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 2101–2150 of 6689 papers

TitleStatusHype
PLACE: Adaptive Layout-Semantic Fusion for Semantic Image SynthesisCode1
Disentangled Representation Learning in Cardiac Image AnalysisCode1
Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized ImagesCode1
Fair Diffusion: Instructing Text-to-Image Generation Models on FairnessCode1
Reliable Fidelity and Diversity Metrics for Generative ModelsCode1
Tackling Structural Hallucination in Image Translation with Local DiffusionCode1
Fashion-Gen: The Generative Fashion Dataset and ChallengeCode1
Fantastic Copyrighted Beasts and How (Not) to Generate ThemCode1
Phase-Based Frame Interpolation for VideoCode0
Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty QuantificationCode0
A Somewhat Robust Image Watermark against Diffusion-based Editing ModelsCode0
Efficient Subsampling of Realistic Images From GANs Conditional on a Class or a Continuous VariableCode0
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAECode0
2S-ODIS: Two-Stage Omni-Directional Image Synthesis by Geometric Distortion CorrectionCode0
Efficient Personalized Text-to-image Generation by Leveraging Textual SubspaceCode0
Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial NetworkCode0
Perceptual Gradient NetworksCode0
Medical Image Fusion for High-Level Analysis: A Mutual Enhancement Framework for Unaligned PAT and MRICode0
Combiner: Full Attention Transformer with Sparse Computation CostCode0
Efficient generative adversarial networks using linear additive-attention TransformersCode0
PCGAN: Partition-Controlled Human Image GenerationCode0
Peer-Ranked Precision: Creating a Foundational Dataset for Fine-Tuning Vision Models from DataSeeds' Annotated ImageryCode0
Persistently Trained, Diffusion-assisted Energy-based ModelsCode0
Pathology Synthesis of 3D-Consistent Cardiac MR Images using 2D VAEs and GANsCode0
Patronus: Bringing Transparency to Diffusion Models with PrototypesCode0
Color Agnostic Cross-Spectral Disparity EstimationCode0
Trade-offs in Fine-tuned Diffusion Models Between Accuracy and InterpretabilityCode0
Personalized Image Generation for Color Vision Deficiency PopulationCode0
A Siamese-based Verification System for Open-set Architecture Attribution of Synthetic ImagesCode0
Spatially Controllable Image Synthesis with Internal Representation CollagingCode0
Affect-Conditioned Image GenerationCode0
Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing FlowsCode0
PasteGAN: A Semi-Parametric Method to Generate Image from Scene GraphCode0
CollaFuse: Collaborative Diffusion ModelsCode0
PALATE: Peculiar Application of the Law of Total Expectation to Enhance the Evaluation of Deep Generative ModelsCode0
Paired 3D Model Generation with Conditional Generative Adversarial NetworksCode0
Editing Text in the WildCode0
Collaborative Interactive Evolution of Art in the Latent Space of Deep Generative ModelsCode0
Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I ModelsCode0
Progressive Augmentation of GANsCode0
Collaborative Sampling in Generative Adversarial NetworksCode0
P^2-GAN: Efficient Style Transfer Using Single Style ImageCode0
PAGER: Progressive Attribute-Guided Extendable Robust Image GenerationCode0
Overcoming the Disentanglement vs Reconstruction Trade-off via Jacobian SupervisionCode0
EDADepth: Enhanced Data Augmentation for Monocular Depth EstimationCode0
Adversarial Out-domain Examples for Generative ModelsCode0
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network AcceleratorsCode0
Generalized Compressed Sensing for Image Reconstruction with Diffusion Probabilistic ModelsCode0
Open-Source Acceleration of Stable-Diffusion.cpp Deployable on All DevicesCode0
A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective?Code0
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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