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 2051–2100 of 6689 papers

TitleStatusHype
Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNNCode1
Fully Spiking Denoising Diffusion Implicit ModelsCode1
GANwriting: Content-Conditioned Generation of Styled Handwritten Word ImagesCode1
Generating images from caption and vice versa via CLIP-Guided Generative Latent Space SearchCode1
From Image to Imuge: Immunized Image GenerationCode1
Frido: Feature Pyramid Diffusion for Complex Scene Image SynthesisCode1
From Face to Natural Image: Learning Real Degradation for Blind Image Super-ResolutionCode1
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANsCode1
FreeGraftor: Training-Free Cross-Image Feature Grafting for Subject-Driven Text-to-Image GenerationCode1
Frequency Domain Image Translation: More Photo-realistic, Better Identity-preservingCode1
Causal Inference via Style Transfer for Out-of-distribution GeneralisationCode1
DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion ModelCode1
Frame Interpolation with Consecutive Brownian Bridge DiffusionCode1
FPGAN-Control: A Controllable Fingerprint Generator for Training with Synthetic DataCode1
FreCaS: Efficient Higher-Resolution Image Generation via Frequency-aware Cascaded SamplingCode1
Forward-only Diffusion Probabilistic ModelsCode1
ForkGAN: Seeing into the Rainy NightCode1
Embedding an Ethical Mind: Aligning Text-to-Image Synthesis via Lightweight Value OptimizationCode1
SofGAN: A Portrait Image Generator with Dynamic StylingCode1
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion ModelsCode1
Making Convolutional Networks Shift-Invariant AgainCode1
Full-Glow: Fully conditional Glow for more realistic image generationCode1
Elucidating the solution space of extended reverse-time SDE for diffusion modelsCode1
Freestyle Layout-to-Image SynthesisCode1
Elucidating the Exposure Bias in Diffusion ModelsCode1
Elucidating the design space of language models for image generationCode1
Focal Frequency Loss for Image Reconstruction and SynthesisCode1
FooDI-ML: a large multi-language dataset of food, drinks and groceries images and descriptionsCode1
Elucidating The Design Space of Classifier-Guided Diffusion GenerationCode1
Foreground-Background Separation through Concept Distillation from Generative Image Foundation ModelsCode1
Flow Contrastive Estimation of Energy-Based ModelsCode1
End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure ImagesCode1
End-to-End Diffusion Latent Optimization Improves Classifier GuidanceCode1
ElasticDiffusion: Training-free Arbitrary Size Image Generation through Global-Local Content SeparationCode1
Fundamental Benefit of Alternating Updates in Minimax OptimizationCode1
FunkNN: Neural Interpolation for Functional GenerationCode1
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion ModelsCode1
A General and Adaptive Robust Loss FunctionCode1
GAN-based Matrix Factorization for Recommender SystemsCode1
Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-LocalizationCode1
FlexIT: Towards Flexible Semantic Image TranslationCode1
EigenGAN: Layer-Wise Eigen-Learning for GANsCode1
3D^2-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar ModelingCode1
GANSeg: Learning to Segment by Unsupervised Hierarchical Image GenerationCode1
FlexiFilm: Long Video Generation with Flexible ConditionsCode1
Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability VolumesCode1
CoCosNet v2: Full-Resolution Correspondence Learning for Image TranslationCode1
EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion ModelsCode1
GLeaD: Improving GANs with A Generator-Leading TaskCode1
IGUANe: a 3D generalizable CycleGAN for multicenter harmonization of brain MR imagesCode1
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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