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 3851–3900 of 6689 papers

TitleStatusHype
Pyramid Diffusion Models For Low-light Image EnhancementCode1
FastComposer: Tuning-Free Multi-Subject Image Generation with Localized AttentionCode2
Controllable Mind Visual Diffusion ModelCode1
Fusion-S2iGan: An Efficient and Effective Single-Stage Framework for Speech-to-Image Generation—0
AR-Diffusion: Auto-Regressive Diffusion Model for Text GenerationCode1
Generative Adversarial Networks for Brain Images Synthesis: A Review—0
Towards Pragmatic Semantic Image Synthesis for Urban ScenesCode0
A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image ReconstructionCode0
Wavelet-based Unsupervised Label-to-Image TranslationCode0
Interactive Fashion Content Generation Using LLMs and Latent Diffusion Models—0
Denoising Diffusion Models for Plug-and-Play Image RestorationCode2
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)—0
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity—0
Beware of diffusion models for synthesizing medical images -- A comparison with GANs in terms of memorizing brain MRI and chest x-ray images—0
Better speech synthesis through scalingCode6
Learning the Visualness of Text Using Large Vision-Language Models—0
SparseGNV: Generating Novel Views of Indoor Scenes with Sparse Input ViewsCode1
WeditGAN: Few-Shot Image Generation via Latent Space RelocationCode0
Generative Steganographic Flow—0
Relightify: Relightable 3D Faces from a Single Image via Diffusion Models—0
MMoT: Mixture-of-Modality-Tokens Transformer for Composed Multimodal Conditional Image Synthesis—0
Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentationCode1
Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic SegmentationCode0
SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language ModelsCode1
Vision-Language Models in Remote Sensing: Current Progress and Future TrendsCode1
Synthesis of Annotated Colorectal Cancer Tissue Images from Gland Layout—0
Atmospheric Turbulence Correction via Variational Deep Diffusion—0
Real-World Denoising via Diffusion Model—0
Prompt Tuning Inversion for Text-Driven Image Editing Using Diffusion Models—0
Learning to Evaluate the Artness of AI-generated Images—0
Robust Image Ordinal Regression with Controllable Image GenerationCode0
Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data PoisoningCode1
Multi-object Video Generation from Single Frame Layouts—0
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEsCode1
2D medical image synthesis using transformer-based denoising diffusion probabilistic modelCode1
Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge ReviewCode0
Generative Steganography Diffusion—0
DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image GenerationCode1
The Role of Data Curation in Image CaptioningCode0
Towards Segment Anything Model (SAM) for Medical Image Segmentation: A SurveyCode0
Guided Image Synthesis via Initial Image Editing in Diffusion ModelCode0
Diffusion Explainer: Visual Explanation for Text-to-image Stable DiffusionCode2
Personalize Segment Anything Model with One ShotCode3
Semantic-aware Generation of Multi-view Portrait DrawingsCode1
Catch Missing Details: Image Reconstruction with Frequency Augmented Variational AutoencoderCode1
Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image GenerationCode2
Multimodal Procedural Planning via Dual Text-Image PromptingCode1
Self-similarity-based super-resolution of photoacoustic angiography from hand-drawn doodlesCode1
High-Fidelity Image Synthesis from Pulmonary Nodule Lesion Maps using Semantic Diffusion Model—0
LD-GAN: Low-Dimensional Generative Adversarial Network for Spectral Image Generation with Variance RegularizationCode0
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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