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 6351–6400 of 6689 papers

TitleStatusHype
A Siamese-based Verification System for Open-set Architecture Attribution of Synthetic ImagesCode0
Learning Spatially-Adaptive Squeeze-Excitation Networks for Image Synthesis and Image RecognitionCode0
ρ-VAE: Autoregressive parametrization of the VAE encoderCode0
Scribbler: Controlling Deep Image Synthesis with Sketch and ColorCode0
SC-VAE: Sparse Coding-based Variational Autoencoder with Learned ISTACode0
Normalized DiversificationCode0
Unpaired Image-to-Speech Synthesis with Multimodal Information BottleneckCode0
Learning Low-Rank Latent Spaces with Simple Deterministic Autoencoder: Theoretical and Empirical InsightsCode0
Normalizing Flow-Based Metric for Image GenerationCode0
Learning monocular depth estimation infusing traditional stereo knowledgeCode0
UMAIR-FPS: User-aware Multi-modal Animation Illustration Recommendation Fusion with Painting StyleCode0
Towards Unsupervised Learning of Generative Models for 3D Controllable Image SynthesisCode0
GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image GenerationCode0
GeoGuide: Geometric guidance of diffusion modelsCode0
Generative Modeling by Inclusive Neural Random Fields with Applications in Image Generation and Anomaly DetectionCode0
Unpaired Multi-Domain Image Generation via Regularized Conditional GANsCode0
Synthesizing Traffic Datasets using Graph Neural NetworksCode0
Vision-guided and Mask-enhanced Adaptive Denoising for Prompt-based Image EditingCode0
Limitations of Face Image GenerationCode0
EliGen: Entity-Level Controlled Image Generation with Regional AttentionCode0
Learning Partonomic 3D Reconstruction from Image CollectionsCode0
Learning Portrait Style RepresentationsCode0
SDF-3DGAN: A 3D Object Generative Method Based on Implicit Signed Distance FunctionCode0
Unpaired Pose Guided Human Image GenerationCode0
X-ray Image Generation as a Method of Performance Prediction for Real-Time Inspection: a Case StudyCode0
T-Person-GAN: Text-to-Person Image Generation with Identity-Consistency and Manifold Mix-UpCode0
Q&C: When Quantization Meets Cache in Efficient Image GenerationCode0
CAP: Evaluation of Persuasive and Creative Image GenerationCode0
SDL: New data generation tools for full-level annotated document layoutCode0
Novel-view X-ray Projection Synthesis through Geometry-Integrated Deep LearningCode0
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion ModelingCode0
Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature DecorationCode0
Learning Stationary Markov Processes with Contrastive AdjustmentCode0
Neural Wireframe Renderer: Learning Wireframe to Image TranslationsCode0
The Disappearance of Timestep Embedding in Modern Time-Dependent Neural NetworksCode0
Learning Texture Manifolds with the Periodic Spatial GANCode0
QEAN: Quaternion-Enhanced Attention Network for Visual Dance GenerationCode0
Uncertainty Quantification using Variational Inference for Biomedical Image SegmentationCode0
Learning to Decouple and Generate Seismic Random Noise via Invertible Neural NetworkCode0
CIGLI: Conditional Image Generation from Language & ImageCode0
DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric FinetuningCode0
A Variational U-Net for Conditional Appearance and Shape GenerationCode0
AdversarialNAS: Adversarial Neural Architecture Search for GANsCode0
QNCD: Quantization Noise Correction for Diffusion ModelsCode0
Day-to-Night Image Synthesis for Training Nighttime Neural ISPsCode0
Unconditional Latent Diffusion Models Memorize Patient Imaging Data: Implications for Openly Sharing Synthetic DataCode0
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial NetworksCode0
Tracking Any Point with Frame-Event Fusion Network at High Frame RateCode0
Learning to Generate with MemoryCode0
Seamless Iterative Semi-Supervised Correction of Imperfect Labels in Microscopy ImagesCode0
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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