mlsanityData to 7 Oct 2026

Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution

arXiv 1704.03915 ↗First posted 12 Apr 2017cs.CVcited by 452

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Cited by 21 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Convolutional neural networks have recently demonstrated high-quality reconstruction for single-image super-resolution. In this paper, we propose the Laplacian Pyramid Super-Resolution Network (LapSRN) to progressively reconstruct the sub-band residuals of high-resolution images. At each pyramid level, our model takes coarse-resolution feature maps as input, predicts the high-frequency residuals, and uses transposed convolutions for upsampling to the finer level. Our method does not require the bicubic interpolation as the pre-processing step and thus dramatically reduces the computational complexity. We train the proposed LapSRN with deep supervision using a robust Charbonnier loss function and achieve high-quality reconstruction. Furthermore, our network generates multi-scale predictions in one feed-forward pass through the progressive reconstruction, thereby facilitates resource-aware applications. Extensive quantitative and qualitative evaluations on benchmark datasets show that the proposed algorithm performs favorably against the state-of-the-art methods in terms of speed and accuracy.

Key facts. Cited by 452 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Apr 2017.

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Citing papers per year: 2020: 1; 2021: 122; 2022: 100; 2023: 83; 2024: 70; 2025: 46; 2026: 30.

452 papers.

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  1. 2021SwinIR: Image Restoration Using Swin Transformercited by 1,869
  2. 2021Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Datacited by 961
  3. 2021Designing a Practical Degradation Model for Deep Blind Image Super-Resolutioncited by 524
  4. 2022Activating More Pixels in Image Super-Resolution Transformercited by 433
  5. 2023ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shiftingcited by 360
  6. 2024MambaIR: A Simple Baseline for Image Restoration with State-Space Modelcited by 349
  7. 2021Towards Real-World Blind Face Restoration with Generative Facial Priorcited by 347
  8. 2021BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignmentcited by 340
  9. 2022MAXIM: Multi-Axis MLP for Image Processingcited by 301
  10. 2022FlowFormer: A Transformer Architecture for Optical Flowcited by 273
  11. 2023Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylizationcited by 251
  12. 2021ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Biascited by 216
38 more
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  2. 2023Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfercited by 194
  3. 2022Efficient Long-Range Attention Network for Image Super-resolutioncited by 151
  4. 2022Learning Enriched Features for Fast Image Restoration and Enhancementcited by 150
  5. 2023Efficient and Explicit Modelling of Image Hierarchies for Image Restorationcited by 145
  6. 2021Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Predictioncited by 137
  7. 2021Investigating Tradeoffs in Real-World Video Super-Resolutioncited by 133
  8. 2022ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyondcited by 117
  9. 2023FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimationcited by 114
  10. 2024FeatUp: A Model-Agnostic Framework for Features at Any Resolutioncited by 114
  11. 2024Bilateral Reference for High-Resolution Dichotomous Image Segmentationcited by 112
  12. 2022VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolutioncited by 101
  13. 2021LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and Beyondcited by 88
  14. 2022Accurate Image Restoration with Attention Retractable Transformercited by 85
  15. 2021Deep Burst Super-Resolutioncited by 83
  16. 2023VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimationcited by 82
  17. 2021ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristiccited by 81
  18. 2021MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolutioncited by 79
  19. 2021Fourier Space Losses for Efficient Perceptual Image Super-Resolutioncited by 72
  20. 2022Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restorationcited by 72
  21. 2022Rethinking Alignment in Video Super-Resolution Transformerscited by 71
  22. 2022CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolutioncited by 69
  23. 2022SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolutioncited by 67
  24. 2021Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classificationcited by 66
  25. 2021Burst Image Restoration and Enhancementcited by 64
  26. 2024Efficient Diffusion Model for Image Restoration by Residual Shiftingcited by 64
  27. 2021High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Networkcited by 61
  28. 2022Learning Trajectory-Aware Transformer for Video Super-Resolutioncited by 61
  29. 2021Explore Image Deblurring via Blur Kernel Spacecited by 58
  30. 2023Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolutioncited by 56
  31. 2021Temporal Modulation Network for Controllable Space-Time Video Super-Resolutioncited by 54
  32. 2022Residual Local Feature Network for Efficient Super-Resolutioncited by 53
  33. 2021Adversarial Text-to-Image Synthesis: A Reviewcited by 52
  34. 2021NTIRE 2021 Challenge on Image Deblurringcited by 49
  35. 2021An Arbitrary Scale Super-Resolution Approach for 3D MR Images via Implicit Neural Representationcited by 47
  36. 2022Deep Constrained Least Squares for Blind Image Super-Resolutioncited by 47
  37. 2021Implicit Transformer Network for Screen Content Image Continuous Super-Resolutioncited by 46
  38. 2023Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wildcited by 46

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