mlsanityData to 14 Oct 2026

SinDDM: A Single Image Denoising Diffusion Model

arXiv 2211.16582 ↗First posted 29 Nov 2022cs.CV cs.LG eess.IVcited by 60

On the map: Diffusion models → Diffusion foundations and sampling

Abstract (arXiv)

Denoising diffusion models (DDMs) have led to staggering performance leaps in image generation, editing and restoration. However, existing DDMs use very large datasets for training. Here, we introduce a framework for training a DDM on a single image. Our method, which we coin SinDDM, learns the internal statistics of the training image by using a multi-scale diffusion process. To drive the reverse diffusion process, we use a fully-convolutional light-weight denoiser, which is conditioned on both the noise level and the scale. This architecture allows generating samples of arbitrary dimensions, in a coarse-to-fine manner. As we illustrate, SinDDM generates diverse high-quality samples, and is applicable in a wide array of tasks, including style transfer and harmonization. Furthermore, it can be easily guided by external supervision. Particularly, we demonstrate text-guided generation from a single image using a pre-trained CLIP model.

Key facts. Cited by 60 papers in the map (data through 14 Oct 2026). Placed in Diffusion foundations and sampling, one of 14 directions in Diffusion models. Builds on 31 of its 35 references that are in the map. First posted on arXiv 29 Nov 2022.

Builds on

31 of 35 references.

Closest ancestors · 6

Same direction, newest first

  1. 2022SinDiffusion: Learning a Diffusion Model from a Single Natural Image22 Nov
  2. 2021High-Resolution Image Synthesis with Latent Diffusion Models20 Dec
  3. 2021Diffusion Models Beat GANs on Image Synthesis11 May
  4. 2021Improved Denoising Diffusion Probabilistic Models18 Feb
  5. 2020Denoising Diffusion Implicit Models6 Oct
  6. 2020Denoising Diffusion Probabilistic Models19 Jun

Other references · 25

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
  2. 2015Deep Unsupervised Learning using Nonequilibrium Thermodynamicscited by 7,058
  3. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,585
  4. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,355
  5. 2022Generative Adversarial Networkscited by 5,627
  6. 2021GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Modelscited by 3,614
  7. 2022An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversioncited by 2,245
  8. 2021SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equationscited by 1,937
  9. 2022Imagen Video: High Definition Video Generation with Diffusion Modelscited by 1,778
  10. 2021Image Super-Resolution via Iterative Refinementcited by 1,511
  11. 2021Palette: Image-to-Image Diffusion Modelscited by 1,300
  12. 2021MUSIQ: Multi-scale Image Quality Transformercited by 1,081
13 more
  1. 2022StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasetscited by 492
  2. 2017NIMA: Neural Image Assessmentcited by 389
  3. 2019SinGAN: Learning a Generative Model from a Single Natural Imagecited by 348
  4. 2022Text2LIVE: Text-Driven Layered Image and Video Editingcited by 312
  5. 2020Improved Techniques for Training Single-Image GANscited by 78
  6. 2022Any-resolution Training for High-resolution Image Synthesiscited by 72
  7. 2022SinFusion: Training Diffusion Models on a Single Image or Videocited by 58
  8. 2021Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Modelscited by 51
  9. 2020Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Samplecited by 43
  10. 2022Learning to Generate 3D Shapes from a Single Examplecited by 31
  11. 2022Generating natural images with direct Patch Distributions Matchingcited by 27
  12. 2021Catch-A-Waveform: Learning to Generate Audio from a Single Short Examplecited by 15
  13. 2021SinIR: Efficient General Image Manipulation with Single Image Reconstructioncited by 13

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 1; 2023: 20; 2024: 16; 2025: 14; 2026: 9.

60 papers.

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  1. 2023Text-to-image Diffusion Models in Generative AI: A Surveycited by 265
  2. 2023Implicit Diffusion Models for Continuous Super-Resolutioncited by 218
  3. 2023Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Modelscited by 133
  4. 2023Single Motion Diffusioncited by 65
  5. 2024I2EBench: A Comprehensive Benchmark for Instruction-based Image Editingcited by 63
  6. 2023Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generationcited by 37
  7. 2024Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generationcited by 33
  8. 2023Controllable Mind Visual Diffusion Modelcited by 30
  9. 2023Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shapecited by 29
  10. 2024Distilling Semantic Priors from SAM to Efficient Image Restoration Modelscited by 25
  11. 2024Hierarchical Patch Diffusion Models for High-Resolution Video Generationcited by 24
  12. 2023ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Processcited by 20
38 more
  1. 2023A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shotcited by 19
  2. 2023Stimulating Diffusion Model for Image Denoising via Adaptive Embedding and Ensemblingcited by 17
  3. 2024Urban Architect: Steerable 3D Urban Scene Generation with Layout Priorcited by 17
  4. 2025Does Generation Require Memorization? Creative Diffusion Models using Ambient Diffusioncited by 17
  5. 2024Self-Supervision Improves Diffusion Models for Tabular Data Imputationcited by 16
  6. 2024Spectral Image Tokenizercited by 15
  7. 2022Seeing a Rose in Five Thousand Wayscited by 13
  8. 2025H3AE: High Compression, High Speed, and High Quality AutoEncoder for Video Diffusion Modelscited by 13
  9. 2025GeoGen: A Two-stage Coarse-to-Fine Framework for Fine-grained Synthetic Location-based Social Network Trajectory Generationcited by 12
  10. 2023IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Promptscited by 11
  11. 2023Single Mesh Diffusion Models with Field Latents for Texture Generationcited by 11
  12. 2024Diffusion Models in 3D Vision: A Surveycited by 11
  13. 2024Generative Artificial Intelligence Assisted Wireless Sensing: Human Flow Detection in Practical Communication Environmentscited by 10
  14. 2023Image Synthesis under Limited Data: A Survey and Taxonomycited by 9
  15. 2023Deep Internal Learning: Deep Learning from a Single Inputcited by 9
  16. 2023Score-based Source Separation with Applications to Digital Communication Signalscited by 8
  17. 2024Few-shot Defect Image Generation based on Consistency Modelingcited by 8
  18. 2025TextEditBench: Evaluating Reasoning-aware Text Editing Beyond Renderingcited by 8
  19. 2023Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Modelscited by 7
  20. 2024X-Oscar: A Progressive Framework for High-quality Text-guided 3D Animatable Avatar Generationcited by 5
  21. 2023ToddlerDiffusion: Interactive Structured Image Generation with Cascaded Schr"odinger Bridgecited by 4
  22. 2026SynHAT: A Two-stage Coarse-to-Fine Diffusion Framework for Synthesizing Human Activity Tracescited by 4
  23. 2024Latent Representation Matters: Human-like Sketches in One-shot Drawing Taskscited by 3
  24. 2025ShapeShifter: 3D Variations Using Multiscale and Sparse Point-Voxel Diffusioncited by 3
  25. 2023Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Datacited by 2
  26. 2025TriTex: Learning Texture from a Single Mesh via Triplane Semantic Featurescited by 2
  27. 2025Learning Deblurring Texture Prior from Unpaired Data with Diffusion Modelcited by 2
  28. 2025Masked Diffusion Language Models with Frequency-Informed Trainingcited by 2
  29. 2023Infusion: internal diffusion for inpainting of dynamic textures and complex motioncited by 1
  30. 2023Leveraging Graph Diffusion Models for Network Refinement Taskscited by 1
  31. 2024Exploring Text-Guided Single Image Editing for Remote Sensing Imagescited by 1
  32. 2024Towards Practical Single-shot Motion Synthesiscited by 1
  33. 2025HALO: Human-Aligned End-to-end Image Retargeting with Layered Transformationscited by 1
  34. 2026StructDiff: A Structure-Preserving and Spatially Controllable Diffusion Model for Single-Image Generationcited by 1
  35. 2026Efficient and Training-Free Single-Image Diffusion Modelscited by 1
  36. 2024Beyond the Visible: Jointly Attending to Spectral and Spatial Dimensions with HSI-Diffusion for the FINCH Spacecraftcited by 0
  37. 2024Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognitioncited by 0
  38. 2025AI-Augmented Thyroid Scintigraphy for Robust Classification of Diseasecited by 0

50 most cited of 60 All 60 (JSON)

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  1. 2023Denoising Diffusion Bridge Models
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  3. 2025Generalized Denoising Diffusion Codebook Models (gDDCM): Tokenizing images using a pre-trained diffusion model
  4. 2024Directly Denoising Diffusion Models
  5. 2023Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations
  6. 2023Restoration based Generative Models
  7. 2026Improved Distributional Diffusion Models
  8. 2021Bilateral Denoising Diffusion Models