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 1851–1900 of 6689 papers

TitleStatusHype
Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit DetectionCode1
Synthetic-Neuroscore: Using A Neuro-AI Interface for Evaluating Generative Adversarial NetworksCode1
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image SynthesisCode1
DMM: Building a Versatile Image Generation Model via Distillation-Based Model MergingCode1
Network-to-Network Translation with Conditional Invertible Neural NetworksCode1
Network Bending of Diffusion Models for Audio-Visual GenerationCode1
On the Multi-modal Vulnerability of Diffusion ModelsCode1
Text-Guided Neural Image InpaintingCode1
Nested Diffusion Processes for Anytime Image GenerationCode1
Π-nets: Deep Polynomial Neural NetworksCode1
Neural RGB-D Surface ReconstructionCode1
EasyGen: Easing Multimodal Generation with BiDiffuser and LLMsCode1
Enhanced Balancing GAN: Minority-class Image GenerationCode1
EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion ModelsCode1
NeoBabel: A Multilingual Open Tower for Visual GenerationCode1
Negative Data AugmentationCode1
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion ModelsCode1
MARBLE: Music Audio Representation Benchmark for Universal EvaluationCode1
NeRF-GAN Distillation for Efficient 3D-Aware Generation with ConvolutionsCode1
CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image SynthesisCode1
ARINAR: Bi-Level Autoregressive Feature-by-Feature Generative ModelsCode1
Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style TransferCode1
Accelerating Diffusion Sampling with Optimized Time StepsCode1
ENAT: Rethinking Spatial-temporal Interactions in Token-based Image SynthesisCode1
End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure ImagesCode1
Masked and Adaptive Transformer for Exemplar Based Image TranslationCode1
Masked Diffusion Models Are Fast Distribution LearnersCode1
Conditional Image Synthesis With Auxiliary Classifier GANsCode1
Conditional Image Generation with Score-Based Diffusion ModelsCode1
Generating Diverse High-Fidelity Images with VQ-VAE-2Code1
ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram DigitizationCode1
CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel SynthesisCode1
End-to-End Diffusion Latent Optimization Improves Classifier GuidanceCode1
Evaluating Image Hallucination in Text-to-Image Generation with Question-AnsweringCode1
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language KnowledgeCode1
Draw ALL Your Imagine: A Holistic Benchmark and Agent Framework for Complex Instruction-based Image GenerationCode1
NeuroGen: activation optimized image synthesis for discovery neuroscienceCode1
Noise Map Guidance: Inversion with Spatial Context for Real Image EditingCode1
MDP: A Generalized Framework for Text-Guided Image Editing by Manipulating the Diffusion PathCode1
MedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT ImagesCode1
Omni-Dish: Photorealistic and Faithful Image Generation and Editing for Arbitrary Chinese DishesCode1
Elucidating the Exposure Bias in Diffusion ModelsCode1
Conditional Image Generation and Manipulation for User-Specified ContentCode1
Elucidating the design space of language models for image generationCode1
Elucidating the solution space of extended reverse-time SDE for diffusion modelsCode1
Elucidating The Design Space of Classifier-Guided Diffusion GenerationCode1
A Cheaper and Better Diffusion Language Model with Soft-Masked NoiseCode1
Embedding an Ethical Mind: Aligning Text-to-Image Synthesis via Lightweight Value OptimizationCode1
MVPbev: Multi-view Perspective Image Generation from BEV with Test-time Controllability and GeneralizabilityCode1
Conditional Diffusion Models for Weakly Supervised Medical Image SegmentationCode1
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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