Conditional Image Generation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

11 leaderboard tables shown for this task, 11 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 11 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

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

Subtasks archive 2025-07-28

3 subtasks in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 167 papers with code (286 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.

• Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
  19 Nov 2015 258 repositories listed Syntology ran 113 of 219 samples · 106 unverified · 111 pointer-only (licence)
  In recent years, supervised learning with convolutional networks (CNNs) has seen huge adoption in computer vision applications.
• Analyzing and Improving the Image Quality of StyleGAN
  3 Dec 2019 126 repositories listed Syntology ran 29 of 92 samples · 63 unverified · 18 pointer-only (licence)
  Overall, our improved model redefines the state of the art in unconditional image modeling, both in terms of existing distribution quality metrics as well as perceived image quality.
• Improved Training of Wasserstein GANs
  31 Mar 2017 110 repositories listed Syntology ran 27 of 49 samples · 22 unverified · 20 pointer-only (licence)
  Generative Adversarial Networks (GANs) are powerful generative models, but suffer from training instability.
• Self-Attention Generative Adversarial Networks
  21 May 2018 48 repositories listed Syntology ran 18 of 81 samples · 63 unverified · 1 pointer-only (licence)
  In this paper, we propose the Self-Attention Generative Adversarial Network (SAGAN) which allows attention-driven, long-range dependency modeling for image generation tasks.
• Improved Techniques for Training GANs
  10 Jun 2016 46 repositories listed Syntology ran 1 of 2 samples · 1 unverified
  We present a variety of new architectural features and training procedures that we apply to the generative adversarial networks (GANs) framework.
• Conditional Image Synthesis With Auxiliary Classifier GANs
  30 Oct 2016 37 repositories listed Syntology ran 5 of 5 samples · 0 unverified · 5 pointer-only (licence)
  We expand on previous work for image quality assessment to provide two new analyses for assessing the discriminability and diversity of samples from class-conditional image synthesis models.
• Large Scale GAN Training for High Fidelity Natural Image Synthesis
  28 Sep 2018 35 repositories listed Syntology ran 14 of 41 samples · 27 unverified · 4 pointer-only (licence)
  Despite recent progress in generative image modeling, successfully generating high-resolution, diverse samples from complex datasets such as ImageNet remains an elusive goal.
• Training Generative Adversarial Networks with Limited Data
  11 Jun 2020 28 repositories listed Syntology ran 5 of 29 samples · 24 unverified · 4 pointer-only (licence)
  We also find that the widely used CIFAR-10 is, in fact, a limited data benchmark, and improve the record FID from 5.
• Diffusion Models Beat GANs on Image Synthesis
  11 May 2021 21 repositories listed Syntology ran 27 of 50 samples · 23 unverified · 16 pointer-only (licence)
  Finally, we find that classifier guidance combines well with upsampling diffusion models, further improving FID to 3.
• 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).
• Conditional Image Generation with PixelCNN Decoders
  16 Jun 2016 14 repositories listed Syntology ran 4 of 14 samples · 10 unverified · 3 pointer-only (licence)
  This work explores conditional image generation with a new image density model based on the PixelCNN architecture.
• cGANs with Projection Discriminator
  15 Feb 2018 12 repositories listed Syntology ran 9 of 9 samples · 0 unverified · 6 pointer-only (licence)
  We propose a novel, projection based way to incorporate the conditional information into the discriminator of GANs that respects the role of the conditional information in the underlining probabilistic model.
• 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).
• 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.
• Hierarchical Text-Conditional Image Generation with CLIP Latents
  13 Apr 2022 8 repositories listed Syntology ran 29 of 38 samples · 9 unverified · 1 pointer-only (licence)
  Contrastive models like CLIP have been shown to learn robust representations of images that capture both semantics and style.
• Making Convolutional Networks Shift-Invariant Again
  25 Apr 2019 7 repositories listed Syntology ran 2 of 4 samples · 2 unverified · 3 pointer-only (licence)
  The well-known signal processing fix is anti-aliasing by low-pass filtering before downsampling.
• Invertible Conditional GANs for image editing
  19 Nov 2016 6 repositories listed Syntology ran 0 of 18 samples · 18 unverified
  Generative Adversarial Networks (GANs) have recently demonstrated to successfully approximate complex data distributions.
• Deep Polynomial Neural Networks
  20 Jun 2020 5 repositories listed
  We introduce three tensor decompositions that significantly reduce the number of parameters and show how they can be efficiently implemented by hierarchical neural networks.
• Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction
  4 Sep 2018 5 repositories listed
  We propose to decompose instruction execution to goal prediction and action generation.
• A Novel Sampling Scheme for Text- and Image-Conditional Image Synthesis in Quantized Latent Spaces
  14 Nov 2022 4 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  Recent advancements in the domain of text-to-image synthesis have culminated in a multitude of enhancements pertaining to quality, fidelity, and diversity.
• Autoregressive Image Generation using Residual Quantization
  3 Mar 2022 4 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  However, we postulate that previous VQ cannot shorten the code sequence and generate high-fidelity images together in terms of the rate-distortion trade-off.
• Image Super-Resolution via Iterative Refinement
  15 Apr 2021 4 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 2 pointer-only (licence)
  We present SR3, an approach to image Super-Resolution via Repeated Refinement.
• Twin Auxiliary Classifiers GAN
  5 Jul 2019 4 repositories listed
  One of the popular conditional models is Auxiliary Classifier GAN (AC-GAN), which generates highly discriminative images by extending the loss function of GAN with an auxiliary classifier.
• ArtGAN: Artwork Synthesis with Conditional Categorical GANs
  11 Feb 2017 4 repositories listed
  This paper proposes an extension to the Generative Adversarial Networks (GANs), namely as ARTGAN to synthetically generate more challenging and complex images such as artwork that have abstract characteristics.
• Normalizing Flows are Capable Generative Models
  9 Dec 2024 3 repositories listed Syntology ran 1 of 4 samples · 3 unverified · 1 pointer-only (licence)
  Normalizing Flows (NFs) are likelihood-based models for continuous inputs.
• All are Worth Words: A ViT Backbone for Diffusion Models
  25 Sep 2022 3 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  We evaluate U-ViT in unconditional and class-conditional image generation, as well as text-to-image generation tasks, where U-ViT is comparable if not superior to a CNN-based U-Net of a similar size.
• Projected GANs Converge Faster
  1 Nov 2021 3 repositories listed Syntology ran 38 of 49 samples · 11 unverified · 6 pointer-only (licence)
  Generative Adversarial Networks (GANs) produce high-quality images but are challenging to train.
• Is Attention Better Than Matrix Decomposition?
  9 Sep 2021 3 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  As an essential ingredient of modern deep learning, attention mechanism, especially self-attention, plays a vital role in the global correlation discovery.
• D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
  12 Jun 2021 3 repositories listed Syntology ran 13 of 20 samples · 7 unverified · 3 pointer-only (licence)
  Conditional generative models of high-dimensional images have many applications, but supervision signals from conditions to images can be expensive to acquire.
• Adaptive Weighted Discriminator for Training Generative Adversarial Networks
  5 Dec 2020 3 repositories listed
  Generative adversarial network (GAN) has become one of the most important neural network models for classical unsupervised machine learning.

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.