mlsanityData to 7 Oct 2026

StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement

arXiv 2107.12898 ↗First posted 27 Jul 2021cs.CVcited by 32

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Abstract (arXiv)

Image enhancement is a subjective process whose targets vary with user preferences. In this paper, we propose a deep learning-based image enhancement method covering multiple tonal styles using only a single model dubbed StarEnhancer. It can transform an image from one tonal style to another, even if that style is unseen. With a simple one-time setting, users can customize the model to make the enhanced images more in line with their aesthetics. To make the method more practical, we propose a well-designed enhancer that can process a 4K-resolution image over 200 FPS but surpasses the contemporaneous single style image enhancement methods in terms of PSNR, SSIM, and LPIPS. Finally, our proposed enhancement method has good interactability, which allows the user to fine-tune the enhanced image using intuitive options.

Key facts. Cited by 32 papers in the map (data through 7 Oct 2026). Builds on 37 of its 53 references that are in the map. First posted on arXiv 27 Jul 2021.

Builds on

37 of 53 references.

References · 37

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
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  3. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,160
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  11. 2017Arbitrary Style Transfer in Real-time with Adaptive Instance Normalizationcited by 1,998
  12. 2017ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devicescited by 1,194
25 more
  1. 2019StarGAN v2: Diverse Image Synthesis for Multiple Domainscited by 1,095
  2. 2017StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translationcited by 1,036
  3. 2018CosFace: Large Margin Cosine Loss for Deep Face Recognitioncited by 968
  4. 2017SphereFace: Deep Hypersphere Embedding for Face Recognitioncited by 733
  5. 2018Deep Retinex Decomposition for Low-Light Enhancementcited by 720
  6. 2020Zero-Reference Deep Curve Estimation for Low-Light Image Enhancementcited by 541
  7. 2019EnlightenGAN: Deep Light Enhancement without Paired Supervisioncited by 466
  8. 2019Kindling the Darkness: A Practical Low-light Image Enhancercited by 355
  9. 2020Learning Enriched Features for Real Image Restoration and Enhancementcited by 311
  10. 2017NormFace: L2 Hypersphere Embedding for Face Verificationcited by 237
  11. 2015LLNet: A Deep Autoencoder Approach to Natural Low-light Image Enhancementcited by 224
  12. 2017Deep Bilateral Learning for Real-Time Image Enhancementcited by 200
  13. 2019Fixup Initialization: Residual Learning Without Normalizationcited by 194
  14. 2020Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-timecited by 163
  15. 2020DeepLPF: Deep Local Parametric Filters for Image Enhancementcited by 107
  16. 2020Conditional Sequential Modulation for Efficient Global Image Retouchingcited by 71
  17. 2020Deep White-Balance Editingcited by 54
  18. 2018Distort-and-Recover: Color Enhancement using Deep Reinforcement Learningcited by 52
  19. 2017Fast Image Processing with Fully-Convolutional Networkscited by 41
  20. 2019Supervised and Unsupervised Learning of Parameterized Color Enhancementcited by 16
  21. 2020Flexible Piecewise Curves Estimation for Photo Enhancementcited by 13
  22. 2020Deep Bilateral Retinex for Low-Light Image Enhancementcited by 5
  23. 2019Convolutional Neural Networks Considering Local and Global features for Image Enhancementcited by 4
  24. 2020Flexible Example-based Image Enhancement with Task Adaptive Global Feature Self-Guided Networkcited by 3
  25. 2020Multiple Generative Adversarial Networks Analysis for Predicting Photographers' Retouchingcited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 2; 2022: 11; 2023: 7; 2024: 3; 2025: 6; 2026: 3.

32 papers.

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  1. 2022AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-time Image Enhancementcited by 70
  2. 2022SepLUT: Separable Image-adaptive Lookup Tables for Real-time Image Enhancementcited by 50
  3. 2023A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film Enhancementcited by 22
  4. 2023RSFNet: A White-Box Image Retouching Approach using Region-Specific Color Filterscited by 15
  5. 2024DiffRetouch: Using Diffusion to Retouch on the Shoulder of Expertscited by 14
  6. 2022Single UHD Image Dehazing via Interpretable Pyramid Networkcited by 13
  7. 2023Aleth-NeRF: Low-light Condition View Synthesis with Concealing Fieldscited by 9
  8. 2025PhotoArtAgent: Intelligent Photo Retouching with Language Model-Based Artist Agentscited by 9
  9. 2022Learning Diverse Tone Styles for Image Retouchingcited by 8
  10. 2022AdaCM: Adaptive ColorMLP for Real-Time Universal Photo-realistic Style Transfercited by 7
  11. 2023Personalized Image Enhancement Featuring Masked Style Modelingcited by 6
  12. 2025PerTouch: VLM-Driven Agent for Personalized and Semantic Image Retouchingcited by 6
20 more
  1. 2022Enhancement by Your Aesthetic: An Intelligible Unsupervised Personalized Enhancer for Low-Light Imagescited by 5
  2. 2022Distilling Style from Image Pairs for Global Forward and Inverse Tone Mappingcited by 5
  3. 2023Generalized Lightness Adaptation with Channel Selective Normalizationcited by 4
  4. 2025Discovering an Image-Adaptive Coordinate System for Photography Processingcited by 4
  5. 2022Multi-Curve Translator for High-Resolution Photorealistic Image Translationcited by 3
  6. 2025CameraMaster: Unified Camera Semantic-Parameter Control for Photography Retouchingcited by 3
  7. 2021SpaceEdit: Learning a Unified Editing Space for Open-Domain Image Editingcited by 2
  8. 2023Region-Aware Portrait Retouching with Sparse Interactive Guidancecited by 2
  9. 2023Crowd-Powered Photo Enhancement Featuring an Active Learning Based Local Filtercited by 2
  10. 2024Unveiling Advanced Frequency Disentanglement Paradigm for Low-Light Image Enhancementcited by 2
  11. 2025Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancementcited by 2
  12. 2021Learning Pixel-Adaptive Weights for Portrait Photo Retouchingcited by 1
  13. 2022Mutual Guidance and Residual Integration for Image Enhancementcited by 1
  14. 2022Cascade Luminance and Chrominance for Image Retouching: More Like Artistcited by 0
  15. 2022Explaining Image Enhancement Black-Box Methods through a Path Planning Based Algorithmcited by 0
  16. 2024Multi-Exposure Image Fusion via Distilled 3D LUT Grid with Editable Modecited by 0
  17. 2025Content-Adaptive Image Retouching Guided by Attribute-Based Text Representationcited by 0
  18. 2026Deep Analog: Open-Set Film Emulation with Reference-Conditioned 3D LUTscited by 0
  19. 2026Dotting the Eye: An Intent-Driven Image Retouching Agent for Visual Focus Enhancementcited by 0
  20. 2026PrefLUT: Reusable and Refinable Personalized Color Editing from Pairwise Preferencescited by 0