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 3101–3125 of 6689 papers

TitleStatusHype
Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment—0
IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework—0
CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis—0
CapHDR2IR: Caption-Driven Transfer from Visible Light to Infrared Domain—0
Text-to-Image Synthesis: A Decade Survey—0
semantic image synthesis of anime characters based on conditional generative adversarial networksCode0
Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models—0
From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task—0
Controllable Human Image Generation with Personalized Multi-Garments—0
Factorized Visual Tokenization and Generation—0
Noise Diffusion for Enhancing Semantic Faithfulness in Text-to-Image SynthesisCode0
AnySynth: Harnessing the Power of Image Synthetic Data Generation for Generalized Vision-Language Tasks—0
Visual Counter Turing Test (VCT^2): Discovering the Challenges for AI-Generated Image Detection and Introducing Visual AI Index (V_AI)—0
Importance-Based Token Merging for Efficient Image and Video Generation—0
Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image GeneratorCode0
Gradient-Free Classifier Guidance for Diffusion Model Sampling—0
MUNBa: Machine Unlearning via Nash BargainingCode0
ConsistentAvatar: Learning to Diffuse Fully Consistent Talking Head Avatar with Temporal Guidance—0
Interactive Visual Assessment for Text-to-Image Generation Models—0
Efficient Pruning of Text-to-Image Models: Insights from Pruning Stable Diffusion—0
Unsupervised Multi-view UAV Image Geo-localization via Iterative Rendering—0
Prioritize Denoising Steps on Diffusion Model Preference Alignment via Explicit Denoised Distribution Estimation—0
High-Resolution Image Synthesis via Next-Token Prediction—0
HeadRouter: A Training-free Image Editing Framework for MM-DiTs by Adaptively Routing Attention Heads—0
Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward—0
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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