mlsanityData to 7 Oct 2026

Pixel Recursive Super Resolution

arXiv 1702.00783 ↗First posted 2 Feb 2017cs.CV cs.LGcited by 44

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Abstract (arXiv)

We present a pixel recursive super resolution model that synthesizes realistic details into images while enhancing their resolution. A low resolution image may correspond to multiple plausible high resolution images, thus modeling the super resolution process with a pixel independent conditional model often results in averaging different details--hence blurry edges. By contrast, our model is able to represent a multimodal conditional distribution by properly modeling the statistical dependencies among the high resolution image pixels, conditioned on a low resolution input. We employ a PixelCNN architecture to define a strong prior over natural images and jointly optimize this prior with a deep conditioning convolutional network. Human evaluations indicate that samples from our proposed model look more photo realistic than a strong L2 regression baseline.

Key facts. Cited by 44 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Feb 2017.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 9; 2022: 11; 2023: 11; 2024: 5; 2025: 4; 2026: 4.

44 papers.

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  1. 2021Image Super-Resolution via Iterative Refinementcited by 1,506
  2. 2021Palette: Image-to-Image Diffusion Modelscited by 1,296
  3. 2023SinSR: Diffusion-Based Image Super-Resolution in a Single Stepcited by 235
  4. 2023I2SB: Image-to-Image Schr"odinger Bridgecited by 214
  5. 2023Generative Diffusion Prior for Unified Image Restoration and Enhancementcited by 198
  6. 2022Generative Modelling With Inverse Heat Dissipationcited by 164
  7. 2022Learning Enriched Features for Fast Image Restoration and Enhancementcited by 150
  8. 2024Video Interpolation with Diffusion Modelscited by 67
  9. 2023Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wildcited by 46
  10. 2024Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restorationcited by 32
  11. 2021A Comprehensive Review of Deep Learning-based Single Image Super-resolutioncited by 23
  12. 2021Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamicscited by 19
32 more
  1. 2022GLEAN: Generative Latent Bank for Image Super-Resolution and Beyondcited by 19
  2. 2025EDEN: Enhanced Diffusion for High-quality Large-motion Video Frame Interpolationcited by 19
  3. 2022High Dynamic Range and Super-Resolution from Raw Image Burstscited by 18
  4. 2024Binarized Diffusion Model for Image Super-Resolutioncited by 18
  5. 2022DriftRec: Adapting diffusion models to blind JPEG restorationcited by 15
  6. 2021Real-World Super-Resolution of Face-Images from Surveillance Camerascited by 11
  7. 2021PR-RRN: Pairwise-Regularized Residual-Recursive Networks for Non-rigid Structure-from-Motioncited by 9
  8. 2025Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignmentcited by 8
  9. 2023Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolutioncited by 7
  10. 2023The Perception-Robustness Tradeoff in Deterministic Image Restorationcited by 7
  11. 2025FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clientscited by 7
  12. 2021Pro-UIGAN: Progressive Face Hallucination from Occluded Thumbnailscited by 4
  13. 2022Label-only Model Inversion Attack: The Attack that Requires the Least Informationcited by 4
  14. 2022Time-lapse image classification using a diffractive neural networkcited by 4
  15. 2023A Diffusion-based Method for Multi-turn Compositional Image Generationcited by 4
  16. 2023PartDiff: Image Super-resolution with Partial Diffusion Modelscited by 4
  17. 2023PEAN: A Diffusion-Based Prior-Enhanced Attention Network for Scene Text Image Super-Resolutioncited by 4
  18. 2022Single Image Super-Resolution Methods: A Surveycited by 3
  19. 2024Perceptual Fairness in Image Restorationcited by 2
  20. 2026UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenderscited by 2
  21. 2021Swap-Free Fat-Water Separation in Dixon MRI using Conditional Generative Adversarial Networkscited by 1
  22. 2022An Analysis of Generative Methods for Multiple Image Inpaintingcited by 1
  23. 2022A Comparative Study on 1.5T-3T MRI Conversion through Deep Neural Network Modelscited by 1
  24. 2021SDA-GAN: Unsupervised Image Translation Using Spectral Domain Attention-Guided Generative Adversarial Networkcited by 0
  25. 2022Latent Multi-Relation Reasoning for GAN-Prior based Image Super-Resolutioncited by 0
  26. 2023Efficient Halftoning via Deep Reinforcement Learningcited by 0
  27. 2023Face Image Quality Enhancement Study for Face Recognitioncited by 0
  28. 2024Diffusion Models to Enhance the Resolution of Microscopy Images: A Tutorialcited by 0
  29. 2025EatGAN: An Edge-Attention Guided Generative Adversarial Network for Single Image Super-Resolutioncited by 0
  30. 2026LPNSR: Learnable Noise Prediction for Diffusion-Based Image Super-Resolutioncited by 0
  31. 2026CIAR: Interval-based Collaborative Decoding for Image Generation Accelerationcited by 0
  32. 2026Electric Potential Patterns Forecasting in the Southern Hemisphere with Deep Learning Techniquescited by 0