mlsanityData to 7 Oct 2026

Generative Powers of Ten

arXiv 2312.02149 ↗First posted 4 Dec 2023cs.CV cs.AI cs.CLcited by 15

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Abstract (arXiv)

We present a method that uses a text-to-image model to generate consistent content across multiple image scales, enabling extreme semantic zooms into a scene, e.g., ranging from a wide-angle landscape view of a forest to a macro shot of an insect sitting on one of the tree branches. We achieve this through a joint multi-scale diffusion sampling approach that encourages consistency across different scales while preserving the integrity of each individual sampling process. Since each generated scale is guided by a different text prompt, our method enables deeper levels of zoom than traditional super-resolution methods that may struggle to create new contextual structure at vastly different scales. We compare our method qualitatively with alternative techniques in image super-resolution and outpainting, and show that our method is most effective at generating consistent multi-scale content.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). Builds on 26 of its 31 references that are in the map. First posted on arXiv 4 Dec 2023.

Builds on

26 of 31 references.

References · 26

  1. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  2. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  3. 2020Denoising Diffusion Implicit Modelscited by 9,655
  4. 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 8,964
  5. 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,185
  6. 2015Deep Unsupervised Learning using Nonequilibrium Thermodynamicscited by 7,005
  7. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,539
  8. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,322
  9. 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,466
  10. 2019Generative Modeling by Estimating Gradients of the Data Distributioncited by 4,067
  11. 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generationcited by 3,286
  12. 2022InstructPix2Pix: Learning to Follow Image Editing Instructionscited by 2,591
14 more
  1. 2022Prompt-to-Prompt Image Editing with Cross Attention Controlcited by 2,409
  2. 2021Image Super-Resolution via Iterative Refinementcited by 1,506
  3. 2021Palette: Image-to-Image Diffusion Modelscited by 1,296
  4. 2022Pseudo Numerical Methods for Diffusion Models on Manifoldscited by 695
  5. 2023MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generationcited by 529
  6. 2023Diffusion Self-Guidance for Controllable Image Generationcited by 305
  7. 2020Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Imagecited by 239
  8. 2023HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Modelscited by 224
  9. 2023MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusioncited by 210
  10. 2023State of the Art on Diffusion Models for Visual Computingcited by 126
  11. 2023SyncDiffusion: Coherent Montage via Synchronized Joint Diffusionscited by 108
  12. 2023DiffCollage: Parallel Generation of Large Content with Diffusion Modelscited by 100
  13. 2022InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Imagescited by 82
  14. 2023RealFill: Reference-Driven Generation for Authentic Image Completioncited by 58

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Citing papers per year: 2024: 5; 2025: 6; 2026: 4.

15 papers.

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  1. 2026Semantic Browsing: Controllable Diversity for Image Generation
  2. 2024Prompt-Consistency Image Generation (PCIG): A Unified Framework Integrating LLMs, Knowledge Graphs, and Controllable Diffusion Models
  3. 2024Training-free Composite Scene Generation for Layout-to-Image Synthesis
  4. 2025HCMA: Hierarchical Cross-model Alignment for Grounded Text-to-Image Generation
  5. 2024GenesisTex2: Stable, Consistent and High-Quality Text-to-Texture Generation
  6. 2025Setting the Stage: Text-Driven Scene-Consistent Image Generation
  7. 2026MACRO: Advancing Multi-Reference Image Generation with Structured Long-Context Data
  8. 2024Generative Photography: Scene-Consistent Camera Control for Realistic Text-to-Image Synthesis