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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2351–2400 of 6689 papers

TitleStatusHype
NiNformer: A Network in Network Transformer with Token Mixing Generated Gating FunctionCode0
Diffusion-based image inpainting with internal learningCode0
Neural Autoregressive Distribution EstimationCode0
Navigating the Synthetic Realm: Harnessing Diffusion-based Models for Laparoscopic Text-to-Image GenerationCode0
A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative ModelsCode0
Navigating Cultural Chasms: Exploring and Unlocking the Cultural POV of Text-To-Image ModelsCode0
NECOMIMI: Neural-Cognitive Multimodal EEG-informed Image Generation with Diffusion ModelsCode0
Neural Characteristic Function Learning for Conditional Image GenerationCode0
AAD-DCE: An Aggregated Multimodal Attention Mechanism for Early and Late Dynamic Contrast Enhanced Prostate MRI SynthesisCode0
Mutually improved endoscopic image synthesis and landmark detection in unpaired image-to-image translationCode0
DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion ModelsCode0
MUNBa: Machine Unlearning via Nash BargainingCode0
Murine AI excels at cats and cheese: Structural differences between human and mouse neurons and their implementation in generative AIsCode0
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion ModellingCode0
BRUNO: A Deep Recurrent Model for Exchangeable DataCode0
Multi-Scale Texture Loss for CT denoising with GANsCode0
Multi-Resolution Continuous Normalizing FlowsCode0
IP-Prompter: Training-Free Theme-Specific Image Generation via Dynamic Visual PromptingCode0
Anti-Diffusion: Preventing Abuse of Modifications of Diffusion-Based ModelsCode0
Multi-objects Generation with Amortized Structural RegularizationCode0
Multiscale structural similarity for image quality assessmentCode0
Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image GenerationCode0
Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine TranslationCode0
Multi-objective Deep Data Generation with Correlated Property ControlCode0
Multi-objective evolutionary GAN for tabular data synthesisCode0
DiffPAD: Denoising Diffusion-based Adversarial Patch DecontaminationCode0
Multimodal Latent Language Modeling with Next-Token DiffusionCode0
HSRMamba: Efficient Wavelet Stripe State Space Model for Hyperspectral Image Super-ResolutionCode0
Multi-Objective Quality-Diversity in Unstructured and Unbounded SpacesCode0
Multi-modal Generation via Cross-Modal In-Context LearningCode0
Multimodal Benchmarking and Recommendation of Text-to-Image Generation ModelsCode0
Adversarial symmetric GANs: bridging adversarial samples and adversarial networksCode0
Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help YouCode0
Multi-Class Multi-Instance Count Conditioned Adversarial Image GenerationCode0
MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image GenerationCode0
Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge ReviewCode0
Multi class activity classification in videos using Motion History Image generationCode0
Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic SegmentationCode0
Multi-View Image-to-Image Translation Supervised by 3D PoseCode0
Pre-trained Perceptual Features Improve Differentially Private Image GenerationCode0
BSD-GAN: Branched Generative Adversarial Network for Scale-Disentangled Representation Learning and Image SynthesisCode0
Mukh-Oboyob: Stable Diffusion and BanglaBERT enhanced Bangla Text-to-Face SynthesisCode0
MRI Reconstruction Using Deep Energy-Based ModelCode0
MSG-GAN: Multi-Scale Gradients for Generative Adversarial NetworksCode0
Motion Transfer-Driven intra-class data augmentation for Finger Vein RecognitionCode0
MotionCom: Automatic and Motion-Aware Image Composition with LLM and Video Diffusion PriorCode0
MPG: A Multi-ingredient Pizza Image Generator with Conditional StyleGANsCode0
More comprehensive facial inversion for more effective expression recognitionCode0
More Expressive Attention with Negative WeightsCode0
MontageGAN: Generation and Assembly of Multiple Components by GANsCode0
Show:102550
← PrevPage 48 of 134Next →
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