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 1901–1950 of 6689 papers

TitleStatusHype
Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion ModelsCode1
ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram DigitizationCode1
Discovering and Mitigating Visual Biases through Keyword ExplanationCode1
Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image GenerationCode1
On the Difference of BERT-style and CLIP-style Text EncodersCode1
Noise Map Guidance: Inversion with Spatial Context for Real Image EditingCode1
Conditional Image Generation and Manipulation for User-Specified ContentCode1
NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANsCode1
Migrating Face Swap to Mobile Devices: A lightweight Framework and A Supervised Training SolutionCode1
MimicMotion: High-Quality Human Motion Video Generation with Confidence-aware Pose GuidanceCode1
EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion ModelsCode1
Magnitude Invariant Parametrizations Improve Hypernetwork LearningCode1
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion ModelsCode1
NocPlace: Nocturnal Visual Place Recognition via Generative and Inherited Knowledge TransferCode1
CLIP-Forge: Towards Zero-Shot Text-to-Shape GenerationCode1
Enhanced Balancing GAN: Minority-class Image GenerationCode1
Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit EditingCode1
CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIPCode1
A Cheaper and Better Diffusion Language Model with Soft-Masked NoiseCode1
NiftyNet: a deep-learning platform for medical imagingCode1
Noise Conditional Variational Score DistillationCode1
Conditional Diffusion Models for Weakly Supervised Medical Image SegmentationCode1
End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure ImagesCode1
CLIP-VQDiffusion : Langauge Free Training of Text To Image generation using CLIP and vector quantized diffusion modelCode1
Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual UnderstandingCode1
DStruct2Design: Data and Benchmarks for Data Structure Driven Generative Floor Plan DesignCode1
ENAT: Rethinking Spatial-temporal Interactions in Token-based Image SynthesisCode1
MM2Latent: Text-to-facial image generation and editing in GANs with multimodal assistanceCode1
MMM-RS: A Multi-modal, Multi-GSD, Multi-scene Remote Sensing Dataset and Benchmark for Text-to-Image GenerationCode1
End-to-End Diffusion Latent Optimization Improves Classifier GuidanceCode1
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image GenerationCode1
A Characteristic Function Approach to Deep Implicit Generative ModelingCode1
DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion ModelCode1
Dual Contrastive Loss and Attention for GANsCode1
A Survey on Leveraging Pre-trained Generative Adversarial Networks for Image Editing and RestorationCode1
Dual-Diffusion: Dual Conditional Denoising Diffusion Probabilistic Models for Blind Super-Resolution Reconstruction in RSIsCode1
NICE: Non-linear Independent Components EstimationCode1
Dual-Domain Image Synthesis using Segmentation-Guided GANCode1
Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document GenerationCode1
Total Generate: Cycle in Cycle Generative Adversarial Networks for Generating Human Faces, Hands, Bodies, and Natural ScenesCode1
Normalizing Flows with Multi-Scale Autoregressive PriorsCode1
Modeling Image Composition for Complex Scene GenerationCode1
Embedding an Ethical Mind: Aligning Text-to-Image Synthesis via Lightweight Value OptimizationCode1
Dual Pyramid Generative Adversarial Networks for Semantic Image SynthesisCode1
CNN-generated images are surprisingly easy to spot... for nowCode1
Modulated Contrast for Versatile Image SynthesisCode1
Elucidating the solution space of extended reverse-time SDE for diffusion modelsCode1
MoFaNeRF: Morphable Facial Neural Radiance FieldCode1
Synthetic-Neuroscore: Using A Neuro-AI Interface for Evaluating Generative Adversarial NetworksCode1
Elucidating the design space of language models for image generationCode1
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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