mlsanityData to 7 Oct 2026

Deformable Style Transfer

arXiv 2003.11038 ↗First posted 24 Mar 2020cs.CV cs.GR cs.LGcited by 31

Not on the map. Why?

Abstract (arXiv)

Both geometry and texture are fundamental aspects of visual style. Existing style transfer methods, however, primarily focus on texture, almost entirely ignoring geometry. We propose deformable style transfer (DST), an optimization-based approach that jointly stylizes the texture and geometry of a content image to better match a style image. Unlike previous geometry-aware stylization methods, our approach is neither restricted to a particular domain (such as human faces), nor does it require training sets of matching style/content pairs. We demonstrate our method on a diverse set of content and style images including portraits, animals, objects, scenes, and paintings. Code has been made publicly available at https://github.com/sunniesuhyoung/DST.

Key facts. Cited by 31 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Mar 2020.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 8; 2022: 7; 2023: 8; 2024: 6; 2025: 1; 2026: 1.

31 papers.

Sort:

By area:

  1. 2022Splicing ViT Features for Semantic Appearance Transfercited by 209
  2. 2021The Spatially-Correlative Loss for Various Image Translation Taskscited by 66
  3. 2021JoJoGAN: One Shot Face Stylizationcited by 49
  4. 2022ArtFID: Quantitative Evaluation of Neural Style Transfercited by 49
  5. 2021Rethinking Style Transfer: From Pixels to Parameterized Brushstrokescited by 42
  6. 2021Image-Based CLIP-Guided Essence Transfercited by 39
  7. 2024A survey of synthetic data augmentation methods in computer visioncited by 34
  8. 2023DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion Modelscited by 33
  9. 2022EleGANt: Exquisite and Locally Editable GAN for Makeup Transfercited by 28
  10. 2022SNeRF: Stylized Neural Implicit Representations for 3D Scenescited by 26
  11. 2021Facial Attribute Transformers for Precise and Robust Makeup Transfercited by 17
  12. 20213DCaricShop: A Dataset and A Baseline Method for Single-view 3D Caricature Face Reconstructioncited by 16
19 more
  1. 2024Geometry Transfer for Stylizing Radiance Fieldscited by 16
  2. 2024Deformable One-shot Face Stylization via DINO Semantic Guidancecited by 14
  3. 2021Texture Reformer: Towards Fast and Universal Interactive Texture Transfercited by 12
  4. 2022Industrial Style Transfer with Large-scale Geometric Warping and Content Preservationcited by 9
  5. 2023DeformToon3D: Deformable 3D Toonification from Neural Radiance Fieldscited by 9
  6. 2023SPAC-Net: Synthetic Pose-aware Animal ControlNet for Enhanced Pose Estimationcited by 6
  7. 2023Instruct-Video2Avatar: Video-to-Avatar Generation with Instructionscited by 6
  8. 2024DiffArtist: Towards Structure and Appearance Controllable Image Stylizationcited by 6
  9. 2023DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfercited by 5
  10. 2023Disentangling Structure and Appearance in ViT Feature Spacecited by 5
  11. 2023AlteredAvatar: Stylizing Dynamic 3D Avatars with Fast Style Adaptationcited by 4
  12. 2026FaceRefiner: High-Fidelity Facial Texture Refinement with Differentiable Rendering-based Style Transfercited by 3
  13. 2022Realtime Data-Efficient Portrait Stylization Based On Geometric Alignmentcited by 1
  14. 2022DSI2I: Dense Style for Unpaired Image-to-Image Translationcited by 1
  15. 2024Artificial Intelligence for Geometry-Based Feature Extraction, Analysis and Synthesis in Artistic Images: A Surveycited by 1
  16. 2025UStyle: Waterbody Style Transfer of Underwater Scenes by Depth-Guided Feature Synthesiscited by 1
  17. 2021Non-Parametric Neural Style Transfercited by 0
  18. 2023One-Shot Stylization for Full-Body Human Imagescited by 0
  19. 2024Neural-Polyptych: Content Controllable Painting Recreation for Diverse Genrescited by 0