method treats each editing operation as a sub-module and can automatically predict operation parameters. Not only performing well on challenging user data, but such an approach is also highly interpretable. We believe our work, including both the benchmark and the baseline, will advance the image editing area towards a more general and free-form level.

Key facts. Cited by 25 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Oct 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 5; 2022: 3; 2023: 3; 2024: 5; 2025: 7; 2026: 2.

25 papers.

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  1. 2022DiffEdit: Diffusion-based semantic image editing with mask guidancecited by 643
  2. 2023Guiding Instruction-based Image Editing via Multimodal Large Language Modelscited by 182
  3. 2023InstructDiffusion: A Generalist Modeling Interface for Vision Taskscited by 162
  4. 2021Talk-to-Edit: Fine-Grained Facial Editing via Dialogcited by 102
  5. 2021Improving Generation and Evaluation of Visual Stories via Semantic Consistencycited by 43
  6. 2024PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructionscited by 31
  7. 2024HumanEdit: A High-Quality Human-Rewarded Dataset for Instruction-based Image Editingcited by 29
  8. 2022FlexIT: Towards Flexible Semantic Image Translationcited by 28
  9. 2021Learning by Planning: Language-Guided Global Image Editingcited by 25
  10. 2023Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learningcited by 23
  11. 2021Embedding Arithmetic of Multimodal Queries for Image Retrievalcited by 21
  12. 2025REALEDIT: Reddit Edits As a Large-scale Empirical Dataset for Image Transformationscited by 15
13 more
  1. 2025Lumina-OmniLV: A Unified Multimodal Framework for General Low-Level Visioncited by 14
  2. 2025MIGE: Mutually Enhanced Multimodal Instruction-Based Image Generation and Editingcited by 10
  3. 2024DocEdit-v2: Document Structure Editing Via Multimodal LLM Groundingcited by 7
  4. 2025Towards Scalable Human-aligned Benchmark for Text-guided Image Editingcited by 7
  5. 2024Text-to-Image Cross-Modal Generation: A Systematic Reviewcited by 5
  6. 2025What's Producible May Not Be Reachable: Measuring the Steerability of Generative Modelscited by 5
  7. 2025Understanding Generative AI Capabilities in Everyday Image Editing Taskscited by 5
  8. 2022CAISE: Conversational Agent for Image Search and Editingcited by 3
  9. 2021SpaceEdit: Learning a Unified Editing Space for Open-Domain Image Editingcited by 2
  10. 2025What Changed? Detecting and Evaluating Instruction-Guided Image Edits with Multimodal Large Language Modelscited by 2
  11. 2026VIBE: Visual Instruction Based Editorcited by 2
  12. 2026IEA: Amateur-Friendly Conversational Image Editing Agent via Three Stages of Multitask Alignmentcited by 2
  13. 2024UIP2P: Unsupervised Instruction-based Image Editing via Edit Reversibility Constraintcited by 1