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 2551–2600 of 6689 papers

TitleStatusHype
Data Generation Scheme for Thermal Modality with Edge-Guided Adversarial Conditional Diffusion ModelCode0
Benchmarking Generative Latent Variable Models for SpeechCode0
MindOmni: Unleashing Reasoning Generation in Vision Language Models with RGPOCode0
Data-Efficient Molecular Generation with Hierarchical Textual InversionCode0
Data-driven Crop Growth Simulation on Time-varying Generated Images using Multi-conditional Generative Adversarial NetworksCode0
The Role of Data Curation in Image CaptioningCode0
BEGAN: Boundary Equilibrium Generative Adversarial NetworksCode0
Semantic Object Accuracy for Generative Text-to-Image SynthesisCode0
MFTF: Mask-free Training-free Object Level Layout Control Diffusion ModelCode0
DAMM-Diffusion: Learning Divergence-Aware Multi-Modal Diffusion Model for Nanoparticles Distribution PredictionCode0
MFGDiffusion: Mask-Guided Smoke Synthesis for Enhanced Forest Fire DetectionCode0
Coarse-to-Fine Gaze Redirection with Numerical and Pictorial GuidanceCode0
Metrics that matter: Evaluating image quality metrics for medical image generationCode0
Learning Energy-Based Models With Adversarial TrainingCode0
MIGS: Meta Image Generation from Scene GraphsCode0
Mixture-of-Subspaces in Low-Rank AdaptationCode0
MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter SelectionCode0
D^2iT: Dynamic Diffusion Transformer for Accurate Image GenerationCode0
Cyclic image generation using chaotic dynamicsCode0
Cyclic 2.5D Perceptual Loss for Cross-Modal 3D Medical Image Synthesis: T1w MRI to Tau PETCode0
Bayesian CP Factorization of Incomplete Tensors with Automatic Rank DeterminationCode0
Megapixel Image Generation with Step-Unrolled Denoising AutoencodersCode0
Meta-Learning and Self-Supervised Pretraining for Real World Image TranslationCode0
Cycle-Consistent Generative Rendering for 2D-3D Modality TranslationCode0
Batch-Instructed Gradient for Prompt Evolution:Systematic Prompt Optimization for Enhanced Text-to-Image SynthesisCode0
Medical Imaging Complexity and its Effects on GAN PerformanceCode0
Adaptive Consensus Optimization Method for GANsCode0
Medical Image Synthesis with Deep Convolutional Adversarial NetworksCode0
Measurement Score-Based Diffusion ModelCode0
M-EBM: Towards Understanding the Manifolds of Energy-Based ModelsCode0
MC-GAN: Multi-conditional Generative Adversarial Network for Image SynthesisCode0
CusConcept: Customized Visual Concept Decomposition with Diffusion ModelsCode0
Curriculum Direct Preference Optimization for Diffusion and Consistency ModelsCode0
MC^2: Multi-concept Guidance for Customized Multi-concept GenerationCode0
Background Image Generation Using Boolean OperationsCode0
Backdoor Attack is a Devil in Federated GAN-based Medical Image SynthesisCode0
Mask Embedding in conditional GAN for Guided Synthesis of High Resolution ImagesCode0
Mask and Restore: Blind Backdoor Defense at Test Time with Masked AutoencoderCode0
ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and GenerationCode0
CSGAN: Cyclic-Synthesized Generative Adversarial Networks for Image-to-Image TransformationCode0
Mapping Instructions to Actions in 3D Environments with Visual Goal PredictionCode0
Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image SynthesisCode0
CS^2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human InterventionCode0
Axial Attention in Multidimensional TransformersCode0
TextKD-GAN: Text Generation using KnowledgeDistillation and Generative Adversarial NetworksCode0
Crowdsource, Crawl, or Generate? Creating SEA-VL, a Multicultural Vision-Language Dataset for Southeast AsiaCode0
Fusion Embedding for Pose-Guided Person Image Synthesis with Diffusion ModelCode0
MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-Robust ClassifierCode0
MAGAN: Margin Adaptation for Generative Adversarial NetworksCode0
MACS: Multi-source Audio-to-image Generation with Contextual Significance and Semantic AlignmentCode0
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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