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 1826–1850 of 6689 papers

TitleStatusHype
A Comprehensive Survey on Synthetic Infrared Image synthesis—0
Improving Synthetic Image Detection Towards Generalization: An Image Transformation PerspectiveCode2
Prompt Recovery for Image Generation Models: A Comparative Study of Discrete Optimizers—0
A Simple Early Exiting Framework for Accelerated Sampling in Diffusion ModelsCode1
3D-free meets 3D priors: Novel View Synthesis from a Single Image with Pretrained Diffusion Guidance—0
Artworks Reimagined: Exploring Human-AI Co-Creation through Body Prompting—0
ZePo: Zero-Shot Portrait Stylization with Faster SamplingCode1
Instruction Tuning-free Visual Token Complement for Multimodal LLMs—0
DAFT-GAN: Dual Affine Transformation Generative Adversarial Network for Text-Guided Image Inpainting—0
Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models—0
Cross-View Meets Diffusion: Aerial Image Synthesis with Geometry and Text GuidanceCode1
Openstory++: A Large-scale Dataset and Benchmark for Instance-aware Open-domain Visual StorytellingCode1
Data Generation Scheme for Thermal Modality with Edge-Guided Adversarial Conditional Diffusion ModelCode0
Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study—0
A comparative study of generative adversarial networks for image recognition algorithms based on deep learning and traditional methods—0
Concept Conductor: Orchestrating Multiple Personalized Concepts in Text-to-Image SynthesisCode1
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey—0
IPAdapter-Instruct: Resolving Ambiguity in Image-based Conditioning using Instruct Prompts—0
An Object is Worth 64x64 Pixels: Generating 3D Object via Image Diffusion—0
One Framework to Rule Them All: Unifying Multimodal Tasks with LLM Neural-Tuning—0
DreamLCM: Towards High-Quality Text-to-3D Generation via Latent Consistency ModelCode1
Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning ServicesCode0
Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation with Multimodal Generative PretrainingCode7
PanoFree: Tuning-Free Holistic Multi-view Image Generation with Cross-view Self-Guidance—0
LDFaceNet: Latent Diffusion-based Network for High-Fidelity Deepfake Generation—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