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 4851–4900 of 6689 papers

TitleStatusHype
Variational Autoencoders Without the Variation—0
Generative Adversarial NetworksCode1
CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIPCode1
Local and Global GANs with Semantic-Aware Upsampling for Image GenerationCode1
State-of-the-Art in the Architecture, Methods and Applications of StyleGAN—0
One-shot Ultra-high-Resolution Generative Adversarial Network That Synthesizes 16K Images On A Single GPU—0
The Spectral Bias of Polynomial Neural Networks—0
Pix2NeRF: Unsupervised Conditional π-GAN for Single Image to Neural Radiance Fields TranslationCode2
se-Shweshwe Inspired Fashion Generation—0
Reconstruction of Perceived Images from fMRI Patterns and Semantic Brain Exploration using Instance-Conditioned GANsCode1
OptGAN: Optimizing and Interpreting the Latent Space of the Conditional Text-to-Image GANs—0
Self-Distilled StyleGAN: Towards Generation from Internet PhotosCode2
Clarifying MCMC-based training of modern EBMs : Contrastive Divergence versus Maximum Likelihood—0
Transformers in Medical Image Analysis: A Review—0
Synthesizing Photorealistic Images with Deep Generative Learning—0
Deepfake Detection for Facial Images with Facemasks—0
Benchmarking Generative Latent Variable Models for SpeechCode0
Cut and Continuous Paste towards Real-time Deep Fall Detection—0
MIST GAN: Modality Imputation Using Style Transfer for MRI—0
Pseudo Numerical Methods for Diffusion Models on ManifoldsCode6
C2N: Practical Generative Noise Modeling for Real-World DenoisingCode1
Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-EncodersCode1
Diversity in deep generative models and generative AICode0
3D-Aware Indoor Scene Synthesis with Depth Priors—0
How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity—0
Cross-Modality Neuroimage Synthesis: A SurveyCode0
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality—0
Deep Feature Rotation for Multimodal Image Style Transfer—0
MaskGIT: Masked Generative Image TransformerCode3
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation ModelsCode3
Residual Aligned: Gradient Optimization for Non-Negative Image Synthesis—0
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning FrameworkCode0
Universality of parametric Coupling Flows over parametric diffeomorphisms—0
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network AcceleratorsCode0
Pose Guided Image Generation from Misaligned Sources via Residual Flow Based Correction—0
Progressive Distillation for Fast Sampling of Diffusion ModelsCode2
StyleGAN-XL: Scaling StyleGAN to Large Diverse DatasetsCode2
Stay Positive: Non-Negative Image Synthesis for Augmented RealityCode1
Third Time's the Charm? Image and Video Editing with StyleGAN3Code2
FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform LossCode1
Generative Cooperative Networks for Natural Language Generation—0
Effective Shortcut Technique for GAN—0
Image Generation with Self Pixel-wise Normalization—0
On the Issues of TrueDepth Sensor Data for Computer Vision Tasks Across Different iPad GenerationsCode0
GIU-GANs: Global Information Utilization for Generative Adversarial Networks—0
Which Style Makes Me Attractive? Interpretable Control Discovery and Counterfactual Explanation on StyleGANCode1
On Evaluation Metrics for Graph Generative ModelsCode1
FedMed-GAN: Federated Domain Translation on Unsupervised Cross-Modality Brain Image SynthesisCode1
Investigating the Potential of Auxiliary-Classifier GANs for Image Classification in Low Data Regimes—0
GAN-based Matrix Factorization for Recommender SystemsCode1
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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