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 4451–4500 of 6689 papers

TitleStatusHype
Diffusion Motion: Generate Text-Guided 3D Human Motion by Diffusion Model—0
Z-LaVI: Zero-Shot Language Solver Fueled by Visual ImaginationCode0
Stochastic Adaptive Activation FunctionCode0
DiffEdit: Diffusion-based semantic image editing with mask guidanceCode1
Representation Learning with Diffusion ModelsCode1
Composing Ensembles of Pre-trained Models via Iterative Consensus—0
OCR-VQGAN: Taming Text-within-Image GenerationCode1
Backdoor Attack and Defense in Federated Generative Adversarial Network-based Medical Image Synthesis—0
Differentially Private Diffusion ModelsCode1
Swinv2-Imagen: Hierarchical Vision Transformer Diffusion Models for Text-to-Image Generation—0
Improving GANs with a Feature Cycling Generator—0
From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data—0
FedForgery: Generalized Face Forgery Detection with Residual Federated LearningCode1
Meta-Learning via Classifier(-free) Diffusion GuidanceCode1
UniTune: Text-Driven Image Editing by Fine Tuning a Diffusion Model on a Single ImageCode1
A Patch-Based Algorithm for Diverse and High Fidelity Single Image GenerationCode0
DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using Image-to-Image Diffusion Models—0
Character-Centric Story Visualization via Visual Planning and Token AlignmentCode0
LAION-5B: An open large-scale dataset for training next generation image-text modelsCode0
TransFusion: Transcribing Speech with Multinomial DiffusionCode1
Is synthetic data from generative models ready for image recognition?Code1
DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models—0
ImaginaryNet: Learning Object Detectors without Real Images and AnnotationsCode1
BLADERUNNER: Rapid Countermeasure for Synthetic (AI-Generated) StyleGAN FacesCode0
FontTransformer: Few-shot High-resolution Chinese Glyph Image Synthesis via Stacked Transformers—0
Self-Guided Diffusion ModelsCode1
AniFaceGAN: Animatable 3D-Aware Face Image Generation for Video AvatarsCode1
Controllable Radiance Fields for Dynamic Face Synthesis—0
GENIE: Higher-Order Denoising Diffusion SolversCode1
Style-Guided Inference of Transformer for High-resolution Image Synthesis—0
Markup-to-Image Diffusion Models with Scheduled SamplingCode1
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and GuidanceCode2
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation—0
SCAM! Transferring humans between images with Semantic Cross Attention ModulationCode1
SiNeRF: Sinusoidal Neural Radiance Fields for Joint Pose Estimation and Scene ReconstructionCode1
CLIP-Diffusion-LM: Apply Diffusion Model on Image CaptioningCode1
What the DAAM: Interpreting Stable Diffusion Using Cross AttentionCode2
Bridging CLIP and StyleGAN through Latent Alignment for Image Editing—0
A Self-attention Guided Multi-scale Gradient GAN for Diversified X-ray Image Synthesis—0
Dual Pyramid Generative Adversarial Networks for Semantic Image SynthesisCode1
Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning RulesCode1
Can Artificial Intelligence Reconstruct Ancient Mosaics?—0
Pose Guided Human Image Synthesis with Partially Decoupled GAN—0
Visualize Before You Write: Imagination-Guided Open-Ended Text GenerationCode1
GENHOP: An Image Generation Method Based on Successive Subspace Learning—0
On Distillation of Guided Diffusion ModelsCode3
Flow Matching for Generative ModelingCode3
LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Models—0
Imagen Video: High Definition Video Generation with Diffusion Models—0
Progressive Text-to-Image Generation—0
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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