mlsanityData to 7 Oct 2026

Artistic style transfer for videos

arXiv 1604.08610 ↗First posted 28 Apr 2016cs.CVcited by 54

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Abstract (arXiv)

In the past, manually re-drawing an image in a certain artistic style required a professional artist and a long time. Doing this for a video sequence single-handed was beyond imagination. Nowadays computers provide new possibilities. We present an approach that transfers the style from one image (for example, a painting) to a whole video sequence. We make use of recent advances in style transfer in still images and propose new initializations and loss functions applicable to videos. This allows us to generate consistent and stable stylized video sequences, even in cases with large motion and strong occlusion. We show that the proposed method clearly outperforms simpler baselines both qualitatively and quantitatively.

Key facts. Cited by 54 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Apr 2016.

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Citing papers per year: 2021: 7; 2022: 8; 2023: 17; 2024: 16; 2025: 4; 2026: 2.

54 papers.

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  1. 2023Structure and Content-Guided Video Synthesis with Diffusion Modelscited by 589
  2. 2023Pix2Video: Video Editing using Image Diffusioncited by 318
  3. 2022Text2LIVE: Text-Driven Layered Image and Video Editingcited by 312
  4. 2023StableVideo: Text-driven Consistency-aware Diffusion Video Editingcited by 182
  5. 2022NeRF-Art: Text-Driven Neural Radiance Fields Stylizationcited by 126
  6. 2021M2TR: Multi-modal Multi-scale Transformers for Deepfake Detectioncited by 114
  7. 2023CoDeF: Content Deformation Fields for Temporally Consistent Video Processingcited by 108
  8. 2024StopThePop: Sorted Gaussian Splatting for View-Consistent Real-time Renderingcited by 107
  9. 2022UPST-NeRF: Universal Photorealistic Style Transfer of Neural Radiance Fields for 3D Scenecited by 47
  10. 2024Deep Learning-based Image and Video Inpainting: A Surveycited by 44
  11. 2021Meta-Learning Dynamics Forecasting Using Task Inferencecited by 37
  12. 2021ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similaritycited by 34
38 more
  1. 2024A survey of synthetic data augmentation methods in computer visioncited by 34
  2. 2024VideoGigaGAN: Towards Detail-rich Video Super-Resolutioncited by 30
  3. 2021Temporally Consistent Video Colorization with Deep Feature Propagation and Self-regularization Learningcited by 22
  4. 2022Deep Video Prior for Video Consistency and Propagationcited by 18
  5. 2022StyleFool: Fooling Video Classification Systems via Style Transfercited by 18
  6. 2023Style-A-Video: Agile Diffusion for Arbitrary Text-based Video Style Transfercited by 14
  7. 2021Diverse Generation from a Single Video Made Possiblecited by 13
  8. 2023RIGID: Recurrent GAN Inversion and Editing of Real Face Videoscited by 13
  9. 2021VCGAN: Video Colorization with Hybrid Generative Adversarial Networkcited by 12
  10. 2022StyleBabel: Artistic Style Tagging and Captioningcited by 12
  11. 2024Intelligent Artistic Typography: A Comprehensive Review of Artistic Text Design and Generationcited by 9
  12. 2024StyleRF-VolVis: Style Transfer of Neural Radiance Fields for Expressive Volume Visualizationcited by 9
  13. 2023Advances in 3D Neural Stylization: A Surveycited by 8
  14. 2024MVOC: a training-free multiple video object composition method with diffusion modelscited by 8
  15. 2026VISTA: Triplet-Supervised Video Style Transfer with Diffusion Transformerscited by 8
  16. 2024NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video Editingcited by 7
  17. 2023Instruct-Video2Avatar: Video-to-Avatar Generation with Instructionscited by 6
  18. 2022Learning Temporally and Semantically Consistent Unpaired Video-to-video Translation Through Pseudo-Supervision From Synthetic Optical Flowcited by 5
  19. 2023Dyn-E: Local Appearance Editing of Dynamic Neural Radiance Fieldscited by 5
  20. 2023LAENeRF: Local Appearance Editing for Neural Radiance Fieldscited by 5
  21. 2023InfoStyler: Disentanglement Information Bottleneck for Artistic Style Transfercited by 4
  22. 2024Evaluation in Neural Style Transfer: A Reviewcited by 4
  23. 2023Instant Photorealistic Neural Radiance Fields Stylizationcited by 3
  24. 2024Video to Video Generative Adversarial Network for Few-shot Learning Based on Policy Gradientcited by 3
  25. 2024UnDIVE: Generalized Underwater Video Enhancement Using Generative Priorscited by 3
  26. 2025Stylos: Multi-View 3D Stylization with Single-Forward Gaussian Splattingcited by 3
  27. 2023MOSAIC: Multi-Object Segmented Arbitrary Stylization Using CLIPcited by 2
  28. 2023Neural Style Transfer for Computer Gamescited by 2
  29. 2023StyleCrafter: Enhancing Stylized Text-to-Video Generation with Style Adaptercited by 2
  30. 2024Ada-VE: Training-Free Consistent Video Editing Using Adaptive Motion Priorcited by 2
  31. 2022Scaling Painting Style Transfercited by 1
  32. 2024Improved Object-Based Style Transfer with Single Deep Networkcited by 1
  33. 2024G3DST: Generalizing 3D Style Transfer with Neural Radiance Fields across Scenes and Stylescited by 1
  34. 2025Iris Style Transfer: Enhancing Iris Recognition with Style Features and Privacy Preservation through Neural Style Transfercited by 1
  35. 2021A Learned Compact and Editable Light Field Representationcited by 0
  36. 2023WAIT: Feature Warping for Animation to Illustration video Translation using GANscited by 0
  37. 2023ConVRT: Consistent Video Restoration Through Turbulence with Test-time Optimization of Neural Video Representationscited by 0
  38. 2024HiCAST: Highly Customized Arbitrary Style Transfer with Adapter Enhanced Diffusion Modelscited by 0

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