mlsanityData to 7 Oct 2026

EdiText: Controllable Coarse-to-Fine Text Editing with Diffusion Language Models

arXiv 2502.19765 ↗First posted 27 Feb 2025cs.CL cs.LGcited by 3

On the map: Diffusion models → Image generation, text-to-image and editing

Abstract (arXiv)

We propose EdiText, a controllable text editing method that modifies the reference text to desired attributes at various scales. We integrate an SDEdit-based editing technique that allows for broad adjustments in the degree of text editing. Additionally, we introduce a novel fine-level editing method based on self-conditioning, which allows subtle control of reference text. While being capable of editing on its own, this fine-grained method, integrated with the SDEdit approach, enables EdiText to make precise adjustments within the desired range. EdiText demonstrates its controllability to robustly adjust reference text at a broad range of levels across various tasks, including toxicity control and sentiment control.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Placed in Image generation, text-to-image and editing, one of 14 directions in Diffusion models. Builds on 33 of its 53 references that are in the map. First posted on arXiv 27 Feb 2025.

Builds on

33 of 53 references.

Closest ancestors · 3

Same direction, newest first

  1. 2023ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer29 Aug
  2. 2022Null-text Inversion for Editing Real Images using Guided Diffusion Models17 Nov
  3. 2022Imagic: Text-Based Real Image Editing with Diffusion Models17 Oct

Other references · 30

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2020Language Models are Few-Shot Learnerscited by 32,199
  3. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
  4. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 13,958
  5. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
  6. 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,185
  7. 2022Classifier-Free Diffusion Guidancecited by 5,717
  8. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,462
  9. 2022Prompt-to-Prompt Image Editing with Cross Attention Controlcited by 2,409
  10. 2018A Call for Clarity in Reporting BLEU Scorescited by 1,790
  11. 2021Structured Denoising Diffusion Models in Discrete State-Spacescited by 1,665
  12. 2020RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Modelscited by 1,235
18 more
  1. 2022Diffusion-LM Improves Controllable Text Generationcited by 1,006
  2. 2024Simple and Effective Masked Diffusion Language Modelscited by 800
  3. 2023Discrete Diffusion Modeling by Estimating the Ratios of the Data Distributioncited by 712
  4. 2024Simplified and Generalized Masked Diffusion for Discrete Datacited by 606
  5. 2021Argmax Flows and Multinomial Diffusion: Learning Categorical Distributionscited by 566
  6. 2022DiffuSeq: Sequence to Sequence Text Generation with Diffusion Modelscited by 439
  7. 2022Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioningcited by 362
  8. 2022Text2LIVE: Text-Driven Layered Image and Video Editingcited by 312
  9. 2022DiffusionBERT: Improving Generative Masked Language Models with Diffusion Modelscited by 214
  10. 2024Fast Timing-Conditioned Latent Audio Diffusioncited by 178
  11. 2019Automatically Neutralizing Subjective Bias in Textcited by 105
  12. 2019Encode, Tag, Realize: High-Precision Text Editingcited by 99
  13. 2023CoEdIT: Text Editing by Task-Specific Instruction Tuningcited by 67
  14. 2022Mix and Match: Learning-free Controllable Text Generation using Energy Language Modelscited by 66
  15. 2020Felix: Flexible Text Editing Through Tagging and Insertioncited by 58
  16. 2022Read, Revise, Repeat: A System Demonstration for Human-in-the-loop Iterative Text Revisioncited by 46
  17. 2020GACELA -- A generative adversarial context encoder for long audio inpaintingcited by 15
  18. 2024Language Rectified Flow: Advancing Diffusion Language Generation with Probabilistic Flowscited by 4

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 2; 2026: 1.

3 papers.

  1. 2025A Survey on Diffusion Language Modelscited by 75
  2. 2025Discrete Diffusion in Large Language and Multimodal Models: A Surveycited by 61
  3. 2026Where-to-Unmask: Ground-Truth-Guided Unmasking Order Learning for Masked Diffusion Language Modelscited by 9

Similar, not cited

Close in wording, no citation either way

  1. 2025SAEdit: Token-level control for continuous image editing via Sparse AutoEncoder
  2. 2023Custom-Edit: Text-Guided Image Editing with Customized Diffusion Models
  3. 2023Unified Concept Editing in Diffusion Models
  4. 2023DiffUTE: Universal Text Editing Diffusion Model
  5. 2023Forgedit: Text Guided Image Editing via Learning and Forgetting
  6. 2025Detoxifying Large Language Models via Autoregressive Reward Guided Representation Editing
  7. 2025S2Edit: Text-Guided Image Editing with Precise Semantic and Spatial Control
  8. 2024Specify and Edit: Overcoming Ambiguity in Text-Based Image Editing