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 1401–1450 of 6689 papers

TitleStatusHype
Edge-preserving noise for diffusion modelsCode1
Few-Shot Adaptation of Generative Adversarial NetworksCode1
Few-shot Defect Image Generation based on Consistency ModelingCode1
Few-Shot Defect Image Generation via Defect-Aware Feature ManipulationCode1
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language ModelsCode1
Simultaneous Image-to-Zero and Zero-to-Noise: Diffusion Models with Analytical Image AttenuationCode1
Latent Denoising Diffusion GAN: Faster sampling, Higher image qualityCode1
LAFITE: Towards Language-Free Training for Text-to-Image GenerationCode1
An Attentive-based Generative Model for Medical Image SynthesisCode1
LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation?Code1
DeLoRA: Decoupling Angles and Strength in Low-rank AdaptationCode1
Decoupling Global and Local Representations via Invertible Generative FlowsCode1
Dual Pyramid Generative Adversarial Networks for Semantic Image SynthesisCode1
DyDiT++: Dynamic Diffusion Transformers for Efficient Visual GenerationCode1
Anchor Token Matching: Implicit Structure Locking for Training-free AR Image EditingCode1
Finetuning CLIP to Reason about Pairwise DifferencesCode1
Dual-Domain Image Synthesis using Segmentation-Guided GANCode1
Automatic Evaluation for Text-to-image Generation: Task-decomposed Framework, Distilled Training, and Meta-evaluation BenchmarkCode1
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion ModelsCode1
DeepCalliFont: Few-shot Chinese Calligraphy Font Synthesis by Integrating Dual-modality Generative ModelsCode1
BézierSketch: A generative model for scalable vector sketchesCode1
Correcting Diffusion Generation through ResamplingCode1
KUNet: Imaging Knowledge-Inspired Single HDR Image ReconstructionCode1
DStruct2Design: Data and Benchmarks for Data Structure Driven Generative Floor Plan DesignCode1
Dual Attention GANs for Semantic Image SynthesisCode1
FLAME Diffuser: Wildfire Image Synthesis using Mask Guided DiffusionCode1
Co-Reinforcement Learning for Unified Multimodal Understanding and GenerationCode1
Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative ModelsCode1
Dual Contrastive Loss and Attention for GANsCode1
Knowledge Distillation in Iterative Generative Models for Improved Sampling SpeedCode1
Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit EditingCode1
An Empirical Study of GPT-4o Image Generation CapabilitiesCode1
Dual-Diffusion: Dual Conditional Denoising Diffusion Probabilistic Models for Blind Super-Resolution Reconstruction in RSIsCode1
Learning to Reconstruct Accelerated MRI Through K-space Cold Diffusion without NoiseCode1
Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical ImagingCode1
FlexDiT: Dynamic Token Density Control for Diffusion TransformerCode1
A Dataset and Model for Realistic License Plate DeblurringCode1
FlexiFilm: Long Video Generation with Flexible ConditionsCode1
Learning Energy-Based Models by Diffusion Recovery LikelihoodCode1
DPImageBench: A Unified Benchmark for Differentially Private Image SynthesisCode1
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model StatisticsCode1
Draw ALL Your Imagine: A Holistic Benchmark and Agent Framework for Complex Instruction-based Image GenerationCode1
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 BenchmarkCode1
Aligning Text to Image in Diffusion Models is Easier Than You ThinkCode1
CookGAN: Meal Image Synthesis from IngredientsCode1
Meta ControlNet: Enhancing Task Adaptation via Meta LearningCode1
DRAW: A Recurrent Neural Network For Image GenerationCode1
Bi-level Feature Alignment for Versatile Image Translation and ManipulationCode1
Generalized Energy Based ModelsCode1
KDEformer: Accelerating Transformers via Kernel Density EstimationCode1
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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