Data to 7 Oct 2026

One-Sided Unsupervised Domain Mapping

arXiv 1706.00826 ↗First posted 2 Jun 2017cs.CVcited by 91

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Abstract (arXiv)

In unsupervised domain mapping, the learner is given two unmatched datasets A and B. The goal is to learn a mapping GAB that translates a sample in A to the analog sample in B. Recent approaches have shown that when learning simultaneously both GAB and the inverse mapping GBA, convincing mappings are obtained. In this work, we present a method of learning GAB without learning GBA. This is done by learning a mapping that maintains the distance between a pair of samples. Moreover, good mappings are obtained, even by maintaining the distance between different parts of the same sample before and after mapping. We present experimental results that the new method not only allows for one sided mapping learning, but also leads to preferable numerical results over the existing circularity-based constraint. Our entire code is made publicly available at https://github.com/sagiebenaim/DistanceGAN .

Key facts. Cited by 91 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Jun 2017.

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Citing papers per year: 2021: 21; 2022: 17; 2023: 29; 2024: 13; 2025: 8; 2026: 3.

91 papers.

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2021Few-shot Image Generation via Cross-domain Correspondencecited by 206
2022EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equationscited by 172
2022Neural Optimal Transportcited by 123
2021Image-to-Image Translation: Methods and Applicationscited by 116
2023Unpaired Image-to-Image Translation via Neural Schr"odinger Bridgecited by 96
2021DG-Font: Deformable Generative Networks for Unsupervised Font Generationcited by 70
2021The Spatially-Correlative Loss for Various Image Translation Taskscited by 66
2021Dual Contrastive Learning for Unsupervised Image-to-Image Translationcited by 65
2021Multimodal Image Synthesis and Editing: The Generative AI Eracited by 52
2023Contrastive Denoising Score for Text-guided Latent Diffusion Image Editingcited by 49
2021A Survey on Deep Domain Adaptation for LiDAR Perceptioncited by 46
2021Instance-wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translationcited by 45

38 more

2022Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Taskscited by 42
2022QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translationcited by 39
2022One-Shot Adaptation of GAN in Just One CLIPcited by 31
2023CF-Font: Content Fusion for Few-shot Font Generationcited by 26
2022Modulated Contrast for Versatile Image Synthesiscited by 23
2021Robustness via Uncertainty-aware Cycle Consistencycited by 16
2021Few-shot Image Generation with Mixup-based Distance Learningcited by 16
2022ITTR: Unpaired Image-to-Image Translation with Transformerscited by 15
2023Scenimefy: Learning to Craft Anime Scene via Semi-Supervised Image-to-Image Translationcited by 15
2021Knowledge Distillation Methods for Efficient Unsupervised Adaptation Across Multiple Domainscited by 14
2021Unaligned Image-to-Image Translation by Learning to Reweightcited by 13
2022Unpaired Image Translation via Vector Symbolic Architecturescited by 13
2023SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translationcited by 13
2023Spectral Normalization and Dual Contrastive Regularization for Image-to-Image Translationcited by 11
2023Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic Segmentationcited by 11
2021Physics-informed Guided Disentanglement in Generative Networkscited by 9
2023Exploring Semantic Consistency in Unpaired Image Translation to Generate Data for Surgical Applicationscited by 9
2024Towards Robust Event-based Networks for Nighttime via Unpaired Day-to-Night Event Translationcited by 9
2021USIS: Unsupervised Semantic Image Synthesiscited by 8
2021TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasetscited by 7
2021Using Out-of-the-Box Frameworks for Contrastive Unpaired Image Translation for Vestibular Schwannoma and Cochlea Segmentation: An approach for the crossMoDA Challengecited by 7
2024The Dawn of KAN in Image-to-Image (I2I) Translation: Integrating Kolmogorov-Arnold Networks with GANs for Unpaired I2I Translationcited by 7
2022Exploring Negatives in Contrastive Learning for Unpaired Image-to-Image Translationcited by 6
2024Every Pixel Has its Moments: Ultra-High-Resolution Unpaired Image-to-Image Translation via Dense Normalizationcited by 6
2025CycleDiff: Cycle Diffusion Models for Unpaired Image-to-image Translationcited by 6
2021Deep Learning-based Frozen Section to FFPE Translationcited by 5
2022ROMA: Cross-Domain Region Similarity Matching for Unpaired Nighttime Infrared to Daytime Visible Video Translationcited by 5
2022Ultra-high-resolution unpaired stain transformation via Kernelized Instance Normalizationcited by 5
2023Multi-cropping Contrastive Learning and Domain Consistency for Unsupervised Image-to-Image Translationcited by 5
2025Deterministic Image-to-Image Translation via Denoising Brownian Bridge Models with Dual Approximatorscited by 5
2021Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervisioncited by 4
2022Stay Positive: Non-Negative Image Synthesis for Augmented Realitycited by 4
2023Towards Pragmatic Semantic Image Synthesis for Urban Scenescited by 4
2023CryoGEM: Physics-Informed Generative Cryo-Electron Microscopycited by 4
2023Patch-wise Graph Contrastive Learning for Image Translationcited by 4
2024SurgicaL-CD: Generating Surgical Images via Unpaired Image Translation with Latent Consistency Diffusion Modelscited by 4
2025Single-Step Bidirectional Unpaired Image Translation Using Implicit Bridge Consistency Distillationcited by 4
2021Uncertainty-aware Generalized Adaptive CycleGANcited by 3

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