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 55515600 of 6689 papers

TitleStatusHype
MRI Reconstruction Using Deep Energy-Based ModelCode0
LAViTeR: Learning Aligned Visual and Textual Representations Assisted by Image and Caption GenerationCode0
Deep Learning Approach for Hyperspectral Image Demosaicking, Spectral Correction and High-resolution RGB Reconstruction0
FA-GAN: Feature-Aware GAN for Text to Image Synthesis0
Variable Augmented Network for Invertible Modality Synthesis-FusionCode0
StackGAN: Facial Image Generation Optimizations0
Multi-Attributed and Structured Text-to-Face Synthesis0
A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective?Code0
Heredity-aware Child Face Image Generation with Latent Space Disentanglement0
Realistic Image Synthesis with Configurable 3D Scene Layouts0
Dual Projection Generative Adversarial Networks for Conditional Image GenerationCode0
CIGLI: Conditional Image Generation from Language & ImageCode0
Single Underwater Image Enhancement Using an Analysis-Synthesis Network0
Zoom, Enhance! Measuring Surveillance GAN Up-sampling0
Towards Photorealistic Colorization by Imagination0
Towards Understanding the Generative Capability of Adversarially Robust Classifiers0
Progressive and Selective Fusion Network for High Dynamic Range ImagingCode0
Deep Algorithm Unrolling for Biomedical Imaging0
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation0
Unconditional Scene Graph Generation0
Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold TriangulationCode0
Interpreting Generative Adversarial Networks for Interactive Image Generation0
BIGRoC: Boosting Image Generation via a Robust ClassifierCode0
Combining Attention with Flow for Person Image Synthesis0
Neural Scene Decoration from a Single PhotographCode0
Categorical EHR Imputation with Generative Adversarial Nets0
Cycle-Consistent Inverse GAN for Text-to-Image Synthesis0
Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRICode0
Training face verification models from generated face identity data0
CRD-CGAN: Category-Consistent and Relativistic Constraints for Diverse Text-to-Image Generation0
Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease0
DCL: Differential Contrastive Learning for Geometry-Aware Depth SynthesisCode0
Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot StudyCode0
RewriteNet: Reliable Scene Text Editing with Implicit Decomposition of Text Contents and StylesCode0
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging0
Frequency-Supervised MR-to-CT Image SynthesisCode0
Autonomy 2.0: Why is self-driving always 5 years away?0
DynaDog+T: A Parametric Animal Model for Synthetic Canine Image Generation0
Mutually improved endoscopic image synthesis and landmark detection in unpaired image-to-image translationCode0
Combiner: Full Attention Transformer with Sparse Computation CostCode0
Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form SolutionsCode0
Synthesizing Multi-Tracer PET Images for Alzheimer's Disease Patients using a 3D Unified Anatomy-aware Cyclic Adversarial NetworkCode0
Deep Image Synthesis from Intuitive User Input: A Review and Perspectives0
Grid Partitioned Attention: Efficient TransformerApproximation with Inductive Bias for High Resolution Detail GenerationCode0
FBC-GAN: Diverse and Flexible Image Synthesis via Foreground-Background Composition0
Towards Better Adversarial Synthesis of Human Images from Text0
On The Distribution of Penultimate Activations of Classification Networks0
A Survey on Adversarial Image Synthesis0
SDL: New data generation tools for full-level annotated document layoutCode0
Are conditional GANs explicitly conditional?0
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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