mlsanityData to 7 Oct 2026

DemoFusion: Democratising High-Resolution Image Generation With No

arXiv 2311.16973 ↗First posted 24 Nov 2023cs.CV cs.AI cs.LGcited by 105

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Cited by 70 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

High-resolution image generation with Generative Artificial Intelligence (GenAI) has immense potential but, due to the enormous capital investment required for training, it is increasingly centralised to a few large corporations, and hidden behind paywalls. This paper aims to democratise high-resolution GenAI by advancing the frontier of high-resolution generation while remaining accessible to a broad audience. We demonstrate that existing Latent Diffusion Models (LDMs) possess untapped potential for higher-resolution image generation. Our novel DemoFusion framework seamlessly extends open-source GenAI models, employing Progressive Upscaling, Skip Residual, and Dilated Sampling mechanisms to achieve higher-resolution image generation. The progressive nature of DemoFusion requires more passes, but the intermediate results can serve as "previews", facilitating rapid prompt iteration.

Key facts. Cited by 105 papers in the map (data through 7 Oct 2026). Builds on 36 of its 42 references that are in the map. First posted on arXiv 24 Nov 2023.

Builds on

36 of 42 references.

References · 36

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  3. 2020Denoising Diffusion Implicit Modelscited by 9,655
  4. 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,185
  5. 2015Deep Unsupervised Learning using Nonequilibrium Thermodynamicscited by 7,005
  6. 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,466
  7. 2023SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesiscited by 4,290
  8. 2022LAION-5B: An open large-scale dataset for training next generation image-text modelscited by 4,131
  9. 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generationcited by 3,286
  10. 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,006
  11. 2017Progressive Growing of GANs for Improved Quality, Stability, and Variationcited by 2,967
  12. 2016Improved Techniques for Training GANscited by 2,938
24 more
  1. 2022InstructPix2Pix: Learning to Follow Image Editing Instructionscited by 2,591
  2. 2022Prompt-to-Prompt Image Editing with Cross Attention Controlcited by 2,409
  3. 2022Imagen Video: High Definition Video Generation with Diffusion Modelscited by 1,765
  4. 2023T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Modelscited by 1,339
  5. 2022Magic3D: High-Resolution Text-to-3D Content Creationcited by 1,285
  6. 2022Null-text Inversion for Editing Real Images using Guided Diffusion Modelscited by 1,168
  7. 2021Cascaded Diffusion Models for High Fidelity Image Generationcited by 1,155
  8. 2015Multi-Scale Context Aggregation by Dilated Convolutionscited by 1,128
  9. 2022Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generationcited by 958
  10. 2023MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generationcited by 529
  11. 2021Designing a Practical Degradation Model for Deep Blind Image Super-Resolutioncited by 524
  12. 2023Exploiting Diffusion Prior for Real-World Image Super-Resolutioncited by 486
  13. 2023Simple diffusion: End-to-end diffusion for high resolution imagescited by 413
  14. 2022Latent Video Diffusion Models for High-Fidelity Long Video Generationcited by 385
  15. 2022Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusioncited by 309
  16. 2022Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Modelscited by 151
  17. 2023ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion Modelscited by 127
  18. 2022VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Modelscited by 112
  19. 2023TADA! Text to Animatable Digital Avatarscited by 109
  20. 2023SyncDiffusion: Coherent Montage via Synchronized Joint Diffusionscited by 108
  21. 2022Any-resolution Training for High-resolution Image Synthesiscited by 72
  22. 2023HeadSculpt: Crafting 3D Head Avatars with Textcited by 48
  23. 2023Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Imagescited by 36
  24. 2023SketchDreamer: Interactive Text-Augmented Creative Sketch Ideationcited by 10

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 3; 2024: 28; 2025: 46; 2026: 28.

105 papers.

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  1. 2024PixArt-Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generationcited by 326
  2. 2024Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation with Multimodal Generative Pretrainingcited by 148
  3. 2024Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformerscited by 137
  4. 2024Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiTcited by 130
  5. 2024UltraPixel: Advancing Ultra-High-Resolution Image Synthesis to New Peakscited by 64
  6. 2025Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Modelscited by 61
  7. 2024FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesiscited by 58
  8. 2024Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptationcited by 50
  9. 2024LinFusion: 1 GPU, 1 Minute, 16K Imagecited by 42
  10. 2023ElasticDiffusion: Training-free Arbitrary Size Image Generation through Global-Local Content Separationcited by 37
  11. 2025Training-Free Efficient Video Generation via Dynamic Token Carvingcited by 33
  12. 2024AccDiffusion: An Accurate Method for Higher-Resolution Image Generationcited by 32
38 more
  1. 2024FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusioncited by 29
  2. 2023HiDiffusion: Unlocking Higher-Resolution Creativity and Efficiency in Pretrained Diffusion Modelscited by 27
  3. 2024CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Upcited by 26
  4. 2024MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuningcited by 25
  5. 2024DynamicScaler: Seamless and Scalable Video Generation for Panoramic Scenescited by 24
  6. 2025Latent Space Super-Resolution for Higher-Resolution Image Generation with Diffusion Modelscited by 24
  7. 2024ResMaster: Mastering High-Resolution Image Generation via Structural and Fine-Grained Guidancecited by 21
  8. 2024I-Max: Maximize the Resolution Potential of Pre-trained Rectified Flow Transformers with Projected Flowcited by 21
  9. 2025HiFlow: Training-free High-Resolution Image Generation with Flow-Aligned Guidancecited by 21
  10. 2023Wired Perspectives: Multi-View Wire Art Embraces Generative AIcited by 16
  11. 2025UltraHR-100K: Enhancing UHR Image Synthesis with A Large-Scale High-Quality Datasetcited by 16
  12. 2024FreCaS: Efficient Higher-Resolution Image Generation via Frequency-aware Cascaded Samplingcited by 15
  13. 2024Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformercited by 14
  14. 2024Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Modelscited by 14
  15. 2024HiPrompt: Tuning-free Higher-Resolution Generation with Hierarchical MLLM Promptscited by 14
  16. 2024CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation Methodcited by 13
  17. 2024PartCraft: Crafting Creative Objects by Partscited by 13
  18. 2025Turbo2K: Towards Ultra-Efficient and High-Quality 2K Video Synthesiscited by 13
  19. 2025DyPE: Dynamic Position Extrapolation for Ultra High Resolution Diffusioncited by 13
  20. 2026LUVE : Latent-Cascaded Ultra-High-Resolution Video Generation with Dual Frequency Expertscited by 13
  21. 2024FAM Diffusion: Frequency and Attention Modulation for High-Resolution Image Generation with Stable Diffusioncited by 12
  22. 2025Ultra-Resolution Adaptation with Easecited by 12
  23. 2025ORIDa: Object-centric Real-world Image Composition Datasetcited by 11
  24. 2025DiVE: Efficient Multi-View Driving Scenes Generation Based on Video Diffusion Transformercited by 10
  25. 2025UltraImage: Rethinking Resolution Extrapolation in Image Diffusion Transformerscited by 10
  26. 2025HiStream: Efficient High-Resolution Video Generation via Redundancy-Eliminated Streamingcited by 8
  27. 2024FreeEnhance: Tuning-Free Image Enhancement via Content-Consistent Noising-and-Denoising Processcited by 6
  28. 2024RepLDM: Reprogramming Pretrained Latent Diffusion Models for High-Quality, High-Efficiency, High-Resolution Image Generationcited by 6
  29. 2025Latent Wavelet Diffusion For Ultra-High-Resolution Image Synthesiscited by 6
  30. 2025SuperGen: An Efficient Ultra-high-resolution Video Generation System with Sketching and Tilingcited by 6
  31. 2025FreeSwim: Revisiting Sliding-Window Attention Mechanisms for Training-Free Ultra-High-Resolution Video Generationcited by 6
  32. 2025Latent Swap Joint Diffusion for 2D Long-Form Latent Generationcited by 5
  33. 2025Ultra-High-Resolution Image Synthesis: Data, Method and Evaluationcited by 5
  34. 2025HiWave: Training-Free High-Resolution Image Generation via Wavelet-Based Diffusion Samplingcited by 5
  35. 2025DAM-VSR: Disentanglement of Appearance and Motion for Video Super-Resolutioncited by 5
  36. 2025ScaleDiff: Higher-Resolution Image Synthesis via Efficient and Model-Agnostic Diffusioncited by 5
  37. 2024GroundUp: Rapid Sketch-Based 3D City Massingcited by 4
  38. 2024Multi-Scale Diffusion: Enhancing Spatial Layout in High-Resolution Panoramic Image Generationcited by 4

50 most cited of 105 All 105 (JSON)

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  1. 2024DiffuseHigh: Training-free Progressive High-Resolution Image Synthesis through Structure Guidance
  2. 2025InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis
  3. 2023Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models
  4. 2022Elucidating the Design Space of Diffusion-Based Generative Models
  5. 2023State of the Art on Diffusion Models for Visual Computing
  6. 2024PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher
  7. 2024From Noise to Nuance: Advances in Deep Generative Image Models
  8. 2024Arbitrary-Scale Image Generation and Upsampling using Latent Diffusion Model and Implicit Neural Decoder