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 4551–4600 of 6689 papers

TitleStatusHype
Is Deep Learning Network Necessary for Image Generation?—0
A Survey of Diffusion Based Image Generation Models: Issues and Their Solutions—0
CoC-GAN: Employing Context Cluster for Unveiling a New Pathway in Image Generation—0
Learning to Decouple and Generate Seismic Random Noise via Invertible Neural NetworkCode0
Efficient Transfer Learning in Diffusion Models via Adversarial Noise—0
Augmenting medical image classifiers with synthetic data from latent diffusion models—0
DISGAN: Wavelet-informed Discriminator Guides GAN to MRI Super-resolution with Noise CleaningCode0
Open Set Synthetic Image Source Attribution—0
Semantic RGB-D Image Synthesis—0
MosaiQ: Quantum Generative Adversarial Networks for Image Generation on NISQ Computers—0
Sampling From Autoencoders' Latent Space via Quantization And Probability Mass Function Concepts—0
Debiasing Counterfactuals In the Presence of Spurious Correlations—0
Hyperspectral Blind Unmixing using a Double Deep Image PriorCode0
SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-form Layout-to-Image Generation—0
I3: Intent-Introspective Retrieval Conditioned on Instructions—0
ASPIRE: Language-Guided Data Augmentation for Improving Robustness Against Spurious CorrelationsCode0
Guide3D: Create 3D Avatars from Text and Image Guidance—0
RFDforFin: Robust Deep Forgery Detection for GAN-generated Fingerprint Images—0
DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability—0
Watch Your Steps: Local Image and Scene Editing by Text Instructions—0
Likelihood-Based Text-to-Image Evaluation with Patch-Level Perceptual and Semantic Credit AssignmentCode0
Diff-CAPTCHA: An Image-based CAPTCHA with Security Enhanced by Denoising Diffusion Model—0
Painter: Teaching Auto-regressive Language Models to Draw Sketches—0
SciRE-Solver: Accelerating Diffusion Models Sampling by Score-integrand Solver with Recursive Difference—0
Semantic-aware Network for Aerial-to-Ground Image SynthesisCode0
MarkovGen: Structured Prediction for Efficient Text-to-Image Generation—0
LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts—0
Camouflaged Image Synthesis Is All You Need to Boost Camouflaged Detection—0
BATINet: Background-Aware Text to Image Synthesis and Manipulation Network—0
SAR Target Image Generation Method Using Azimuth-Controllable Generative Adversarial Network—0
On Error Propagation of Diffusion Models—0
Vector quantization loss analysis in VQGANs: a single-GPU ablation study for image-to-image synthesisCode0
PromptPaint: Steering Text-to-Image Generation Through Paint Medium-like InteractionsCode0
TextPainter: Multimodal Text Image Generation with Visual-harmony and Text-comprehension for Poster Design—0
DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis—0
Sketch and Text Guided Diffusion Model for Colored Point Cloud Generation—0
SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation—0
Large-Scale Public Data Improves Differentially Private Image Generation Quality—0
Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN—0
Partial Label Supervision for Agnostic Generative Noisy Label LearningCode0
Contrast-augmented Diffusion Model with Fine-grained Sequence Alignment for Markup-to-Image GenerationCode0
Reverse Stable Diffusion: What prompt was used to generate this image?Code0
Training Data Protection with Compositional Diffusion Models—0
Experiments on Generative AI-Powered Parametric Modeling and BIM for Architectural Design—0
Metrics to Quantify Global Consistency in Synthetic Medical Images—0
Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models—0
The Bias Amplification Paradox in Text-to-Image GenerationCode0
DiffPose: SpatioTemporal Diffusion Model for Video-Based Human Pose Estimation—0
HiREN: Towards Higher Supervision Quality for Better Scene Text Image Super-Resolution—0
Stylized Projected GAN: A Novel Architecture for Fast and Realistic Image Generation—0
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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