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 2001–2050 of 6689 papers

TitleStatusHype
ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language GenerationCode1
Noise Map Guidance: Inversion with Spatial Context for Real Image EditingCode1
EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like SketchingCode1
A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image SynthesisCode1
Eta Inversion: Designing an Optimal Eta Function for Diffusion-based Real Image EditingCode1
Effective and Efficient Masked Image Generation ModelsCode1
PADL: Language-Directed Physics-Based Character ControlCode1
Equivariant Image ModelingCode1
Erasing Undesirable Influence in Diffusion ModelsCode1
Concept Conductor: Orchestrating Multiple Personalized Concepts in Text-to-Image SynthesisCode1
Entropy-driven Sampling and Training Scheme for Conditional Diffusion GenerationCode1
ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane ReflectionsCode1
Exploring constraints on CycleGAN-based CBCT enhancement for adaptive radiotherapyCode1
Normalizing Flows with Multi-Scale Autoregressive PriorsCode1
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion TeacherCode1
Paragraph-to-Image Generation with Information-Enriched Diffusion ModelCode1
ORES: Open-vocabulary Responsible Visual SynthesisCode1
Enhancing Scene Text Detectors with Realistic Text Image Synthesis Using Diffusion ModelsCode1
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion ModelsCode1
A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision TransformersCode1
Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image GenerationCode1
ColorSwap: A Color and Word Order Dataset for Multimodal EvaluationCode1
Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion ModelsCode1
Oracle Guided Image Synthesis with Relative QueriesCode1
NVAE: A Deep Hierarchical Variational AutoencoderCode1
Efficient High-Resolution Image-to-Image Translation using Multi-Scale Gradient U-NetCode1
OSSGAN: Open-Set Semi-Supervised Image GenerationCode1
Octree Transformer: Autoregressive 3D Shape Generation on Hierarchically Structured SequencesCode1
ACDiT: Interpolating Autoregressive Conditional Modeling and Diffusion TransformerCode1
Efficient Multimodal Sampling via Tempered Distribution FlowCode1
Efficient Neural Architecture for Text-to-Image SynthesisCode1
Efficient Personalization of Quantized Diffusion Model without BackpropagationCode1
Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit DetectionCode1
Openstory++: A Large-scale Dataset and Benchmark for Instance-aware Open-domain Visual StorytellingCode1
Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion ModelsCode1
A General and Adaptive Robust Loss FunctionCode1
Enhanced Balancing GAN: Minority-class Image GenerationCode1
Vision-Language Synthetic Data Enhances Echocardiography Downstream TasksCode1
EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion ModelsCode1
On the Robustness of Latent Diffusion ModelsCode1
Out-of-distribution Detection via Frequency-regularized Generative ModelsCode1
Efficient-VDVAE: Less is moreCode1
End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure ImagesCode1
End-to-End Diffusion Latent Optimization Improves Classifier GuidanceCode1
Maximum Likelihood Training of Score-Based Diffusion ModelsCode1
Making Convolutional Networks Shift-Invariant AgainCode1
On Leveraging Pretrained GANs for Generation with Limited DataCode1
On Evaluation Metrics for Graph Generative ModelsCode1
SofGAN: A Portrait Image Generator with Dynamic StylingCode1
ENAT: Rethinking Spatial-temporal Interactions in Token-based 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