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 49515000 of 6689 papers

TitleStatusHype
Grimm in Wonderland: Prompt Engineering with Midjourney to Illustrate Fairytales0
Fine-grained Cross-modal Fusion based Refinement for Text-to-Image SynthesisCode0
Paint it Black: Generating paintings from text descriptions0
Transformer-based Generative Adversarial Networks in Computer Vision: A Comprehensive Survey0
LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation0
TcGAN: Semantic-Aware and Structure-Preserved GANs with Individual Vision Transformer for Fast Arbitrary One-Shot Image Generation0
Text-driven Visual Synthesis with Latent Diffusion Prior0
Defect Transfer GAN: Diverse Defect Synthesis for Data Augmentation0
Visible-Infrared Person Re-Identification via Patch-Mixed Cross-Modality Learning0
Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy0
CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolution0
Painting 3D Nature in 2D: View Synthesis of Natural Scenes from a Single Semantic Mask0
NephroNet: A Novel Program for Identifying Renal Cell Carcinoma and Generating Synthetic Training Images with Convolutional Neural Networks and Diffusion Models0
Example-Based Sampling with Diffusion Models0
MEGANE: Morphable Eyeglass and Avatar Network0
A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning ConventionsCode0
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation0
Spatial Functa: Scaling Functa to ImageNet Classification and Generation0
Private GANs, RevisitedCode0
ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories0
Latent Space Bayesian Optimization with Latent Data Augmentation for Enhanced Exploration0
Eliminating Contextual Prior Bias for Semantic Image Editing via Dual-Cycle DiffusionCode0
Divide and Compose with Score Based Generative ModelsCode0
This Intestine Does Not Exist: Multiscale Residual Variational Autoencoder for Realistic Wireless Capsule Endoscopy Image Generation0
Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification0
On Suppressing Range of Adaptive Stepsizes of Adam to Improve Generalisation Performance0
Towards CGAN-based Satellite Image Synthesis with Partial Pixel-Wise Annotation0
Stable Attribute Group Editing for Reliable Few-shot Image GenerationCode0
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets0
ReGANIE: Rectifying GAN Inversion Errors for Accurate Real Image Editing0
Learning Universal Policies via Text-Guided Video Generation0
ERA-Solver: Error-Robust Adams Solver for Fast Sampling of Diffusion Probabilistic Models0
Towards Equitable Representation in Text-to-Image Synthesis Models with the Cross-Cultural Understanding Benchmark (CCUB) DatasetCode0
Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural NetworksCode0
Variation-Aware Semantic Image Synthesis0
Enhanced Sharp-GAN For Histopathology Image Synthesis0
InfiniCity: Infinite-Scale City Synthesis0
The Entoptic Field Camera as Metaphor-Driven Research-through-Design with AI Technologies0
Illumination Variation Correction Using Image Synthesis For Unsupervised Domain Adaptive Person Re-Identification0
FInC Flow: Fast and Invertible k k Convolutions for Normalizing Flows0
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-run Langevin Flow for Approximate Inference0
BallGAN: 3D-aware Image Synthesis with a Spherical Background0
Regeneration Learning: A Learning Paradigm for Data Generation0
Spatial Steerability of GANs via Self-Supervision from Discriminator0
Learning 3D-aware Image Synthesis with Unknown Pose Distribution0
Simplex Autoencoders0
Explicit Temporal Embedding in Deep Generative Latent Models for Longitudinal Medical Image SynthesisCode0
Diffusion-based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images0
GH-Feat: Learning Versatile Generative Hierarchical Features from GANs0
LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis0
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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