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 1801–1850 of 6689 papers

TitleStatusHype
CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image ClassificationCode1
Dissecting and Mitigating Diffusion Bias via Mechanistic InterpretabilityCode1
Dissolving Is Amplifying: Towards Fine-Grained Anomaly DetectionCode1
Censored Sampling of Diffusion Models Using 3 Minutes of Human FeedbackCode1
CFG++: Manifold-constrained Classifier Free Guidance for Diffusion ModelsCode1
MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image GenerationCode1
Multi-Spectral Image Synthesis for Crop/Weed Segmentation in Precision FarmingCode1
Learning to Manipulate Artistic ImagesCode1
Multi-View Consistent Generative Adversarial Networks for 3D-aware Image SynthesisCode1
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs TheoryCode1
Mutual Information Divergence: A Unified Metric for Multimodal Generative ModelsCode1
Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal DataCode1
Multimodal LLMs Can Reason about Aesthetics in Zero-ShotCode1
Learning Two-Stream CNN for Multi-Modal Age-related Macular Degeneration CategorizationCode1
CONFIG: Controllable Neural Face Image GenerationCode1
Multimodal Procedural Planning via Dual Text-Image PromptingCode1
Multiresolution Equivariant Graph Variational AutoencoderCode1
Conffusion: Confidence Intervals for Diffusion ModelsCode1
Enhanced Balancing GAN: Minority-class Image GenerationCode1
EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion ModelsCode1
DiTAS: Quantizing Diffusion Transformers via Enhanced Activation SmoothingCode1
LidarCLIP or: How I Learned to Talk to Point CloudsCode1
ConditionVideo: Training-Free Condition-Guided Text-to-Video GenerationCode1
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion ModelsCode1
Multi-Modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image SynthesisCode1
End-to-End Diffusion Latent Optimization Improves Classifier GuidanceCode1
End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure ImagesCode1
DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial NetworkCode1
Multimodal Image Synthesis and Editing: The Generative AI EraCode1
LLDiffusion: Learning Degradation Representations in Diffusion Models for Low-Light Image EnhancementCode1
Conditional Vector Graphics Generation for Music Cover ImagesCode1
LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis EvaluationCode1
Enhancing Scene Text Detectors with Realistic Text Image Synthesis Using Diffusion ModelsCode1
Multimodal Image Synthesis with Conditional Implicit Maximum Likelihood EstimationCode1
Multimodal LLM-Guided Semantic Correction in Text-to-Image DiffusionCode1
DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion ModelCode1
Embedding an Ethical Mind: Aligning Text-to-Image Synthesis via Lightweight Value OptimizationCode1
Diverse Semantic Image Synthesis via Probability Distribution ModelingCode1
Elucidating the solution space of extended reverse-time SDE for diffusion modelsCode1
Diversified in-domain synthesis with efficient fine-tuning for few-shot classificationCode1
Local and Global GANs with Semantic-Aware Upsampling for Image GenerationCode1
Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene GenerationCode1
Are Diffusion Models Vision-And-Language Reasoners?Code1
Diversity-aware Channel Pruning for StyleGAN CompressionCode1
ChatHouseDiffusion: Prompt-Guided Generation and Editing of Floor PlansCode1
Locally Masked Convolution for Autoregressive ModelsCode1
Multi-marginal Wasserstein GANCode1
Elucidating The Design Space of Classifier-Guided Diffusion GenerationCode1
Harnessing LLM to Attack LLM-Guarded Text-to-Image ModelsCode1
Elucidating the design space of language models for image generationCode1
Show:102550
← PrevPage 37 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