Unsupervised Image-To-Image Translation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-25.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 70 papers with code (124 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
  30 Mar 2017 190 repositories listed Syntology ran 6 of 31 samples · 25 unverified · 6 pointer-only (licence)
  Image-to-image translation is a class of vision and graphics problems where the goal is to learn the mapping between an input image and an output image using a training set of aligned image pairs.
• U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation
  25 Jul 2019 28 repositories listed Syntology ran 21 of 36 samples · 15 unverified
  We propose a novel method for unsupervised image-to-image translation, which incorporates a new attention module and a new learnable normalization function in an end-to-end manner.
• Unsupervised Domain Adaptation by Backpropagation
  26 Sep 2014 22 repositories listed Syntology ran 34 of 41 samples · 7 unverified · 14 pointer-only (licence)
  Here, we propose a new approach to domain adaptation in deep architectures that can be trained on large amount of labeled data from the source domain and large amount of unlabeled data from the target domain (no labeled…
• Adversarial Discriminative Domain Adaptation
  17 Feb 2017 20 repositories listed Syntology ran 14 of 48 samples · 34 unverified · 12 pointer-only (licence)
  Adversarial learning methods are a promising approach to training robust deep networks, and can generate complex samples across diverse domains.
• Multimodal Unsupervised Image-to-Image Translation
  12 Apr 2018 13 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  To translate an image to another domain, we recombine its content code with a random style code sampled from the style space of the target domain.
• Few-Shot Unsupervised Image-to-Image Translation
  5 May 2019 10 repositories listed Syntology ran 5 of 7 samples · 2 unverified
  Unsupervised image-to-image translation methods learn to map images in a given class to an analogous image in a different class, drawing on unstructured (non-registered) datasets of images.
• Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation
  28 Mar 2019 9 repositories listed
  To handle the limitation, in this paper we propose a novel Attention-Guided Generative Adversarial Network (AGGAN), which can detect the most discriminative semantic object and minimize changes of unwanted part for…
• Unsupervised Image-to-Image Translation Networks
  2 Mar 2017 8 repositories listed Syntology ran 1 of 9 samples · 8 unverified · 1 pointer-only (licence)
  Unsupervised image-to-image translation aims at learning a joint distribution of images in different domains by using images from the marginal distributions in individual domains.
• Unsupervised Cross-Domain Image Generation
  7 Nov 2016 6 repositories listed Syntology ran 2 of 18 samples · 16 unverified
  We study the problem of transferring a sample in one domain to an analog sample in another domain.
• Improving Shape Deformation in Unsupervised Image-to-Image Translation
  13 Aug 2018 4 repositories listed
  Unsupervised image-to-image translation techniques are able to map local texture between two domains, but they are typically unsuccessful when the domains require larger shape change.
• XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings
  14 Nov 2017 4 repositories listed Syntology ran 1 of 11 samples · 10 unverified
  Style transfer usually refers to the task of applying color and texture information from a specific style image to a given content image while preserving the structure of the latter.
• Dual Contrastive Learning for Unsupervised Image-to-Image Translation
  15 Apr 2021 3 repositories listed Syntology ran 4 of 10 samples · 6 unverified
  Unsupervised image-to-image translation tasks aim to find a mapping between a source domain X and a target domain Y from unpaired training data.
• CyCADA: Cycle-Consistent Adversarial Domain Adaptation
  8 Nov 2017 3 repositories listed Syntology ran 1 of 2 samples · 1 unverified
  Domain adaptation is critical for success in new, unseen environments.
• Domain-knowledge Inspired Pseudo Supervision (DIPS) for Unsupervised Image-to-Image Translation Models to Support Cross-Domain Classification
  18 Mar 2023 2 repositories listed
  Cross-domain classification frameworks were developed to handle this data domain shift problem by utilizing unsupervised image-to-image translation models to translate an input image from the unlabeled domain to the…
• Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization
  2 Aug 2022 2 repositories listed Syntology ran 1 of 3 samples · 2 unverified
  Image cartoonization is recently dominated by generative adversarial networks (GANs) from the perspective of unsupervised image-to-image translation, in which an inherent challenge is to precisely capture and…
• Learning to generate line drawings that convey geometry and semantics
  23 Mar 2022 2 repositories listed Syntology ran 17 of 18 samples · 1 unverified
  We introduce a geometry loss which predicts depth information from the image features of a line drawing, and a semantic loss which matches the CLIP features of a line drawing with its corresponding photograph.
• The Surprising Effectiveness of Linear Unsupervised Image-to-Image Translation
  24 Jul 2020 2 repositories listed
  Unsupervised image-to-image translation is an inherently ill-posed problem.
• Feature Quantization Improves GAN Training
  5 Apr 2020 2 repositories listed Syntology ran 3 of 4 samples · 1 unverified · 1 pointer-only (licence)
  The instability in GAN training has been a long-standing problem despite remarkable research efforts.
• Lifespan Age Transformation Synthesis
  21 Mar 2020 2 repositories listed
  Most existing aging methods are limited to changing the texture, overlooking transformations in head shape that occur during the human aging and growth process.
• Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
  29 Feb 2020 2 repositories listed
  The proposed architecture, termed as NICE-GAN, exhibits two advantageous patterns over previous approaches: First, it is more compact since no independent encoding component is required; Second, this plug-in encoder is…
• Demystifying Inter-Class Disentanglement
  27 Jun 2019 2 repositories listed
  Learning to disentangle the hidden factors of variations within a set of observations is a key task for artificial intelligence.
• One-Shot Unsupervised Cross Domain Translation
  15 Jun 2018 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Given a single image x from domain A and a set of images from domain B, our task is to generate the analogous of x in B.
• Unsupervised Attention-guided Image to Image Translation
  6 Jun 2018 2 repositories listed Syntology ran 1 of 7 samples · 6 unverified
  Current unsupervised image-to-image translation techniques struggle to focus their attention on individual objects without altering the background or the way multiple objects interact within a scene.
• GP-UNIT: Generative Prior for Versatile Unsupervised Image-to-Image Translation
  7 Jun 2023 1 repository listed
  In this paper, we introduce a novel versatile framework, Generative Prior-guided UNsupervised Image-to-image Translation (GP-UNIT), that improves the quality, applicability and controllability of the existing…
• Wavelet-based Unsupervised Label-to-Image Translation
  16 May 2023 1 repository listed
  Semantic Image Synthesis (SIS) is a subclass of image-to-image translation where a semantic layout is used to generate a photorealistic image.
• Augmenting Ego-Vehicle for Traffic Near-Miss and Accident Classification Dataset using Manipulating Conditional Style Translation
  6 Jan 2023 1 repository listed
  To develop the advanced self-driving systems, many researchers are focusing to alert all possible traffic risk cases from closed-circuit television (CCTV) and dashboard-mounted cameras.
• DGFont++: Robust Deformable Generative Networks for Unsupervised Font Generation
  30 Dec 2022 1 repository listed
  Moreover, we introduce contrastive self-supervised learning to learn a robust style representation for fonts by understanding the similarity and dissimilarities of fonts.
• LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data
  31 Aug 2022 1 repository listed
  Existing techniques for image-to-image translation commonly have suffered from two critical problems: heavy reliance on per-sample domain annotation and/or inability of handling multiple attributes per image.
• Unsupervised Image-to-Image Translation with Generative Prior
  7 Apr 2022 1 repository listed Syntology ran 5 of 7 samples · 2 unverified · 7 pointer-only (licence)
  In this work, we present a novel framework, Generative Prior-guided UNsupervised Image-to-image Translation (GP-UNIT), to improve the overall quality and applicability of the translation algorithm.
• A Style-aware Discriminator for Controllable Image Translation
  29 Mar 2022 1 repository listed Syntology ran 9 of 12 samples · 3 unverified
  Current image-to-image translations do not control the output domain beyond the classes used during training, nor do they interpolate between different domains well, leading to implausible results.

Syntology lines on 18 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-25.