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 18011825 of 6689 papers

TitleStatusHype
MUSES: 3D-Controllable Image Generation via Multi-Modal Agent CollaborationCode1
A Grey-box Attack against Latent Diffusion Model-based Image Editing by Posterior Collapse0
Prompt-Agnostic Adversarial Perturbation for Customized Diffusion ModelsCode1
The Brittleness of AI-Generated Image Watermarking Techniques: Examining Their Robustness Against Visual Paraphrasing Attacks0
TraDiffusion: Trajectory-Based Training-Free Image GenerationCode2
Reconstruct Spine CT from Biplanar X-Rays via Diffusion Learning0
Anim-Director: A Large Multimodal Model Powered Agent for Controllable Animation Video GenerationCode3
SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP0
Deformation-aware GAN for Medical Image Synthesis with Substantially Misaligned Pairs0
PFDiff: Training-free Acceleration of Diffusion Models through the Gradient Guidance of Past and FutureCode1
SketchRef: A Benchmark Dataset and Evaluation Metrics for Automated Sketch Synthesis0
Efficient Image-to-Image Diffusion Classifier for Adversarial RobustnessCode1
An End-to-End Model for Photo-Sharing Multi-modal Dialogue GenerationCode0
Comparative Analysis of Generative Models: Enhancing Image Synthesis with VAEs, GANs, and Stable Diffusion0
JPEG-LM: LLMs as Image Generators with Canonical Codec Representations0
Accelerated Image-Aware Generative Diffusion Modeling0
METR: Image Watermarking with Large Number of Unique MessagesCode1
Multimodal Causal Reasoning Benchmark: Challenging Vision Large Language Models to Infer Causal Links Between Siamese ImagesCode1
Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based DecodingCode1
MagicFace: Training-free Universal-Style Human Image Customized Synthesis0
Boosting Unconstrained Face Recognition with Targeted Style Adversary0
SeLoRA: Self-Expanding Low-Rank Adaptation of Latent Diffusion Model for Medical Image Synthesis0
DiffSG: A Generative Solver for Network Optimization with Diffusion ModelCode1
DiffLoRA: Generating Personalized Low-Rank Adaptation Weights with Diffusion0
Hybrid SD: Edge-Cloud Collaborative Inference for Stable Diffusion Models0
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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