Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer
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Abstract (arXiv)
Artistic style transfer aims at migrating the style from an example image to a content image. Currently, optimization-based methods have achieved great stylization quality, but expensive time cost restricts their practical applications. Meanwhile, feed-forward methods still fail to synthesize complex style, especially when holistic global and local patterns exist. Inspired by the common painting process of drawing a draft and revising the details, we introduce a novel feed-forward method named Laplacian Pyramid Network (LapStyle). LapStyle first transfers global style patterns in low-resolution via a Drafting Network. It then revises the local details in high-resolution via a Revision Network, which hallucinates a residual image according to the draft and the image textures extracted by Laplacian filtering. Higher resolution details can be easily generated by stacking Revision Networks with multiple Laplacian pyramid levels. The final stylized image is obtained by aggregating outputs of all pyramid levels. %We also introduce a patch discriminator to better learn local patterns adversarially. Experiments demonstrate that our method can synthesize high quality stylized images in real time, where holistic style patterns are properly transferred.
Key facts. Cited by 41 papers in the map (data through 7 Oct 2026). Builds on 31 of its 39 references that are in the map. First posted on arXiv 12 Apr 2021.
Builds on
31 of 39 references.
References · 31
- 2014Adam: A Method for Stochastic Optimizationcited by 36,960
- 2014Microsoft COCO: Common Objects in Contextcited by 17,498
- 2016Perceptual Losses for Real-Time Style Transfer and Super-Resolutioncited by 2,678
- 2017Arbitrary Style Transfer in Real-time with Adaptive Instance Normalizationcited by 1,998
- 2016Instance Normalization: The Missing Ingredient for Fast Stylizationcited by 1,187
- 2017Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolutioncited by 452
- 2017Universal Style Transfer via Feature Transformscited by 352
- 2019SinGAN: Learning a Generative Model from a Single Natural Imagecited by 348
- 2016A Learned Representation For Artistic Stylecited by 340
- 2017Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesiscited by 215
- 2015Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networkscited by 214
- 2018Arbitrary Style Transfer with Style-Attentional Networkscited by 197
19 more
- 2016Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networkscited by 192
- 2016Texture Networks: Feed-forward Synthesis of Textures and Stylized Imagescited by 173
- 2019Style Transfer by Relaxed Optimal Transport and Self-Similaritycited by 167
- 2019Photorealistic Style Transfer via Wavelet Transformscited by 166
- 2018A Closed-form Solution to Photorealistic Image Stylizationcited by 133
- 2017Visual Attribute Transfer through Deep Image Analogycited by 123
- 2018Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decorationcited by 115
- 2016Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesiscited by 102
- 2016Controlling Perceptual Factors in Neural Style Transfercited by 99
- 2017Coherent Online Video Style Transfercited by 96
- 2016Fast Patch-based Style Transfer of Arbitrary Stylecited by 92
- 2017StyleBank: An Explicit Representation for Neural Image Style Transfercited by 89
- 2018Arbitrary Style Transfer with Deep Feature Reshufflecited by 75
- 2017Stable and Controllable Neural Texture Synthesis and Style Transfer Using Histogram Lossescited by 69
- 2017Multi-style Generative Network for Real-time Transfercited by 61
- 2017Diversified Texture Synthesis with Feed-forward Networkscited by 59
- 2016Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfercited by 30
- 2016Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworkscited by 22
- 2018Stereoscopic Neural Style Transfercited by 15
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Citing papers per year: 2021: 4; 2022: 11; 2023: 19; 2024: 4; 2025: 2; 2026: 1.
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- 2021StyTr2: Image Style Transfer with Transformerscited by 186
- 2023StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Modelscited by 154
- 2021Paint Transformer: Feed Forward Neural Painting with Stroke Predictioncited by 61
- 2021High-Resolution Image Harmonization via Collaborative Dual Transformationscited by 55
- 2022CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfercited by 46
- 2022DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylizationcited by 45
- 2022AesUST: Towards Aesthetic-Enhanced Universal Style Transfercited by 21
- 2024One-Shot Diffusion Mimicker for Handwritten Text Generationcited by 20
- 2022MicroAST: Towards Super-Fast Ultra-Resolution Arbitrary Style Transfercited by 19
- 2023Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaboratecited by 17
- 2023InstaStyle: Inversion Noise of a Stylized Image is Secretly a Style Advisercited by 17
- 2022S2WAT: Image Style Transfer via Hierarchical Vision Transformer using Strips Window Attentioncited by 14
29 more
- 2022Single UHD Image Dehazing via Interpretable Pyramid Networkcited by 13
- 2021Texture Reformer: Towards Fast and Universal Interactive Texture Transfercited by 12
- 2023Two Birds, One Stone: A Unified Framework for Joint Learning of Image and Video Style Transferscited by 12
- 2023StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-Scale Generative Modelcited by 10
- 2022Industrial Style Transfer with Large-scale Geometric Warping and Content Preservationcited by 9
- 2023NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistencycited by 7
- 2022Image Harmonization by Matching Regional Referencescited by 6
- 2023ArtFusion: Controllable Arbitrary Style Transfer using Dual Conditional Latent Diffusion Modelscited by 4
- 2023InfoStyler: Disentanglement Information Bottleneck for Artistic Style Transfercited by 4
- 2023SpectralCLIP: Preventing Artifacts in Text-Guided Style Transfer from a Spectral Perspectivecited by 3
- 2023AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfercited by 3
- 2022Laplacian Pyramid-like Autoencodercited by 2
- 2023A Laplacian Pyramid Based Generative H&E Stain Augmentation Networkcited by 2
- 2023TSSAT: Two-Stage Statistics-Aware Transformation for Artistic Style Transfercited by 2
- 2024SRAGAN: Saliency Regularized and Attended Generative Adversarial Network for Chinese Ink-wash Painting Style Transfercited by 2
- 2022Interactive Style Transfer: All is Your Palettecited by 1
- 2023Controlling Neural Style Transfer with Deep Reinforcement Learningcited by 1
- 2025RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generationcited by 1
- 2022Arbitrary Style Transfer with Structure Enhancement by Combining the Global and Local Losscited by 0
- 2023Edge Enhanced Image Style Transfer via Transformerscited by 0
- 2023Few-shot Face Image Translation via GAN Prior Distillationcited by 0
- 2023Texturize a GAN Using a Single Imagecited by 0
- 2023RL-I2IT: Image-to-Image Translation with Deep Reinforcement Learningcited by 0
- 2023An easy zero-shot learning combination: Texture Sensitive Semantic Segmentation IceHrNet and Advanced Style Transfer Learning Strategycited by 0
- 2023Painterly Image Harmonization via Adversarial Residual Learningcited by 0
- 2024DLP-GAN: learning to draw modern Chinese landscape photos with generative adversarial networkcited by 0
- 2024RoNet: Rotation-oriented Continuous Image Translationcited by 0
- 2025Coarse-to-Fine Structure-Aware Artistic Style Transfercited by 0
- 2026LEMMA: Laplacian pyramids for Efficient Marine SeMAntic Segmentationcited by 0
- 2026LEMMA: Laplacian pyramids for Efficient Marine SeMAntic Segmentation26 Mar 2026
- 2025RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation7 May 2025
- 2025Coarse-to-Fine Structure-Aware Artistic Style Transfer8 Feb 2025
- 2024One-Shot Diffusion Mimicker for Handwritten Text Generation6 Sep 2024
- 2024SRAGAN: Saliency Regularized and Attended Generative Adversarial Network for Chinese Ink-wash Painting Style Transfer24 Apr 2024
- 2024RoNet: Rotation-oriented Continuous Image Translation6 Apr 2024
- 2024DLP-GAN: learning to draw modern Chinese landscape photos with generative adversarial network6 Mar 2024
- 2023AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer10 Dec 2023
- 2023InstaStyle: Inversion Noise of a Stylized Image is Secretly a Style Adviser25 Nov 2023
- 2023Painterly Image Harmonization via Adversarial Residual Learning15 Nov 2023
- 2023Controlling Neural Style Transfer with Deep Reinforcement Learning30 Sep 2023
- 2023An easy zero-shot learning combination: Texture Sensitive Semantic Segmentation IceHrNet and Advanced Style Transfer Learning Strategy30 Sep 2023
29 more
- 2023RL-I2IT: Image-to-Image Translation with Deep Reinforcement Learning24 Sep 2023
- 2023TSSAT: Two-Stage Statistics-Aware Transformation for Artistic Style Transfer12 Sep 2023
- 2023StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models15 Aug 2023
- 2023InfoStyler: Disentanglement Information Bottleneck for Artistic Style Transfer30 Jul 2023
- 2023NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency29 Jun 2023
- 2023ArtFusion: Controllable Arbitrary Style Transfer using Dual Conditional Latent Diffusion Models15 Jun 2023
- 2023A Laplacian Pyramid Based Generative H&E Stain Augmentation Network23 May 2023
- 2023Two Birds, One Stone: A Unified Framework for Joint Learning of Image and Video Style Transfers22 Apr 2023
- 2023Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate19 Apr 2023
- 2023SpectralCLIP: Preventing Artifacts in Text-Guided Style Transfer from a Spectral Perspective16 Mar 2023
- 2023StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-Scale Generative Model16 Mar 2023
- 2023Texturize a GAN Using a Single Image21 Feb 2023
- 2023Few-shot Face Image Translation via GAN Prior Distillation28 Jan 2023
- 2023Edge Enhanced Image Style Transfer via Transformers2 Jan 2023
- 2022MicroAST: Towards Super-Fast Ultra-Resolution Arbitrary Style Transfer28 Nov 2022
- 2022DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization19 Nov 2022
- 2022S2WAT: Image Style Transfer via Hierarchical Vision Transformer using Strips Window Attention22 Oct 2022
- 2022AesUST: Towards Aesthetic-Enhanced Universal Style Transfer27 Aug 2022
- 2022Laplacian Pyramid-like Autoencoder26 Aug 2022
- 2022Arbitrary Style Transfer with Structure Enhancement by Combining the Global and Local Loss23 Jul 2022
- 2022CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer11 Jul 2022
- 2022Image Harmonization by Matching Regional References10 Apr 2022
- 2022Interactive Style Transfer: All is Your Palette25 Mar 2022
- 2022Industrial Style Transfer with Large-scale Geometric Warping and Content Preservation24 Mar 2022
- 2022Single UHD Image Dehazing via Interpretable Pyramid Network17 Feb 2022
- 2021Texture Reformer: Towards Fast and Universal Interactive Texture Transfer6 Dec 2021
- 2021High-Resolution Image Harmonization via Collaborative Dual Transformations14 Sep 2021
- 2021Paint Transformer: Feed Forward Neural Painting with Stroke Prediction9 Aug 2021
- 2021StyTr2: Image Style Transfer with Transformers30 May 2021
- 2021StyTr2: Image Style Transfer with Transformerscited by 186
- 2021Paint Transformer: Feed Forward Neural Painting with Stroke Predictioncited by 61
- 2021High-Resolution Image Harmonization via Collaborative Dual Transformationscited by 55
- 2022CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfercited by 46
- 2022DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylizationcited by 45
- 2022AesUST: Towards Aesthetic-Enhanced Universal Style Transfercited by 21
- 2024One-Shot Diffusion Mimicker for Handwritten Text Generationcited by 20
- 2022MicroAST: Towards Super-Fast Ultra-Resolution Arbitrary Style Transfercited by 19
- 2023Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaboratecited by 17
- 2022S2WAT: Image Style Transfer via Hierarchical Vision Transformer using Strips Window Attentioncited by 14
- 2022Single UHD Image Dehazing via Interpretable Pyramid Networkcited by 13
- 2021Texture Reformer: Towards Fast and Universal Interactive Texture Transfercited by 12
12 most cited of 37 All 37 (JSON)
- 2026LEMMA: Laplacian pyramids for Efficient Marine SeMAntic Segmentation26 Mar 2026
- 2025RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation7 May 2025
- 2025Coarse-to-Fine Structure-Aware Artistic Style Transfer8 Feb 2025
- 2024One-Shot Diffusion Mimicker for Handwritten Text Generation6 Sep 2024
- 2024SRAGAN: Saliency Regularized and Attended Generative Adversarial Network for Chinese Ink-wash Painting Style Transfer24 Apr 2024
- 2024RoNet: Rotation-oriented Continuous Image Translation6 Apr 2024
- 2024DLP-GAN: learning to draw modern Chinese landscape photos with generative adversarial network6 Mar 2024
- 2023AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer10 Dec 2023
- 2023Painterly Image Harmonization via Adversarial Residual Learning15 Nov 2023
- 2023Controlling Neural Style Transfer with Deep Reinforcement Learning30 Sep 2023
- 2023An easy zero-shot learning combination: Texture Sensitive Semantic Segmentation IceHrNet and Advanced Style Transfer Learning Strategy30 Sep 2023
- 2023RL-I2IT: Image-to-Image Translation with Deep Reinforcement Learning24 Sep 2023
12 newest of 37 All 37 (JSON)