mlsanityData to 7 Oct 2026

TSIT: A Simple and Versatile Framework for Image-to-Image Translation

arXiv 2007.12072 ↗First posted 23 Jul 2020cs.CV cs.LG eess.IVcited by 64

Not on the map. Why?

Abstract (arXiv)

We introduce a simple and versatile framework for image-to-image translation. We unearth the importance of normalization layers, and provide a carefully designed two-stream generative model with newly proposed feature transformations in a coarse-to-fine fashion. This allows multi-scale semantic structure information and style representation to be effectively captured and fused by the network, permitting our method to scale to various tasks in both unsupervised and supervised settings. No additional constraints (e.g., cycle consistency) are needed, contributing to a very clean and simple method. Multi-modal image synthesis with arbitrary style control is made possible. A systematic study compares the proposed method with several state-of-the-art task-specific baselines, verifying its effectiveness in both perceptual quality and quantitative evaluations.

Key facts. Cited by 64 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Jul 2020.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 18; 2022: 12; 2023: 18; 2024: 5; 2025: 9; 2026: 2.

64 papers.

Sort:

By area:

  1. 2022EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equationscited by 172
  2. 2023Aria Digital Twin: A New Benchmark Dataset for Egocentric 3D Machine Perceptioncited by 166
  3. 2021Image-to-Image Translation: Methods and Applicationscited by 116
  4. 2022Learning to generate line drawings that convey geometry and semanticscited by 82
  5. 2021Enhancing Photorealism Enhancementcited by 74
  6. 2022Back to the Source: Diffusion-Driven Test-Time Adaptationcited by 71
  7. 2021The Spatially-Correlative Loss for Various Image Translation Taskscited by 66
  8. 2021Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Datacited by 53
  9. 2023Synthetic Datasets for Autonomous Driving: A Surveycited by 48
  10. 2021Image Synthesis via Semantic Compositioncited by 45
  11. 2022ClimateNeRF: Extreme Weather Synthesis in Neural Radiance Fieldcited by 37
  12. 2021Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularizationcited by 36
38 more
  1. 2025OmniNWM: Omniscient Driving Navigation World Modelscited by 32
  2. 2022InstaFormer: Instance-Aware Image-to-Image Translation with Transformercited by 28
  3. 2021CoMoGAN: continuous model-guided image-to-image translationcited by 27
  4. 2023Reliability in Semantic Segmentation: Can We Use Synthetic Data?cited by 24
  5. 2023StyleGANEX: StyleGAN-Based Manipulation Beyond Cropped Aligned Facescited by 19
  6. 2022FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANscited by 17
  7. 2022Unsupervised Image-to-Image Translation with Generative Priorcited by 16
  8. 2023Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image Restoration in Under-Display Cameracited by 16
  9. 2023Scenimefy: Learning to Craft Anime Scene via Semi-Supervised Image-to-Image Translationcited by 15
  10. 2021Facial-Sketch Synthesis: A New Challengecited by 13
  11. 2023SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translationcited by 13
  12. 2025A Diffusion Model Translator for Efficient Image-to-Image Translationcited by 12
  13. 2021Physics-informed Guided Disentanglement in Generative Networkscited by 9
  14. 2023GP-UNIT: Generative Prior for Versatile Unsupervised Image-to-Image Translationcited by 9
  15. 2021Layout-to-Image Translation with Double Pooling Generative Adversarial Networkscited by 8
  16. 2022Local and Global GANs with Semantic-Aware Upsampling for Image Generationcited by 8
  17. 2022GPS-GLASS: Learning Nighttime Semantic Segmentation Using Daytime Video and GPS datacited by 7
  18. 2022Dual Pyramid Generative Adversarial Networks for Semantic Image Synthesiscited by 7
  19. 2021ManiFest: Manifold Deformation for Few-shot Image Translationcited by 6
  20. 2021Enhance Images as You Like with Unpaired Learningcited by 5
  21. 2024360PanT: Training-Free Text-Driven 360-Degree Panorama-to-Panorama Translationcited by 4
  22. 2025MuTri: Multi-view Tri-alignment for OCT to OCTA 3D Image Translationcited by 4
  23. 2021UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Repscited by 3
  24. 2021Panoptic-aware Image-to-Image Translationcited by 3
  25. 2022Generative Modeling of High-resolution Global Precipitation Forecastscited by 3
  26. 2023SHUNIT: Style Harmonization for Unpaired Image-to-Image Translationcited by 3
  27. 2023S2ST: Image-to-Image Translation in the Seed Space of Latent Diffusioncited by 3
  28. 2025Bridging Scales in Map Generation: A scale-aware cascaded generative mapping framework for seamless and consistent multi-scale cartographic representationcited by 3
  29. 2021Multi-Target Domain Adaptation via Unsupervised Domain Classification for Weather Invariant Object Detectioncited by 2
  30. 2021Spatial Content Alignment For Pose Transfercited by 2
  31. 2023Learning to Generate Training Datasets for Robust Semantic Segmentationcited by 2
  32. 2023Masked Discriminators for Content-Consistent Unpaired Image-to-Image Translationcited by 2
  33. 2021Geometry-Aware Unsupervised Domain Adaptation for Stereo Matchingcited by 1
  34. 2021Graph2Pix: A Graph-Based Image to Image Translation Frameworkcited by 1
  35. 2023Unpaired Translation from Semantic Label Maps to Images by Leveraging Domain-Specific Simulationscited by 1
  36. 2023Panoramic Image-to-Image Translationcited by 1
  37. 2023Generative Adversarial Shaders for Real-Time Realism Enhancementcited by 1
  38. 2023Semantic RGB-D Image Synthesiscited by 1

50 most cited of 64 All 64 (JSON)