mlsanityData to 14 Oct 2026

Qwen-Image Technical Report

arXiv 2508.02324 ↗First posted 4 Aug 2025cs.CVcited by 1,044

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Cited by 233 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

We present Qwen-Image, an image generation foundation model in the Qwen series that achieves significant advances in complex text rendering and precise image editing. To address the challenges of complex text rendering, we design a comprehensive data pipeline that includes large-scale data collection, filtering, annotation, synthesis, and balancing. Moreover, we adopt a progressive training strategy that starts with non-text-to-text rendering, evolves from simple to complex textual inputs, and gradually scales up to paragraph-level descriptions. This curriculum learning approach substantially enhances the model's native text rendering capabilities. As a result, Qwen-Image not only performs exceptionally well in alphabetic languages such as English, but also achieves remarkable progress on more challenging logographic languages like Chinese. To enhance image editing consistency, we introduce an improved multi-task training paradigm that incorporates not only traditional text-to-image (T2I) and text-image-to-image (TI2I) tasks but also image-to-image (I2I) reconstruction, effectively aligning the latent representations between Qwen2.5-VL and MMDiT. Furthermore, we separately feed the original image into Qwen2.5-VL and the VAE encoder to obtain semantic and reconstructive representations, respectively. This dual-encoding mechanism enables the editing module to strike a balance between preserving semantic consistency and maintaining visual fidelity. Qwen-Image achieves state-of-the-art performance, demonstrating its strong capabilities in both image generation and editing across multiple benchmarks.

Key facts. Cited by 1,044 papers in the map (data through 14 Oct 2026). Builds on 83 of its 97 references that are in the map. First posted on arXiv 4 Aug 2025.

Builds on

83 of 97 references.

References · 83

  1. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  2. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  3. 2024DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Modelscited by 9,379
  4. 2025Qwen3 Technical Reportcited by 8,820
  5. 2023Direct Preference Optimization: Your Language Model is Secretly a Reward Modelcited by 8,065
  6. 2025Qwen2.5-VL Technical Reportcited by 5,587
  7. 2023SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesiscited by 4,356
  8. 2024Scaling Rectified Flow Transformers for High-Resolution Image Synthesiscited by 4,181
  9. 2022Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flowcited by 3,700
  10. 2017ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenescited by 3,117
  11. 2025Wan: Open and Advanced Large-Scale Video Generative Modelscited by 2,708
  12. 2022InstructPix2Pix: Learning to Follow Image Editing Instructionscited by 2,611
38 more
  1. 2019Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelismcited by 1,868
  2. 2021Vision Transformers for Dense Predictioncited by 1,803
  3. 2024HunyuanVideo: A Systematic Framework For Large Video Generative Modelscited by 1,660
  4. 2019Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfercited by 1,495
  5. 2023Zero-1-to-3: Zero-shot One Image to 3D Objectcited by 1,489
  6. 2019Root Mean Square Layer Normalizationcited by 1,480
  7. 2024Depth Anything V2cited by 1,422
  8. 2024Depth Anything: Unleashing the Power of Large-Scale Unlabeled Datacited by 1,360
  9. 2025SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Featurescited by 1,188
  10. 2025FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Spacecited by 1,006
  11. 2023GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignmentcited by 972
  12. 2025Emerging Properties in Unified Multimodal Pretrainingcited by 897
  13. 2023PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesiscited by 864
  14. 2025Cosmos World Foundation Model Platform for Physical AIcited by 864
  15. 2025Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scalingcited by 812
  16. 2023Diffusion Model Alignment Using Direct Preference Optimizationcited by 790
  17. 2024Emu3: Next-Token Prediction is All You Needcited by 781
  18. 2024Show-o: One Single Transformer to Unify Multimodal Understanding and Generationcited by 752
  19. 2025Flow-GRPO: Training Flow Matching Models via Online RLcited by 661
  20. 2023PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallelcited by 660
  21. 2023MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editingcited by 624
  22. 2022Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Itemscited by 612
  23. 2017Ray: A Distributed Framework for Emerging AI Applicationscited by 527
  24. 2024ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignmentcited by 475
  25. 2024Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generationcited by 457
  26. 2025Step1X-Edit: A Practical Framework for General Image Editingcited by 429
  27. 2024Depth Pro: Sharp Monocular Metric Depth in Less Than a Secondcited by 404
  28. 2024Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimationcited by 395
  29. 2024OmniGen: Unified Image Generationcited by 394
  30. 2025BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Datasetcited by 376
  31. 2024PixArt-Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generationcited by 329
  32. 2023Repurposing Diffusion-Based Image Generators for Monocular Depth Estimationcited by 327
  33. 2024Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesiscited by 304
  34. 2022Reducing Activation Recomputation in Large Transformer Modelscited by 302
  35. 2024Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understandingcited by 298
  36. 2024GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Imagecited by 286
  37. 2024UltraEdit: Instruction-based Fine-Grained Image Editing at Scalecited by 268
  38. 2023ImageDream: Image-Prompt Multi-view Diffusion for 3D Generationcited by 257

50 most cited of 83 All 83 (JSON)

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 229; 2026: 815.

1,044 papers.

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  1. 2025Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformercited by 277
  2. 2025A Survey of Reinforcement Learning for Large Reasoning Modelscited by 180
  3. 2025Emu3.5: Native Multimodal Models are World Learnerscited by 132
  4. 2025LongCat-Image Technical Reportcited by 100
  5. 2025Pref-GRPO: Pairwise Preference Reward-based GRPO for Stable Text-to-Image Reinforcement Learningcited by 92
  6. 2025UniVideo: Unified Understanding, Generation, and Editing for Videoscited by 87
  7. 2025Wan-Animate: Unified Character Animation and Replacement with Holistic Replicationcited by 80
  8. 2025Seedance 1.5 pro: A Native Audio-Visual Joint Generation Foundation Modelcited by 80
  9. 2025Scaling Instruction-Based Video Editing with a High-Quality Synthetic Datasetcited by 79
  10. 2025Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit Feedbackcited by 79
  11. 2025Kling-Omni Technical Reportcited by 71
  12. 2025RewardDance: Reward Scaling in Visual Generationcited by 68
38 more
  1. 2026Helios: Real Real-Time Long Video Generation Modelcited by 65
  2. 2025EditScore: Unlocking Online RL for Image Editing via High-Fidelity Reward Modelingcited by 64
  3. 2025UniVerse-1: Unified Audio-Video Generation via Stitching of Expertscited by 61
  4. 2025NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scalecited by 57
  5. 2025BLIP3o-NEXT: Next Frontier of Native Image Generationcited by 54
  6. 2025OpenVE-3M: A Large-Scale High-Quality Dataset for Instruction-Guided Video Editingcited by 53
  7. 2026Scaling Text-to-Image Diffusion Transformers with Representation Autoencoderscited by 53
  8. 2025GenEval 2: Addressing Benchmark Drift in Text-to-Image Evaluationcited by 52
  9. 2025Reconstruction Alignment Improves Unified Multimodal Modelscited by 49
  10. 2025PromptEnhancer: A Simple Approach to Enhance Text-to-Image Models via Chain-of-Thought Prompt Rewritingcited by 43
  11. 2026Image Generators are Generalist Vision Learnerscited by 43
  12. 2025DiCache: Let Diffusion Model Determine Its Own Cachecited by 42
  13. 2025Thinking with Video: Video Generation as a Promising Multimodal Reasoning Paradigmcited by 42
  14. 2025Skywork UniPic 2.0: Building Kontext Model with Online RL for Unified Multimodal Modelcited by 41
  15. 2025FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmarkcited by 38
  16. 2025DreamOmni2: Multimodal Instruction-based Editing and Generationcited by 38
  17. 2026ImageWAM: Do World Action Models Really Need Video Generation, or Just Image Editing?cited by 38
  18. 2026FireRed-Image-Edit-1.0 Technical Reportcited by 36
  19. 2026LongCat-Next: Lexicalizing Modalities as Discrete Tokenscited by 36
  20. 2026Qwen-Image-2.0 Technical Reportcited by 36
  21. 2025In-Context Learning with Unpaired Clips for Instruction-based Video Editingcited by 35
  22. 2025Easier Painting Than Thinking: Can Text-to-Image Models Set the Stage, but Not Direct the Play?cited by 34
  23. 2025TUNA: Taming Unified Visual Representations for Native Unified Multimodal Modelscited by 34
  24. 2025Qwen-Image-Layered: Towards Inherent Editability via Layer Decompositioncited by 34
  25. 2025RealUnify: Do Unified Models Truly Benefit from Unification? A Comprehensive Benchmarkcited by 33
  26. 2025OmniHuman-1.5: Instilling an Active Mind in Avatars via Cognitive Simulationcited by 32
  27. 2026HiDream-O1-Image: A Natively Unified Image Generative Foundation Model with Pixel-level Unified Transformercited by 32
  28. 2026SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecturecited by 32
  29. 2025JarvisEvo: Towards a Self-Evolving Photo Editing Agent with Synergistic Editor-Evaluator Optimizationcited by 31
  30. 2026Gen-Searcher: Reinforcing Agentic Search for Image Generationcited by 30
  31. 2025ChronoEdit: Towards Temporal Reasoning for Image Editing and World Simulationcited by 29
  32. 2025Ming-UniVision: Joint Image Understanding and Generation with a Unified Continuous Tokenizercited by 28
  33. 2026InternVL-U: Democratizing Unified Multimodal Models for Understanding, Reasoning, Generation and Editingcited by 28
  34. 2025USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learningcited by 27
  35. 2025EvoLMM: Self-Evolving Large Multimodal Models with Continuous Rewardscited by 27
  36. 2026OmniWeaving: Towards Unified Video Generation with Free-form Composition and Reasoningcited by 27
  37. 2026VINO: A Unified Visual Generator with Interleaved OmniModal Contextcited by 26
  38. 2026PaperBanana: Automating Academic Illustration for AI Scientistscited by 26

50 most cited of 1,044 All 1,044 (JSON)