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

Showing 14011425 of 6689 papers

TitleStatusHype
Clinical Evaluation of Medical Image Synthesis: A Case Study in Wireless Capsule Endoscopy0
DiffPAD: Denoising Diffusion-based Adversarial Patch DecontaminationCode0
In-Context LoRA for Diffusion TransformersCode7
Image Synthesis with Class-Aware Semantic Diffusion Models for Surgical Scene Segmentation0
EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like SketchingCode1
Latent Diffusion, Implicit Amplification: Efficient Continuous-Scale Super-Resolution for Remote Sensing ImagesCode0
Identifying Drift, Diffusion, and Causal Structure from Temporal SnapshotsCode0
FlowDCN: Exploring DCN-like Architectures for Fast Image Generation with Arbitrary Resolution0
RelationBooth: Towards Relation-Aware Customized Object Generation0
st-DTPM: Spatial-Temporal Guided Diffusion Transformer Probabilistic Model for Delayed Scan PET Image Prediction0
Diffusion Beats Autoregressive: An Evaluation of Compositional Generation in Text-to-Image Models0
Multi-student Diffusion Distillation for Better One-step Generators0
MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts0
Private Synthetic Text Generation with Diffusion ModelsCode0
FairSkin: Fair Diffusion for Skin Disease Image Generation0
Discrete Modeling via Boundary Conditional Diffusion Processes0
HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion0
Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image SynthesisCode0
Volumetric Conditioning Module to Control Pretrained Diffusion Models for 3D Medical ImagesCode1
Fingerprints of Super Resolution Networks0
AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion modelsCode1
Meta-Learning for Speeding Up Large Model Inference in Decentralized Environments0
Murine AI excels at cats and cheese: Structural differences between human and mouse neurons and their implementation in generative AIsCode0
Extrapolating Prospective Glaucoma Fundus Images through Diffusion Model in Irregular Longitudinal Sequences0
Shallow Diffuse: Robust and Invisible Watermarking through Low-Dimensional Subspaces in Diffusion ModelsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Improved DDPMFID12.3Unverified
2ADMFID11.84Unverified
3BigGAN-deepFID8.1Unverified
4Polarity-BigGANFID6.82Unverified
5VQGAN+Transformer (k=mixed, p=1.0, a=0.005)FID6.59Unverified
6MaskGITFID6.18Unverified
7VQGAN+Transformer (k=600, p=1.0, a=0.05)FID5.2Unverified
8CDMFID4.88Unverified
9ADM-GFID4.59Unverified
10RINFID4.51Unverified
#ModelMetricClaimedVerifiedStatus
1PresGANFID52.2Unverified
2RESFLOWFID48.29Unverified
3Residual FlowFID46.37Unverified
4GLF+perceptual loss (ours)FID44.6Unverified
5ProdPoly no activation functionsFID40.45Unverified
6ProdPoly no activation functionsFID36.77Unverified
7ACGANFID35.47Unverified
8DenseFlow-74-10FID34.9Unverified
9NVAE w/ flowFID32.53Unverified
10QSNGANFID31.97Unverified
#ModelMetricClaimedVerifiedStatus
1GLIDE + CLSFID30.87Unverified
2GLIDE + CLIPFID30.46Unverified
3GLIDE + CLS-FREEFID29.22Unverified
4GLIDE + CLIP + CLS + CLS-FREEFID29.18Unverified
5PGMGANFID21.73Unverified
6CLR-GANFID20.27Unverified
7FMFID14.45Unverified
8CT (Direct Generation, NFE=1)FID13Unverified
9CT (Direct Generation, NFE=2)FID11.1Unverified
10GLIDE +CLSKID7.95Unverified