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 40014025 of 6689 papers

TitleStatusHype
HAIFIT: Human-to-AI Fashion Image TranslationCode0
VIGFace: Virtual Identity Generation for Privacy-Free Face RecognitionCode0
An Analysis of Human Alignment of Latent Diffusion Models0
Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification0
Optimizing Negative Prompts for Enhanced Aesthetics and Fidelity in Text-To-Image Generation0
Block-wise LoRA: Revisiting Fine-grained LoRA for Effective Personalization and Stylization in Text-to-Image Generation0
Premonition: Using Generative Models to Preempt Future Data Changes in Continual LearningCode0
BraSyn 2023 challenge: Missing MRI synthesis and the effect of different learning objectives0
Synth^2: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings0
AesopAgent: Agent-driven Evolutionary System on Story-to-Video Production0
FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation0
Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning0
FFAD: A Novel Metric for Assessing Generated Time Series Data Utilizing Fourier Transform and Auto-encoder0
DivCon: Divide and Conquer for Progressive Text-to-Image Generation0
Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting0
Active Generation for Image ClassificationCode0
3D-aware Image Generation and Editing with Multi-modal Conditions0
Text-Guided Variational Image Generation for Industrial Anomaly Detection and Segmentation0
FastVideoEdit: Leveraging Consistency Models for Efficient Text-to-Video Editing0
Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with Diffusion Model for Blind Image Super-Resolution0
Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines0
Fine-tuning a Multiple Instance Learning Feature Extractor with Masked Context Modelling and Knowledge Distillation0
Denoising Autoregressive Representation Learning0
Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter ProfileCode0
Evaluating Text-to-Image Generative Models: An Empirical Study on Human Image 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