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 57015725 of 6689 papers

TitleStatusHype
Unified Generative Adversarial Networks for Controllable Image-to-Image TranslationCode0
Devil is in Details: Locality-Aware 3D Abdominal CT Volume Generation for Self-Supervised Organ SegmentationCode0
Subject-driven Text-to-Image Generation via Preference-based Reinforcement LearningCode0
Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space with Softplus LossCode0
TileGAN: Synthesis of Large-Scale Non-Homogeneous TexturesCode0
PasteGAN: A Semi-Parametric Method to Generate Image from Scene GraphCode0
Enriching Information and Preserving Semantic Consistency in Expanding Curvilinear Object Segmentation DatasetsCode0
RELICT: A Replica Detection Framework for Medical Image GenerationCode0
Image Generation from Sketch Constraint Using Contextual GANCode0
Compensation Sampling for Improved Convergence in Diffusion ModelsCode0
Data Augmentation for Surgical Scene Segmentation with Anatomy-Aware Diffusion ModelsCode0
Diffusion-driven GAN Inversion for Multi-Modal Face Image GenerationCode0
Image Generation Via Minimizing Fréchet Distance in Discriminator Feature SpaceCode0
Religious Bias Landscape in Language and Text-to-Image Models: Analysis, Detection, and Debiasing StrategiesCode0
ArchiGuesser -- AI Art Architecture Educational GameCode0
AI-Driven Cytomorphology Image Synthesis for Medical DiagnosticsCode0
Complex Image Generation SwinTransformer Network for Audio DenoisingCode0
AdapEdit: Spatio-Temporal Guided Adaptive Editing Algorithm for Text-Based Continuity-Sensitive Image EditingCode0
Megapixel Image Generation with Step-Unrolled Denoising AutoencodersCode0
ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-ExpertsCode0
Complexity Control Facilitates Reasoning-Based Compositional Generalization in TransformersCode0
DFU: scale-robust diffusion model for zero-shot super-resolution image generationCode0
Escaping from Collapsing Modes in a Constrained SpaceCode0
ComposeAnyone: Controllable Layout-to-Human Generation with Decoupled Multimodal ConditionsCode0
BLT: Balancing Long-Tailed Datasets with Adversarially-Perturbed ImagesCode0
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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