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 1051–1100 of 6689 papers

TitleStatusHype
DPImageBench: A Unified Benchmark for Differentially Private Image SynthesisCode1
BrainCLIP: Bridging Brain and Visual-Linguistic Representation Via CLIP for Generic Natural Visual Stimulus DecodingCode1
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model StatisticsCode1
Human Pose Transfer by Adaptive Hierarchical DeformationCode1
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary InvestigationCode1
HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image ModelsCode1
DocSynth: A Layout Guided Approach for Controllable Document Image SynthesisCode1
DMM: Building a Versatile Image Generation Model via Distillation-Based Model MergingCode1
Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised ApproachCode1
Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit EditingCode1
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 BenchmarkCode1
How to train your neural ODE: the world of Jacobian and kinetic regularizationCode1
Harnessing LLM to Attack LLM-Guarded Text-to-Image ModelsCode1
BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion ModelsCode1
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image SynthesisCode1
How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?Code1
Diversified in-domain synthesis with efficient fine-tuning for few-shot classificationCode1
Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable DiffusionCode1
HoughNet: Integrating near and long-range evidence for bottom-up object detectionCode1
Diversity-aware Channel Pruning for StyleGAN CompressionCode1
Diverse Semantic Image Synthesis via Probability Distribution ModelingCode1
HOG-Diff: Higher-Order Guided Diffusion for Graph GenerationCode1
HoughNet: Integrating near and long-range evidence for visual detectionCode1
Diverse Image Generation via Self-Conditioned GANsCode1
Histo-fetch -- On-the-fly processing of gigapixel whole slide images simplifies and speeds neural network trainingCode1
HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color HistogramsCode1
3D Vessel Graph Generation Using Denoising DiffusionCode1
Diverse Image Synthesis from Semantic Layouts via Conditional IMLECode1
HistoSmith: Single-Stage Histology Image-Label Generation via Conditional Latent Diffusion for Enhanced Cell Segmentation and ClassificationCode1
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative ModelsCode1
DiTAS: Quantizing Diffusion Transformers via Enhanced Activation SmoothingCode1
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANsCode1
Distribution-Aware Data Expansion with Diffusion ModelsCode1
DIVA: A Dirichlet Process Mixtures Based Incremental Deep Clustering Algorithm via Variational Auto-EncoderCode1
Hi-Net: Hybrid-fusion Network for Multi-modal MR Image SynthesisCode1
High-Resolution Image Editing via Multi-Stage Blended DiffusionCode1
BodyPressure -- Inferring Body Pose and Contact Pressure from a Depth ImageCode1
3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical ImagesCode1
DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial NetworkCode1
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANsCode1
HiPrompt: Tuning-free Higher-Resolution Generation with Hierarchical MLLM PromptsCode1
How to Make an Image More Memorable? A Deep Style Transfer ApproachCode1
Conditional Image Generation by Conditioning Variational Auto-EncodersCode1
Improved Transformer for High-Resolution GANsCode1
Anime-to-Real Clothing: Cosplay Costume Generation via Image-to-Image TranslationCode1
Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic DataCode1
Disentanglement in a GAN for Unconditional Speech SynthesisCode1
Towards Disentangling Latent Space for Unsupervised Semantic Face EditingCode1
A Disentangling Invertible Interpretation Network for Explaining Latent RepresentationsCode1
Hierarchical Transformers Are More Efficient Language ModelsCode1
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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