mlsanityData to 7 Oct 2026

Pyramidal Denoising Diffusion Probabilistic Models

arXiv 2208.01864 ↗First posted 3 Aug 2022cs.CV cs.LG stat.MLcited by 22

On the map: Diffusion models → Diffusion foundations and sampling

Abstract (arXiv)

Recently, diffusion model have demonstrated impressive image generation performances, and have been extensively studied in various computer vision tasks. Unfortunately, training and evaluating diffusion models consume a lot of time and computational resources. To address this problem, here we present a novel pyramidal diffusion model that can generate high resolution images starting from much coarser resolution images using a em single score function trained with a positional embedding. This enables a neural network to be much lighter and also enables time-efficient image generation without compromising its performances. Furthermore, we show that the proposed approach can be also efficiently used for multi-scale super-resolution problem using a single score function.

Key facts. Cited by 22 papers in the map (data through 7 Oct 2026). Placed in Diffusion foundations and sampling, one of 14 directions in Diffusion models. Builds on 39 of its 46 references that are in the map. First posted on arXiv 3 Aug 2022.

Builds on

39 of 46 references.

Closest ancestors · 14

Same direction, newest first

  1. 2022Subspace Diffusion Generative Models3 May
  2. 2022Pseudo Numerical Methods for Diffusion Models on Manifolds20 Feb
  3. 2021High-Resolution Image Synthesis with Latent Diffusion Models20 Dec
  4. 2021Tackling the Generative Learning Trilemma with Denoising Diffusion GANs15 Dec
  5. 2021ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models6 Aug
  6. 2021Score-based Generative Modeling in Latent Space10 Jun
  7. 2021Cascaded Diffusion Models for High Fidelity Image Generation30 May
  8. 2021Gotta Go Fast When Generating Data with Score-Based Models28 May
  9. 2021Diffusion Models Beat GANs on Image Synthesis11 May
  10. 2021Improved Denoising Diffusion Probabilistic Models18 Feb
  11. 2020Score-Based Generative Modeling through Stochastic Differential Equations26 Nov
  12. 2020Denoising Diffusion Implicit Models6 Oct
2 more
  1. 2020Denoising Diffusion Probabilistic Models19 Jun
  2. 2020Improved Techniques for Training Score-Based Generative Models16 Jun

Other references · 25

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  3. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  4. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,267
  5. 2015Deep Unsupervised Learning using Nonequilibrium Thermodynamicscited by 7,005
  6. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,539
  7. 2013Auto-Encoding Variational Bayescited by 3,980
  8. 2021GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Modelscited by 3,595
  9. 2019Analyzing and Improving the Image Quality of StyleGANcited by 3,580
  10. 2017Progressive Growing of GANs for Improved Quality, Stability, and Variationcited by 2,967
  11. 2022Video Diffusion Modelscited by 2,280
  12. 2020Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domainscited by 2,170
13 more
  1. 2016Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Networkcited by 1,898
  2. 2018Glow: Generative Flow with Invertible 1x1 Convolutionscited by 1,539
  3. 2021Image Super-Resolution via Iterative Refinementcited by 1,506
  4. 2022RePaint: Inpainting using Denoising Diffusion Probabilistic Modelscited by 1,419
  5. 2015LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loopcited by 1,350
  6. 2019StarGAN v2: Diverse Image Synthesis for Multiple Domainscited by 1,095
  7. 2021Blended Diffusion for Text-driven Editing of Natural Imagescited by 924
  8. 2021Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contractioncited by 306
  9. 2021StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2cited by 300
  10. 2022Generating Videos with Dynamics-aware Implicit Generative Adversarial Networkscited by 186
  11. 2020Image Generators with Conditionally-Independent Pixel Synthesiscited by 105
  12. 2019COCO-GAN: Generation by Parts via Conditional Coordinatingcited by 67
  13. 2022Arbitrary-Scale Image Synthesiscited by 20

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 6; 2023: 9; 2024: 2; 2025: 4; 2026: 1.

22 papers.

Sort:

By area:

  1. 2023Generative Diffusion Prior for Unified Image Restoration and Enhancementcited by 198
  2. 2022SINE: SINgle Image Editing with Text-to-Image Diffusion Modelscited by 159
  3. 2022Soft Diffusion: Score Matching for General Corruptionscited by 101
  4. 2023DiffCollage: Parallel Generation of Large Content with Diffusion Modelscited by 100
  5. 2023Global Structure-Aware Diffusion Process for Low-Light Image Enhancementcited by 92
  6. 2023Matryoshka Diffusion Modelscited by 70
  7. 2022Efficient Diffusion Models for Vision: A Surveycited by 50
  8. 2023Improving Diffusion Models for Scene Text Editing with Dual Encoderscited by 44
  9. 2022f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformationcited by 32
  10. 2024A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Trainingcited by 30
  11. 2024Arbitrary-Scale Image Generation and Upsampling using Latent Diffusion Model and Implicit Neural Decodercited by 25
  12. 2023Diffusion Model for Dense Matchingcited by 21
10 more
  1. 2023Fast Diffusion Modelcited by 20
  2. 2022Dimensionality-Varying Diffusion Processcited by 12
  3. 2023MonoDiffusion: Self-Supervised Monocular Depth Estimation Using Diffusion Modelcited by 12
  4. 2025NAMI: Efficient Image Generation via Bridged Progressive Rectified Flow Transformerscited by 3
  5. 2025Flow Along the K-Amplitude for Generative Modelingcited by 3
  6. 2023Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Datacited by 2
  7. 2022Super-resolution Reconstruction of Single Image for Latent featurescited by 1
  8. 2025RectifiedHR: Enable Efficient High-Resolution Synthesis via Energy Rectificationcited by 1
  9. 2025Disentanglement in T-space for Faster and Distributed Training of Diffusion Models with Fewer Latent-statescited by 0
  10. 2026Constrained Flow Matching via Lagrangian Dual Flowscited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2024Ultra-High-Resolution Image Synthesis with Pyramid Diffusion Model
  2. 2023PartDiff: Image Super-resolution with Partial Diffusion Models
  3. 2023Simple diffusion: End-to-end diffusion for high resolution images
  4. 2022Diffusion Models in Vision: A Survey
  5. 2026PyramidalWan: On Making Pretrained Video Model Pyramidal for Efficient Inference
  6. 2026Efficient and Training-Free Single-Image Diffusion Models
  7. 2023Pyramid Diffusion Models For Low-light Image Enhancement
  8. 2024Diffusion Models to Enhance the Resolution of Microscopy Images: A Tutorial