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 2326–2350 of 6689 papers

TitleStatusHype
Grounded Compositional and Diverse Text-to-3D with Pretrained Multi-View Diffusion Model—0
Improving Training-free Conditional Diffusion Model via Fisher Information—0
Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic ModelsCode1
LM-IGTD: a 2D image generator for low-dimensional and mixed-type tabular data to leverage the potential of convolutional neural networks—0
Efficient Exploration of Image Classifier Failures with Bayesian Optimization and Text-to-Image Models—0
BlenderAlchemy: Editing 3D Graphics with Vision-Language Models—0
Trinity Detector:text-assisted and attention mechanisms based spectral fusion for diffusion generation image detection—0
Synthesizing Iris Images using Generative Adversarial Networks: Survey and Comparative Analysis—0
REBEL: Reinforcement Learning via Regressing Relative RewardsCode2
Denoising: from classical methods to deep CNNsCode1
Conditional Distribution Modelling for Few-Shot Image Synthesis with Diffusion Models—0
MuseumMaker: Continual Style Customization without Catastrophic Forgetting—0
PuLID: Pure and Lightning ID Customization via Contrastive AlignmentCode7
Sketch2Human: Deep Human Generation with Disentangled Geometry and Appearance Control—0
ID-Aligner: Enhancing Identity-Preserving Text-to-Image Generation with Reward Feedback Learning—0
GLoD: Composing Global Contexts and Local Details in Image Generation—0
FINEMATCH: Aspect-based Fine-grained Image and Text Mismatch Detection and Correction—0
From Parts to Whole: A Unified Reference Framework for Controllable Human Image GenerationCode2
SkinGEN: an Explainable Dermatology Diagnosis-to-Generation Framework with Interactive Vision-Language Models—0
Multimodal Large Language Model is a Human-Aligned Annotator for Text-to-Image Generation—0
MultiBooth: Towards Generating All Your Concepts in an Image from TextCode2
Accelerating Image Generation with Sub-path Linear Approximation Model—0
Towards Better Text-to-Image Generation Alignment via Attention Modulation—0
SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and GenerationCode4
ArtNeRF: A Stylized Neural Field for 3D-Aware Cartoonized Face SynthesisCode1
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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