mlsanityData to 7 Oct 2026

Cross-domain Correspondence Learning for Exemplar-based Image Translation

arXiv 2004.05571 ↗First posted 12 Apr 2020cs.CV cs.GR eess.IVcited by 116

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Abstract (arXiv)

We present a general framework for exemplar-based image translation, which synthesizes a photo-realistic image from the input in a distinct domain (e.g., semantic segmentation mask, or edge map, or pose keypoints), given an exemplar image. The output has the style (e.g., color, texture) in consistency with the semantically corresponding objects in the exemplar. We propose to jointly learn the crossdomain correspondence and the image translation, where both tasks facilitate each other and thus can be learned with weak supervision. The images from distinct domains are first aligned to an intermediate domain where dense correspondence is established. Then, the network synthesizes images based on the appearance of semantically corresponding patches in the exemplar. We demonstrate the effectiveness of our approach in several image translation tasks. Our method is superior to state-of-the-art methods in terms of image quality significantly, with the image style faithful to the exemplar with semantic consistency. Moreover, we show the utility of our method for several applications

Key facts. Cited by 116 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Apr 2020.

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Citing papers per year: 2021: 34; 2022: 40; 2023: 27; 2024: 12; 2025: 1; 2026: 2.

116 papers.

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  1. 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,466
  2. 2022Paint by Example: Exemplar-based Image Editing with Diffusion Modelscited by 489
  3. 2021Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentationcited by 268
  4. 2022EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equationscited by 172
  5. 2022Pretraining is All You Need for Image-to-Image Translationcited by 160
  6. 2021Image-to-Image Translation: Methods and Applicationscited by 116
  7. 2022Person Image Synthesis via Denoising Diffusion Modelcited by 104
  8. 2021Breaking the Dilemma of Medical Image-to-image Translationcited by 82
  9. 2021PD-GAN: Probabilistic Diverse GAN for Image Inpaintingcited by 80
  10. 2023Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Modelscited by 62
  11. 2023ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulationcited by 59
  12. 2021Towards Vivid and Diverse Image Colorization with Generative Color Priorcited by 55
38 more
  1. 2022Neural Texture Extraction and Distribution for Controllable Person Image Synthesiscited by 55
  2. 2021Multimodal Image Synthesis and Editing: The Generative AI Eracited by 52
  3. 2023Going Denser with Open-Vocabulary Part Segmentationcited by 51
  4. 2021Diverse Semantic Image Synthesis via Probability Distribution Modelingcited by 49
  5. 2023Photoswap: Personalized Subject Swapping in Imagescited by 47
  6. 2022Cross Attention Based Style Distribution for Controllable Person Image Synthesiscited by 45
  7. 2021Unbalanced Feature Transport for Exemplar-based Image Translationcited by 41
  8. 2023GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videoscited by 39
  9. 2023GlyphDraw: Seamlessly Rendering Text with Intricate Spatial Structures in Text-to-Image Generationcited by 34
  10. 2023Towards Garment Sewing Pattern Reconstruction from a Single Imagecited by 33
  11. 2021SketchEdit: Mask-Free Local Image Manipulation with Partial Sketchescited by 32
  12. 2023General Image-to-Image Translation with One-Shot Image Guidancecited by 31
  13. 20213D Pose Transfer with Correspondence Learning and Mesh Refinementcited by 30
  14. 2022InstaFormer: Instance-Aware Image-to-Image Translation with Transformercited by 28
  15. 2022Multi-Granularity Alignment Domain Adaptation for Object Detectioncited by 28
  16. 2023MaskSketch: Unpaired Structure-guided Masked Image Generationcited by 27
  17. 2021ICON: Learning Regular Maps Through Inverse Consistencycited by 26
  18. 2022Eliminating Gradient Conflict in Reference-based Line-Art Colorizationcited by 25
  19. 2023Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Stylecited by 25
  20. 2022DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generationcited by 24
  21. 2021SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removalcited by 22
  22. 2022MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translationcited by 22
  23. 2023Exploring the Naturalness of AI-Generated Imagescited by 22
  24. 2021Semi-supervised Synthesis of High-Resolution Editable Textures for 3D Humanscited by 21
  25. 2022Unsupervised 3D Pose Transfer with Cross Consistency and Dual Reconstructioncited by 21
  26. 2023Diffusion Model for Dense Matchingcited by 21
  27. 2021Bi-level Feature Alignment for Versatile Image Translation and Manipulationcited by 20
  28. 2022Few-Shot Head Swapping in the Wildcited by 20
  29. 2022Marginal Contrastive Correspondence for Guided Image Generationcited by 19
  30. 2023DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic Segmentationcited by 19
  31. 2021CT-Net: Complementary Transfering Network for Garment Transfer with Arbitrary Geometric Changescited by 17
  32. 2022All-to-key Attention for Arbitrary Style Transfercited by 16
  33. 2024Geometry Transfer for Stylizing Radiance Fieldscited by 16
  34. 2021Learning Realistic Human Reposing using Cyclic Self-Supervision with 3D Shape, Pose, and Appearance Consistencycited by 15
  35. 2022UnGANable: Defending Against GAN-based Face Manipulationcited by 15
  36. 2021Facial-Sketch Synthesis: A New Challengecited by 13
  37. 2024SwapAnything: Enabling Arbitrary Object Swapping in Personalized Visual Editingcited by 13
  38. 2021Total Generate: Cycle in Cycle Generative Adversarial Networks for Generating Human Faces, Hands, Bodies, and Natural Scenescited by 12

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