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 60016025 of 6689 papers

TitleStatusHype
SketchFlex: Facilitating Spatial-Semantic Coherence in Text-to-Image Generation with Region-Based SketchesCode0
Use Classifier as GeneratorCode0
Appearance and Pose-Conditioned Human Image Generation using Deformable GANsCode0
First Order Generative Adversarial NetworksCode0
Pre-trained Perceptual Features Improve Differentially Private Image GenerationCode0
MPG: A Multi-ingredient Pizza Image Generator with Conditional StyleGANsCode0
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder DecompositionCode0
BF-GAN: Development of an AI-driven Bubbly Flow Image Generation Model Using Generative Adversarial NetworksCode0
SurfNet: Generating 3D shape surfaces using deep residual networksCode0
Poetry in Pixels: Prompt Tuning for Poem Image Generation via Diffusion ModelsCode0
Inter-Domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student LearningCode0
Interferometric Neural NetworksCode0
MRI Reconstruction Using Deep Energy-Based ModelCode0
Generating Intermediate Representations for Compositional Text-To-Image GenerationCode0
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the DiscriminatorCode0
ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image GenerationCode0
Interpretable Computer Vision Models through Adversarial Training: Unveiling the Robustness-Interpretability ConnectionCode0
FlexControl: Computation-Aware ControlNet with Differentiable Router for Text-to-Image GenerationCode0
Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image SynthesisCode0
Robust Conditional Generative Adversarial NetworksCode0
A High-Quality Robust Diffusion Framework for Corrupted DatasetCode0
Interpreting Large Text-to-Image Diffusion Models with Dictionary LearningCode0
Robust Image Ordinal Regression with Controllable Image GenerationCode0
Sketch-to-Car: Synthesizing Stylized Car Images From SketchesCode0
The shape and simplicity biases of adversarially robust ImageNet-trained CNNsCode0
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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