mlsanityData to 7 Oct 2026

Deep Photo Style Transfer

arXiv 1703.07511 ↗First posted 22 Mar 2017cs.CVcited by 168

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Abstract (arXiv)

This paper introduces a deep-learning approach to photographic style transfer that handles a large variety of image content while faithfully transferring the reference style. Our approach builds upon the recent work on painterly transfer that separates style from the content of an image by considering different layers of a neural network. However, as is, this approach is not suitable for photorealistic style transfer. Even when both the input and reference images are photographs, the output still exhibits distortions reminiscent of a painting. Our contribution is to constrain the transformation from the input to the output to be locally affine in colorspace, and to express this constraint as a custom fully differentiable energy term. We show that this approach successfully suppresses distortion and yields satisfying photorealistic style transfers in a broad variety of scenarios, including transfer of the time of day, weather, season, and artistic edits.

Key facts. Cited by 168 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Mar 2017.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 49; 2022: 35; 2023: 33; 2024: 23; 2025: 16; 2026: 12.

168 papers.

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  1. 2022BBDM: Image-to-image Translation with Brownian Bridge Diffusion Modelscited by 222
  2. 2021EditGAN: High-Precision Semantic Image Editingcited by 156
  3. 2023StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Modelscited by 154
  4. 2022ARF: Artistic Radiance Fieldscited by 147
  5. 2022Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalizationcited by 122
  6. 2021NeRF for Outdoor Scene Relightingcited by 114
  7. 2024Measuring Style Similarity in Diffusion Modelscited by 106
  8. 2023A Comprehensive Survey on Source-free Domain Adaptationcited by 104
  9. 2023Expressive Text-to-Image Generation with Rich Textcited by 89
  10. 2021Enhancing Photorealism Enhancementcited by 74
  11. 2021The Spatially-Correlative Loss for Various Image Translation Taskscited by 66
  12. 2021Multi-Modal 3D Object Detection in Autonomous Driving: a Surveycited by 63
38 more
  1. 2021Making Images Real Again: A Comprehensive Survey on Deep Image Compositioncited by 63
  2. 2022MagicMix: Semantic Mixing with Diffusion Modelscited by 63
  3. 2021High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Networkcited by 61
  4. 2021SSH: A Self-Supervised Framework for Image Harmonizationcited by 60
  5. 2022Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patchescited by 57
  6. 2024LightIt: Illumination Modeling and Control for Diffusion Modelscited by 56
  7. 2021Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigationcited by 53
  8. 2021Self-supervised Outdoor Scene Relightingcited by 48
  9. 2021BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generationcited by 47
  10. 2022UPST-NeRF: Universal Photorealistic Style Transfer of Neural Radiance Fields for 3D Scenecited by 47
  11. 2021Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Expertscited by 46
  12. 2022CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfercited by 46
  13. 2021Instance-wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translationcited by 45
  14. 2022Face Relighting with Geometrically Consistent Shadowscited by 43
  15. 2021Towards High Fidelity Face Relighting with Realistic Shadowscited by 42
  16. 2021Domain-Aware Universal Style Transfercited by 40
  17. 2021Image-Based CLIP-Guided Essence Transfercited by 39
  18. 2021Language-Driven Image Style Transfercited by 36
  19. 2023Neural Preset for Color Style Transfercited by 36
  20. 2024A survey of synthetic data augmentation methods in computer visioncited by 34
  21. 2021Visualizing Adapted Knowledge in Domain Transfercited by 32
  22. 2024Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Drivingcited by 32
  23. 2022FIFO: Learning Fog-invariant Features for Foggy Scene Segmentationcited by 31
  24. 2021Style-Aware Normalized Loss for Improving Arbitrary Style Transfercited by 30
  25. 2021PhotoWCT2: Compact Autoencoder for Photorealistic Style Transfer Resulting from Blockwise Training and Skip Connections of High-Frequency Residualscited by 30
  26. 2025OmniStyle: Filtering High Quality Style Transfer Data at Scalecited by 30
  27. 2022EleGANt: Exquisite and Locally Editable GAN for Makeup Transfercited by 28
  28. 2023CAP-VSTNet: Content Affinity Preserved Versatile Style Transfercited by 24
  29. 2022Neural Neighbor Style Transfercited by 23
  30. 2022On the Road to Online Adaptation for Semantic Image Segmentationcited by 23
  31. 2023Locally Stylized Neural Radiance Fieldscited by 20
  32. 2021Weather GAN: Multi-Domain Weather Translation Using Generative Adversarial Networkscited by 18
  33. 2021Structure-Preserving Image Super-Resolutioncited by 18
  34. 2022XMP-Font: Self-Supervised Cross-Modality Pre-training for Few-Shot Font Generationcited by 18
  35. 2022QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelitycited by 18
  36. 2024Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approachcited by 18
  37. 2021PSGAN++: Robust Detail-Preserving Makeup Transfer and Removalcited by 17
  38. 2024Geometry Transfer for Stylizing Radiance Fieldscited by 16

50 most cited of 168 All 168 (JSON)