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 4351–4400 of 6689 papers

TitleStatusHype
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large DatasetsCode0
Synthetic Shifts to Initial Seed Vector Exposes the Brittle Nature of Latent-Based Diffusion Models—0
AdaDiff: Adaptive Step Selection for Fast Diffusion Models—0
CatVersion: Concatenating Embeddings for Diffusion-Based Text-to-Image Personalization—0
ToddlerDiffusion: Interactive Structured Image Generation with Cascaded Schrödinger Bridge—0
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion ModelsCode0
WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space—0
GAN-Avatar: Controllable Personalized GAN-based Human Head Avatar—0
The Challenges of Image Generation Models in Generating Multi-Component Images—0
LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes—0
Guided Flows for Generative Modeling and Decision Making—0
A Somewhat Robust Image Watermark against Diffusion-based Editing ModelsCode0
GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via Blender-Oriented GPT Planning—0
LoCo: Locally Constrained Training-Free Layout-to-Image Synthesis—0
Advancing Urban Renewal: An Automated Approach to Generating Historical Arcade Facades with Stable Diffusion Models—0
Nepotistically Trained Generative-AI Models Collapse—0
NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation—0
An Image is Worth Multiple Words: Multi-attribute Inversion for Constrained Text-to-Image Synthesis—0
A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI—0
Quality and Quantity: Unveiling a Million High-Quality Images for Text-to-Image Synthesis in Fashion Design—0
MoVideo: Motion-Aware Video Generation with Diffusion Models—0
Mitigating Exposure Bias in Discriminator Guided Diffusion Models—0
Behavior Optimized Image Generation—0
Wasserstein Convergence Guarantees for a General Class of Score-Based Generative Models—0
Enhancing Object Coherence in Layout-to-Image SynthesisCode0
End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks—0
Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression—0
DIFFNAT: Improving Diffusion Image Quality Using Natural Image Statistics—0
Privacy Threats in Stable Diffusion Models—0
Single-Image 3D Human Digitization with Shape-Guided Diffusion—0
One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion—0
Uni-COAL: A Unified Framework for Cross-Modality Synthesis and Super-Resolution of MR ImagesCode0
Peer is Your Pillar: A Data-unbalanced Conditional GANs for Few-shot Image Generation—0
Diffusion-based generation of Histopathological Whole Slide Images at a Gigapixel scale—0
Finding AI-Generated Faces in the Wild—0
ChatAnything: Facetime Chat with LLM-Enhanced Personas—0
How do Minimum-Norm Shallow Denoisers Look in Function Space?—0
BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis—0
Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation—0
3DGAUnet: 3D generative adversarial networks with a 3D U-Net based generator to achieve the accurate and effective synthesis of clinical tumor image data for pancreatic cancer—0
L-WaveBlock: A Novel Feature Extractor Leveraging Wavelets for Generative Adversarial Networks—0
ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image—0
ControlStyle: Text-Driven Stylized Image Generation Using Diffusion Priors—0
SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation—0
LLM as an Art Director (LaDi): Using LLMs to improve Text-to-Media Generators—0
Reducing Spatial Fitting Error in Distillation of Denoising Diffusion ModelsCode0
Image Generation and Learning Strategy for Deep Document Forgery Detection—0
Energy-Calibrated VAE with Test Time Free LunchCode0
SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis—0
From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion ModelsCode0
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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