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
Evolutionary Caching to Accelerate Your Off-the-Shelf Diffusion ModelCode1
P+: Extended Textual Conditioning in Text-to-Image GenerationCode1
Evaluating Image Hallucination in Text-to-Image Generation with Question-AnsweringCode1
Personalized Image Generation with Large Multimodal ModelsCode1
ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane ReflectionsCode1
Making Convolutional Networks Shift-Invariant AgainCode1
EVALALIGN: Supervised Fine-Tuning Multimodal LLMs with Human-Aligned Data for Evaluating Text-to-Image ModelsCode1
Personalized Text-to-Image Generation with Auto-Regressive ModelsCode1
PD-GAN: Probabilistic Diverse GAN for Image InpaintingCode1
ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language GenerationCode1
PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face InpaintingCode1
PEA-Diffusion: Parameter-Efficient Adapter with Knowledge Distillation in non-English Text-to-Image GenerationCode1
ESVAE: An Efficient Spiking Variational Autoencoder with Reparameterizable Poisson Spiking SamplingCode1
Erasing Undesirable Influence in Diffusion ModelsCode1
Evaluating the feasibility of using Generative Models to generate Chest X-Ray DataCode1
Embedding an Ethical Mind: Aligning Text-to-Image Synthesis via Lightweight Value OptimizationCode1
SofGAN: A Portrait Image Generator with Dynamic StylingCode1
Equivariant Image ModelingCode1
DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion ModelCode1
PathLDM: Text conditioned Latent Diffusion Model for HistopathologyCode1
PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRICode1
Eta Inversion: Designing an Optimal Eta Function for Diffusion-based Real Image EditingCode1
Personalized Visual Instruction TuningCode1
Elucidating the solution space of extended reverse-time SDE for diffusion modelsCode1
Elucidating the Exposure Bias in Diffusion ModelsCode1
Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit DetectionCode1
Elucidating the design space of language models for image generationCode1
Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion ModelsCode1
Parts of Speech-Grounded Subspaces in Vision-Language ModelsCode1
Elucidating The Design Space of Classifier-Guided Diffusion GenerationCode1
Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion ModelsCode1
Enhancing Scene Text Detectors with Realistic Text Image Synthesis Using Diffusion ModelsCode1
End-to-End Diffusion Latent Optimization Improves Classifier GuidanceCode1
Ensembling Off-the-shelf Models for GAN TrainingCode1
Partition-Guided GANsCode1
PatchDPO: Patch-level DPO for Finetuning-free Personalized Image GenerationCode1
PanoLlama: Generating Endless and Coherent Panoramas with Next-Token-Prediction LLMsCode1
Paragraph-to-Image Generation with Information-Enriched Diffusion ModelCode1
ElasticDiffusion: Training-free Arbitrary Size Image Generation through Global-Local Content SeparationCode1
Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-LocalizationCode1
Entropy-driven Sampling and Training Scheme for Conditional Diffusion GenerationCode1
Discovering and Mitigating Visual Biases through Keyword ExplanationCode1
EigenGAN: Layer-Wise Eigen-Learning for GANsCode1
3D^2-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar ModelingCode1
Parallel Sampling of Diffusion ModelsCode1
Patched Denoising Diffusion Models For High-Resolution Image SynthesisCode1
Enhanced Balancing GAN: Minority-class Image GenerationCode1
EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion ModelsCode1
Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular ValuesCode1
PTDiffusion: Free Lunch for Generating Optical Illusion Hidden Pictures with Phase-Transferred Diffusion ModelCode1
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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