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

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Showing 5901–5950 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
Pixel-Level Domain TransferCode0
Towards Bridging the Performance Gaps of Joint Energy-based ModelsCode0
Feature Alignment as a Generative ProcessCode0
PixelNN: Example-based Image SynthesisCode0
Towards Conceptual CompressionCode0
Modeling Emotions and Ethics with Large Language ModelsCode0
-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite DimensionsCode0
Test-Time Scaling of Diffusion Models via Noise Trajectory SearchCode0
BSD-GAN: Branched Generative Adversarial Network for Scale-Disentangled Representation Learning and Image SynthesisCode0
FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated LearningCode0
Backdooring Bias into Text-to-Image ModelsCode0
Ink removal from histopathology whole slide images by combining classification, detection and image generation modelsCode0
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion ModelsCode0
CS^2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human InterventionCode0
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density ModelingCode0
Wasserstein Generative Learning of Conditional DistributionCode0
FERGI: Automatic Scoring of User Preferences for Text-to-Image Generation from Spontaneous Facial Expression ReactionCode0
Towards Dataset Copyright Evasion Attack against Personalized Text-to-Image Diffusion ModelsCode0
Conditional Image Generation with PixelCNN DecodersCode0
Mode Seeking Generative Adversarial Networks for Diverse Image SynthesisCode0
RewriteNet: Reliable Scene Text Editing with Implicit Decomposition of Text Contents and StylesCode0
Discovery of Single Independent Latent VariableCode0
Modular Generative Adversarial NetworksCode0
Modular StoryGAN with Background and Theme Awareness for Story VisualizationCode0
RGBD-GAN: Unsupervised 3D Representation Learning From Natural Image Datasets via RGBD Image SynthesisCode0
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All datasetsImageNet 256x256CIFAR-10ImageNet 64x64ImageNet 512x512FFHQ 256 x 256CelebA 64x64ImageNet 32x32LSUN Bedroom 256 x 256STL-10LSUN Churches 256 x 256ImageNet 128x128FFHQ 1024 x 1024

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Improved DDPMFID12.3—Unverified
2ADMFID11.84—Unverified
3BigGAN-deepFID8.1—Unverified
4Polarity-BigGANFID6.82—Unverified
5VQGAN+Transformer (k=mixed, p=1.0, a=0.005)FID6.59—Unverified
6MaskGITFID6.18—Unverified
7VQGAN+Transformer (k=600, p=1.0, a=0.05)FID5.2—Unverified
8CDMFID4.88—Unverified
9ADM-GFID4.59—Unverified
10RINFID4.51—Unverified
#ModelMetricClaimedVerifiedStatus
1PresGANFID52.2—Unverified
2RESFLOWFID48.29—Unverified
3Residual FlowFID46.37—Unverified
4GLF+perceptual loss (ours)FID44.6—Unverified
5ProdPoly no activation functionsFID40.45—Unverified
6ProdPoly no activation functionsFID36.77—Unverified
7ACGANFID35.47—Unverified
8DenseFlow-74-10FID34.9—Unverified
9NVAE w/ flowFID32.53—Unverified
10QSNGANFID31.97—Unverified
#ModelMetricClaimedVerifiedStatus
1GLIDE + CLSFID30.87—Unverified
2GLIDE + CLIPFID30.46—Unverified
3GLIDE + CLS-FREEFID29.22—Unverified
4GLIDE + CLIP + CLS + CLS-FREEFID29.18—Unverified
5PGMGANFID21.73—Unverified
6CLR-GANFID20.27—Unverified
7FMFID14.45—Unverified
8CT (Direct Generation, NFE=1)FID13—Unverified
9CT (Direct Generation, NFE=2)FID11.1—Unverified
10GLIDE +CLSKID7.95—Unverified