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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6101–6150 of 6689 papers

TitleStatusHype
Inspirational Adversarial Image Generation—0
Pose Guided Fashion Image Synthesis Using Deep Generative Model—0
Multi-Adversarial Variational Autoencoder Networks—0
Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis—0
Stable Rank Normalization for Improved Generalization in Neural Networks and GANs—0
Parallel Scheduled Sampling—0
Shapes and Context: In-the-Wild Image Synthesis & Manipulation—0
Multi-objects Generation with Amortized Structural RegularizationCode0
The Implicit Metropolis-Hastings AlgorithmCode0
Labeled Graph Generative Adversarial Networks—0
Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style TransferCode1
Image Synthesis with a Single (Robust) ClassifierCode0
Residual Flows for Invertible Generative ModelingCode1
Generative Adversarial Networks in Computer Vision: A Survey and TaxonomyCode1
Example-Guided Style Consistent Image Synthesis from Semantic LabelingCode0
cGANs with Conditional Convolution Layer—0
Generating Diverse High-Fidelity Images with VQ-VAE-2Code1
ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot Image-to-Image TranslationCode0
Learning Patterns in Sample Distributions for Monte Carlo Variance Reduction—0
Coordinate-Based Texture Inpainting for Pose-Guided Human Image Generation—0
Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks—0
Sphere Generative Adversarial Network Based on Geometric Moment MatchingCode0
Parallel Optimal Transport GAN—0
Example-Guided Style-Consistent Image Synthesis From Semantic Labeling—0
Multispectral Imaging for Fine-Grained Recognition of Powders on Complex Backgrounds—0
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection—0
KG-GAN: Knowledge-Guided Generative Adversarial Networks—0
Training Generative Adversarial Networks from Incomplete Observations using Factorised DiscriminatorsCode0
JGAN: A Joint Formulation of GAN for Synthesizing Images and Labels—0
Style transfer-based image synthesis as an efficient regularization technique in deep learning—0
Precision-Recall Curves Using Information Divergence Frontiers—0
Synthesizing Images from Spatio-Temporal Representations using Spike-based Backpropagation—0
Generative Latent FlowCode0
Training language GANs from ScratchCode0
Decentralized Learning of Generative Adversarial Networks from Non-iid Data—0
AttentionRNN: A Structured Spatial Attention Mechanism—0
Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis—0
Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach—0
Non-Parametric Priors For Generative Adversarial Networks—0
On Conditioning GANs to Hierarchical Ontologies—0
Joint Learning of Neural Networks via Iterative Reweighted Least SquaresCode0
Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation—0
Joint haze image synthesis and dehazing with mmd-vae losses—0
Kernel Mean Matching for Content Addressability of GANsCode0
Hierarchy Composition GAN for High-fidelity Image Synthesis—0
Synthetic-Neuroscore: Using A Neuro-AI Interface for Evaluating Generative Adversarial NetworksCode1
Ink removal from histopathology whole slide images by combining classification, detection and image generation modelsCode0
Which Contrast Does Matter? Towards a Deep Understanding of MR Contrast using Collaborative GANCode0
The Art of Food: Meal Image Synthesis from IngredientsCode0
Grand Challenge of 106-Point Facial Landmark Localization—0
Show:102550
← PrevPage 123 of 134Next →
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