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 6151–6200 of 6689 papers

TitleStatusHype
Interactive Image Generation Using Scene Graphs—0
Spatially Constrained GAN for Face and Fashion SynthesisCode0
FCC-GAN: A Fully Connected and Convolutional Net Architecture for GANsCode0
Attention-based Fusion for Multi-source Human Image Generation—0
PasteGAN: A Semi-Parametric Method to Generate Image from Scene GraphCode0
SinGAN: Learning a Generative Model from a Single Natural ImageCode1
3DFaceGAN: Adversarial Nets for 3D Face Representation, Generation, and Translation—0
Learn to synthesize and synthesize to learnCode0
ProbGAN: Towards Probabilistic GAN with Theoretical GuaranteesCode0
Overcoming the Disentanglement vs Reconstruction Trade-off via Jacobian SupervisionCode0
Variational Domain Adaptation—0
VHEGAN: Variational Hetero-Encoder Randomized GAN for Zero-Shot Learning—0
Deli-Fisher GAN: Stable and Efficient Image Generation With Structured Latent Generative Space—0
Probabilistic Semantic Embedding—0
COCO-GAN: Conditional Coordinate Generative Adversarial Network—0
Appearance and Pose-Conditioned Human Image Generation using Deformable GANsCode0
Structured Prediction using cGANs with Fusion Discriminator—0
DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences SynthesisCode0
TileGAN: Synthesis of Large-Scale Non-Homogeneous TexturesCode0
Deferred Neural Rendering: Image Synthesis using Neural TexturesCode0
High-Resolution Network for Photorealistic Style TransferCode0
Making Convolutional Networks Shift-Invariant AgainCode1
TextKD-GAN: Text Generation using KnowledgeDistillation and Generative Adversarial NetworksCode0
Generating Long Sequences with Sparse TransformersCode3
Deep residual inception encoder–decoder network for medical imaging synthesisCode0
AnonymousNet: Natural Face De-Identification with Measurable Privacy—0
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities GenerationCode0
Fashion++: Minimal Edits for Outfit Improvement—0
Compact Scene Graphs for Layout Composition and Patch Retrieval—0
Generative Model for Zero-Shot Sketch-Based Image Retrieval—0
Inspecting and Interacting with Meaningful Music Representations using VAE—0
TextCaps : Handwritten Character Recognition with Very Small DatasetsCode0
Polarimetric Thermal to Visible Face Verification via Self-Attention Guided Synthesis—0
Improved Precision and Recall Metric for Assessing Generative ModelsCode1
Processsing Simple Geometric Attributes with Autoencoders—0
Joint Discriminative and Generative Learning for Person Re-identificationCode2
FTGAN: A Fully-trained Generative Adversarial Networks for Text to Face Generation—0
Data Priming Network for Automatic Check-Out—0
Text Guided Person Image Synthesis—0
Sliced Wasserstein Generative ModelsCode1
Learning monocular depth estimation infusing traditional stereo knowledgeCode0
Normalized DiversificationCode0
Artificial Intelligence for Pediatric Ophthalmology—0
Progressive Pose Attention Transfer for Person Image GenerationCode1
Unsupervised Person Image Generation with Semantic Parsing TransformationCode0
UU-Nets Connecting Discriminator and Generator for Image to Image Translation—0
Constrained Generative Adversarial Networks for Interactive Image Generation—0
Image Generation From Small Datasets via Batch Statistics AdaptationCode1
Conditional Adversarial Generative Flow for Controllable Image Synthesis—0
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image SynthesisCode1
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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