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 11011125 of 6689 papers

TitleStatusHype
Dissecting and Mitigating Diffusion Bias via Mechanistic InterpretabilityCode1
Dissolving Is Amplifying: Towards Fine-Grained Anomaly DetectionCode1
Disrupting Diffusion: Token-Level Attention Erasure Attack against Diffusion-based CustomizationCode1
How to Make an Image More Memorable? A Deep Style Transfer ApproachCode1
How to train your neural ODE: the world of Jacobian and kinetic regularizationCode1
Blackout Diffusion: Generative Diffusion Models in Discrete-State SpacesCode1
An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt LearningCode1
HoughNet: Integrating near and long-range evidence for visual detectionCode1
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training DataCode1
HoughNet: Integrating near and long-range evidence for bottom-up object detectionCode1
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative ModelsCode1
How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?Code1
BIVDiff: A Training-Free Framework for General-Purpose Video Synthesis via Bridging Image and Video Diffusion ModelsCode1
Disentanglement in a GAN for Unconditional Speech SynthesisCode1
BIVA: A Very Deep Hierarchy of Latent Variables for Generative ModelingCode1
AniFaceGAN: Animatable 3D-Aware Face Image Generation for Video AvatarsCode1
Disentangled Image Generation Through Structured Noise InjectionCode1
HistoSmith: Single-Stage Histology Image-Label Generation via Conditional Latent Diffusion for Enhanced Cell Segmentation and ClassificationCode1
Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation ModelsCode1
Bipartite Graph Reasoning GANs for Person Pose and Facial Image SynthesisCode1
DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image GenerationCode1
Bipartite Graph Reasoning GANs for Person Image GenerationCode1
Angle Domain Guidance: Latent Diffusion Requires Rotation Rather Than ExtrapolationCode1
Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive LearningCode1
Towards Disentangling Latent Space for Unsupervised Semantic Face EditingCode1
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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