mlsanityData to 14 Oct 2026

SeedEdit: Align Image Re-Generation to Image Editing

arXiv 2411.06686 ↗First posted 11 Nov 2024cs.CVcited by 61

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

Abstract (arXiv)

We introduce SeedEdit, a diffusion model that is able to revise a given image with any text prompt. In our perspective, the key to such a task is to obtain an optimal balance between maintaining the original image, i.e. image reconstruction, and generating a new image, i.e. image re-generation. To this end, we start from a weak generator (text-to-image model) that creates diverse pairs between such two directions and gradually align it into a strong image editor that well balances between the two tasks. SeedEdit can achieve more diverse and stable editing capability over prior image editing methods, enabling sequential revision over images generated by diffusion models.

Key facts. Cited by 61 papers in the map (data through 14 Oct 2026). Placed in Image generation, text-to-image and editing, one of 14 directions in Diffusion models. Builds on 8 of its 15 references that are in the map. First posted on arXiv 11 Nov 2024.

Builds on

8 of 15 references.

Closest ancestors · 1

Same direction, newest first

  1. 2021GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models20 Dec

Other references · 7

  1. 2023SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesiscited by 4,356
  2. 2024Scaling Rectified Flow Transformers for High-Resolution Image Synthesiscited by 4,181
  3. 2022Prompt-to-Prompt Image Editing with Cross Attention Controlcited by 2,431
  4. 2023MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editingcited by 624
  5. 2024UltraEdit: Instruction-based Fine-Grained Image Editing at Scalecited by 268
  6. 2024HQ-Edit: A High-Quality Dataset for Instruction-based Image Editingcited by 193
  7. 2024Paint by Inpaint: Learning to Add Image Objects by Removing Them Firstcited by 39

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 39; 2026: 21.

61 papers.

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  1. 2025Step1X-Edit: A Practical Framework for General Image Editingcited by 429
  2. 2025Seedream 4.0: Toward Next-generation Multimodal Image Generationcited by 249
  3. 2025ImgEdit: A Unified Image Editing Dataset and Benchmarkcited by 231
  4. 2025In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformercited by 204
  5. 2026Seedance 2.0: Advancing Video Generation for World Complexitycited by 160
  6. 2025EasyControl: Adding Efficient and Flexible Control for Diffusion Transformercited by 119
  7. 2025UniVideo: Unified Understanding, Generation, and Editing for Videoscited by 87
  8. 2025GPT-IMAGE-EDIT-1.5M: A Million-Scale, GPT-Generated Image Datasetcited by 70
  9. 2025Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Modelcited by 62
  10. 2025NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scalecited by 57
  11. 2025SeedEdit 3.0: Fast and High-Quality Generative Image Editingcited by 53
  12. 2025UniEdit-Flow: Unleashing Inversion and Editing in the Era of Flow Modelscited by 39
38 more
  1. 2025DreamActor-M1: Holistic, Expressive and Robust Human Image Animation with Hybrid Guidancecited by 36
  2. 2025Selftok: Discrete Visual Tokens of Autoregression, by Diffusion, and for Reasoningcited by 33
  3. 2025Does FLUX Already Know How to Perform Physically Plausible Image Composition?cited by 32
  4. 2025InstructX: Towards Unified Visual Editing with MLLM Guidancecited by 32
  5. 2025textttComplex-Edit: CoT-Like Instruction Generation for Complexity-Controllable Image Editing Benchmarkcited by 27
  6. 2025ReasonEdit: Towards Reasoning-Enhanced Image Editing Modelscited by 25
  7. 2025ByteMorph: Benchmarking Instruction-Guided Image Editing with Non-Rigid Motionscited by 19
  8. 2025VINCIE: Unlocking In-context Image Editing from Videocited by 17
  9. 2025DreamPoster: A Unified Framework for Image-Conditioned Generative Poster Designcited by 16
  10. 2025VIVA: VLM-Guided Instruction-Based Video Editing with Reward Optimizationcited by 16
  11. 2026TextPecker: Rewarding Structural Anomaly Quantification for Enhancing Visual Text Renderingcited by 15
  12. 2025EditMGT: Unleashing Potentials of Masked Generative Transformers in Image Editingcited by 12
  13. 2025X2I: Seamless Integration of Multimodal Understanding into Diffusion Transformer via Attention Distillationcited by 11
  14. 2025Image Editing As Programs with Diffusion Modelscited by 10
  15. 2025GenSpace: Benchmarking Spatially-Aware Image Generationcited by 9
  16. 2026Leveraging Verifier-Based Reinforcement Learning in Image Editingcited by 9
  17. 2025Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attackcited by 8
  18. 2025MF-VITON: High-Fidelity Mask-Free Virtual Try-On with Minimal Inputcited by 6
  19. 2025Beyond Textual CoT: Interleaved Text-Image Chains with Deep Confidence Reasoning for Image Editingcited by 6
  20. 2026HP-Edit: A Human-Preference Post-Training Framework for Image Editingcited by 6
  21. 2025Understanding Generative AI Capabilities in Everyday Image Editing Taskscited by 5
  22. 2025Taming Flow-based I2V Models for Creative Video Editingcited by 5
  23. 2026Towards Pixel-Level VLM Perception via Simple Points Predictioncited by 5
  24. 2026ImageEdit-R1: Boosting Multi-Agent Image Editing via Reinforcement Learningcited by 5
  25. 2026ScaleEdit-12M: Scaling Open-Source Image Editing Data Generation via Multi-Agent Frameworkcited by 5
  26. 2026RefineAnything: Multimodal Region-Specific Refinement for Perfect Local Detailscited by 5
  27. 2024ChatDiT: A Training-Free Baseline for Task-Agnostic Free-Form Chatting with Diffusion Transformerscited by 4
  28. 2025FOCUS: Unified Vision-Language Modeling for Interactive Editing Driven by Referential Segmentationcited by 4
  29. 2026TP-Blend: Textual-Prompt Attention Pairing for Precise Object-Style Blending in Diffusion Modelscited by 4
  30. 2026CREval: An Automated Interpretable Evaluation for Creative Image Manipulation under Complex Instructionscited by 3
  31. 2025BlobCtrl: Taming Controllable Blob for Element-level Image Editingcited by 2
  32. 2025SPICE: A Synergistic, Precise, Iterative, and Customizable Image Editing Workflowcited by 2
  33. 2025MultiEdit: Advancing Instruction-based Image Editing on Diverse and Challenging Taskscited by 2
  34. 2025StyleQoRA: Quality-Aware Low-Rank Adaptation for Few-Shot Multi-Style Editingcited by 2
  35. 2026Improving Text-to-Image Generation with Intrinsic Self-Confidence Rewardscited by 2
  36. 2026HorizonWeaver: Generalizable Multi-Level Semantic Editing for Driving Scenescited by 2
  37. 2026Beyond Voxel 3D Editing: Learning from 3D Masks and Self-Constructed Datacited by 2
  38. 2026SpatialFusion: Endowing Unified Image Generation with Intrinsic 3D Geometric Awarenesscited by 2

50 most cited of 61 All 61 (JSON)

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  1. 2026ResetEdit: Precise Text-guided Editing of Generated Image via Resettable Starting Latent
  2. 2023Textual and Visual Prompt Fusion for Image Editing via Step-Wise Alignment
  3. 2024ByteEdit: Boost, Comply and Accelerate Generative Image Editing
  4. 2025Early Timestep Zero-Shot Candidate Selection for Instruction-Guided Image Editing
  5. 2023Forgedit: Text Guided Image Editing via Learning and Forgetting
  6. 2023Prompt Tuning Inversion for Text-Driven Image Editing Using Diffusion Models
  7. 2025EditInfinity: Image Editing with Binary-Quantized Generative Models
  8. 2024DiffEditor: Boosting Accuracy and Flexibility on Diffusion-based Image Editing