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 23512375 of 6689 papers

TitleStatusHype
Multi-View Image-to-Image Translation Supervised by 3D PoseCode0
Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image GenerationCode0
MUNBa: Machine Unlearning via Nash BargainingCode0
Diffusion-based image inpainting with internal learningCode0
Multiscale structural similarity for image quality assessmentCode0
Multi-Scale Texture Loss for CT denoising with GANsCode0
Murine AI excels at cats and cheese: Structural differences between human and mouse neurons and their implementation in generative AIsCode0
Multi-Objective Quality-Diversity in Unstructured and Unbounded SpacesCode0
A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative ModelsCode0
Multi-objective evolutionary GAN for tabular data synthesisCode0
Multi-objects Generation with Amortized Structural RegularizationCode0
Multi-objective Deep Data Generation with Correlated Property ControlCode0
Multi-Resolution Continuous Normalizing FlowsCode0
Multimodal Latent Language Modeling with Next-Token DiffusionCode0
AAD-DCE: An Aggregated Multimodal Attention Mechanism for Early and Late Dynamic Contrast Enhanced Prostate MRI SynthesisCode0
DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion ModelsCode0
Multimodal Benchmarking and Recommendation of Text-to-Image Generation ModelsCode0
Multi-modal Generation via Cross-Modal In-Context LearningCode0
BRUNO: A Deep Recurrent Model for Exchangeable DataCode0
MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image GenerationCode0
Multi class activity classification in videos using Motion History Image generationCode0
IP-Prompter: Training-Free Theme-Specific Image Generation via Dynamic Visual PromptingCode0
Multi-Class Multi-Instance Count Conditioned Adversarial Image GenerationCode0
Anti-Diffusion: Preventing Abuse of Modifications of Diffusion-Based ModelsCode0
Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic SegmentationCode0
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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