SOTAVerified

Image Generation

Image Generation (synthesis) is the task of generating new images from an existing dataset.

  • Unconditional generation refers to generating samples unconditionally from the dataset, i.e. $p(y)$
  • Conditional image generation (subtask) refers to generating samples conditionally from the dataset, based on a label, i.e. $p(y|x)$.

In this section, you can find state-of-the-art leaderboards for unconditional generation. For conditional generation, and other types of image generations, refer to the subtasks.

( Image credit: StyleGAN )

Papers

Showing 59015925 of 6689 papers

TitleStatusHype
Increasing diversity of omni-directional images generated from single image using cGAN based on MLPMixerCode0
SVIA: A Street View Image Anonymization Framework for Self-Driving ApplicationsCode0
Bi-Modality Medical Image Synthesis Using Semi-Supervised Sequential Generative Adversarial NetworksCode0
Indonesian Text-to-Image Synthesis with Sentence-BERT and FastGANCode0
Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with MomentumCode0
Deep Learning for Fine-Grained Image Analysis: A SurveyCode0
Mobile Edge Generation-Enabled Digital Twin: Architecture Design and Research OpportunitiesCode0
Adversarial Lipschitz RegularizationCode0
Conditional Generation from Unconditional Diffusion Models using Denoiser RepresentationsCode0
Revealing Unintentional Information Leakage in Low-Dimensional Facial Portrait RepresentationsCode0
Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning ServicesCode0
Pixel Deconvolutional NetworksCode0
Infinite Nature: Perpetual View Generation of Natural Scenes from a Single ImageCode0
Conditional Generation Using Polynomial ExpansionsCode0
Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition TimeCode0
SSD: Towards Better Text-Image Consistency Metric in Text-to-Image GenerationCode0
BIGRoC: Boosting Image Generation via a Robust ClassifierCode0
Reverse Stable Diffusion: What prompt was used to generate this image?Code0
fastWDM3D: Fast and Accurate 3D Healthy Tissue InpaintingCode0
Model-based Cleaning of the QUILT-1M Pathology Dataset for Text-Conditional Image SynthesisCode0
Virtual Conditional Generative Adversarial NetworksCode0
Crowdsource, Crawl, or Generate? Creating SEA-VL, a Multicultural Vision-Language Dataset for Southeast AsiaCode0
FCC-GAN: A Fully Connected and Convolutional Net Architecture for GANsCode0
VerbDiff: Text-Only Diffusion Models with Enhanced Interaction AwarenessCode0
Test-Time Adaptation for Keypoint-Based Spacecraft Pose Estimation Based on Predicted-View SynthesisCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Improved DDPMFID12.3Unverified
2ADMFID11.84Unverified
3BigGAN-deepFID8.1Unverified
4Polarity-BigGANFID6.82Unverified
5VQGAN+Transformer (k=mixed, p=1.0, a=0.005)FID6.59Unverified
6MaskGITFID6.18Unverified
7VQGAN+Transformer (k=600, p=1.0, a=0.05)FID5.2Unverified
8CDMFID4.88Unverified
9ADM-GFID4.59Unverified
10RINFID4.51Unverified
#ModelMetricClaimedVerifiedStatus
1PresGANFID52.2Unverified
2RESFLOWFID48.29Unverified
3Residual FlowFID46.37Unverified
4GLF+perceptual loss (ours)FID44.6Unverified
5ProdPoly no activation functionsFID40.45Unverified
6ProdPoly no activation functionsFID36.77Unverified
7ACGANFID35.47Unverified
8DenseFlow-74-10FID34.9Unverified
9NVAE w/ flowFID32.53Unverified
10QSNGANFID31.97Unverified
#ModelMetricClaimedVerifiedStatus
1GLIDE + CLSFID30.87Unverified
2GLIDE + CLIPFID30.46Unverified
3GLIDE + CLS-FREEFID29.22Unverified
4GLIDE + CLIP + CLS + CLS-FREEFID29.18Unverified
5PGMGANFID21.73Unverified
6CLR-GANFID20.27Unverified
7FMFID14.45Unverified
8CT (Direct Generation, NFE=1)FID13Unverified
9CT (Direct Generation, NFE=2)FID11.1Unverified
10GLIDE +CLSKID7.95Unverified