Image-to-Image Translation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

38 leaderboard tables shown for this task, 38 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. 10 shown of 38 until expanded.

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 2026-09-24.

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

32 datasets whose archive record lists this task, ordered by the archive's paper count. 30 shown of 32 until expanded.

Subtasks archive 2025-07-28

11 subtasks in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 550 papers with code (1,184 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.

• Deep Residual Learning for Image Recognition
  10 Dec 2015 484 repositories listed Syntology ran 230 of 377 samples · 147 unverified · 187 pointer-only (licence)
  Deep residual nets are foundations of our submissions to ILSVRC & COCO 2015 competitions, where we also won the 1st places on the tasks of ImageNet detection, ImageNet localization, COCO detection, and COCO segmentation.
• Image-to-Image Translation with Conditional Adversarial Networks
  21 Nov 2016 192 repositories listed Syntology ran 14 of 122 samples · 108 unverified · 1 pointer-only (licence)
  We investigate conditional adversarial networks as a general-purpose solution to image-to-image translation problems.
• 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.
• StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
  24 Nov 2017 35 repositories listed Syntology ran 4 of 7 samples · 3 unverified · 5 pointer-only (licence)
  To address this limitation, we propose StarGAN, a novel and scalable approach that can perform image-to-image translations for multiple domains using only a single model.
• 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 5 of 36 samples · 31 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.
• Semantic Image Synthesis with Spatially-Adaptive Normalization
  18 Mar 2019 24 repositories listed Syntology ran 5 of 9 samples · 4 unverified · 2 pointer-only (licence)
  Previous methods directly feed the semantic layout as input to the deep network, which is then processed through stacks of convolution, normalization, and nonlinearity layers.
• High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
  30 Nov 2017 21 repositories listed Syntology ran 4 of 5 samples · 1 unverified · 3 pointer-only (licence)
  We present a new method for synthesizing high-resolution photo-realistic images from semantic label maps using conditional generative adversarial networks (conditional GANs).
• StarGAN v2: Diverse Image Synthesis for Multiple Domains
  4 Dec 2019 14 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  A good image-to-image translation model should learn a mapping between different visual domains while satisfying the following properties: 1) diversity of generated images and 2) scalability over multiple domains.
• Everybody Dance Now
  22 Aug 2018 14 repositories listed Syntology ran 1 of 3 samples · 2 unverified · 1 pointer-only (licence)
  This paper presents a simple method for "do as I do" motion transfer: given a source video of a person dancing, we can transfer that performance to a novel (amateur) target after only a few minutes of the target subject…
• Taming Transformers for High-Resolution Image Synthesis
  17 Dec 2020 13 repositories listed Syntology ran 6 of 6 samples · 0 unverified · 4 pointer-only (licence)
  We demonstrate how combining the effectiveness of the inductive bias of CNNs with the expressivity of transformers enables them to model and thereby synthesize high-resolution images.
• 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.
• Joint Discriminative and Generative Learning for Person Re-identification
  15 Apr 2019 12 repositories listed Syntology ran 3 of 19 samples · 16 unverified
  To this end, we propose a joint learning framework that couples re-id learning and data generation end-to-end.
• Learning to Adapt Structured Output Space for Semantic Segmentation
  28 Feb 2018 12 repositories listed Syntology ran 6 of 7 samples · 1 unverified · 7 pointer-only (licence)
  In this paper, we propose an adversarial learning method for domain adaptation in the context of semantic segmentation.
• Multimodal Token Fusion for Vision Transformers
  19 Apr 2022 11 repositories listed Syntology ran 1 of 3 samples · 2 unverified · 1 pointer-only (licence)
  Many adaptations of transformers have emerged to address the single-modal vision tasks, where self-attention modules are stacked to handle input sources like images.
• Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
  3 Aug 2020 10 repositories listed Syntology ran 6 of 16 samples · 10 unverified · 1 pointer-only (licence)
  We present a generic image-to-image translation framework, pixel2style2pixel (pSp).
• Contrastive Learning for Unpaired Image-to-Image Translation
  30 Jul 2020 10 repositories listed Syntology ran 9 of 9 samples · 0 unverified
  Furthermore, we draw negatives from within the input image itself, rather than from the rest of the dataset.
• Few-Shot Unsupervised Image-to-Image Translation
  5 May 2019 10 repositories listed Syntology ran 1 of 7 samples · 6 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…
• GANimation: Anatomically-aware Facial Animation from a Single Image
  24 Jul 2018 9 repositories listed Syntology ran 1 of 3 samples · 2 unverified
  Recent advances in Generative Adversarial Networks (GANs) have shown impressive results for task of facial expression synthesis.
• Learning from Simulated and Unsupervised Images through Adversarial Training
  22 Dec 2016 9 repositories listed Syntology ran 2 of 8 samples · 6 unverified
  With recent progress in graphics, it has become more tractable to train models on synthetic images, potentially avoiding the need for expensive annotations.
• Adversarially Learned Inference
  2 Jun 2016 9 repositories listed Syntology ran 2 of 4 samples · 2 unverified · 2 pointer-only (licence)
  We introduce the adversarially learned inference (ALI) model, which jointly learns a generation network and an inference network using an adversarial process.
• Domain Adaptation for Structured Output via Discriminative Patch Representations
  16 Jan 2019 8 repositories listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  Predicting structured outputs such as semantic segmentation relies on expensive per-pixel annotations to learn supervised models like convolutional neural networks.
• 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.
• Diverse Image-to-Image Translation via Disentangled Representations
  2 Aug 2018 7 repositories listed
  Our model takes the encoded content features extracted from a given input and the attribute vectors sampled from the attribute space to produce diverse outputs at test time.
• Toward Multimodal Image-to-Image Translation
  30 Nov 2017 7 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Our proposed method encourages bijective consistency between the latent encoding and output modes.
• DualGAN: Unsupervised Dual Learning for Image-to-Image Translation
  8 Apr 2017 7 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  Depending on the task complexity, thousands to millions of labeled image pairs are needed to train a conditional GAN.
• Composer: Creative and Controllable Image Synthesis with Composable Conditions
  20 Feb 2023 6 repositories listed
  Recent large-scale generative models learned on big data are capable of synthesizing incredible images yet suffer from limited controllability.
• Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
  7 Sep 2022 6 repositories listed Syntology ran 6 of 8 samples · 2 unverified · 6 pointer-only (licence)
  The idea of rectified flow is to learn the ODE to follow the straight paths connecting the points drawn from \pi_0 and \pi_1 as much as possible.
• CartoonGAN: Generative Adversarial Networks for Photo Cartoonization
  1 Jun 2018 6 repositories listed
  Two novel losses suitable for cartoonization are proposed: (1) a semantic content loss, which is formulated as a sparse regularization in the high-level feature maps of the VGG network to cope with substantial style…
• Virtual to Real Reinforcement Learning for Autonomous Driving
  13 Apr 2017 6 repositories listed
  To our knowledge, this is the first successful case of driving policy trained by reinforcement learning that can adapt to real world driving data.

Syntology lines on 25 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 2026-09-24.