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 2601–2650 of 6689 papers

TitleStatusHype
AnyLogo: Symbiotic Subject-Driven Diffusion System with Gemini Status—0
CacheQuant: Comprehensively Accelerated Diffusion Models—0
Cache Me if You Can: Accelerating Diffusion Models through Block Caching—0
Diffusion-based generation of Histopathological Whole Slide Images at a Gigapixel scale—0
AnyFace: Free-style Text-to-Face Synthesis and Manipulation—0
Interactive Image Generation Using Scene Graphs—0
Diffusion-based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images—0
Diffusion-Based Approaches in Medical Image Generation and Analysis—0
C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis—0
AnyDressing: Customizable Multi-Garment Virtual Dressing via Latent Diffusion Models—0
Diffusion Autoencoders for Few-shot Image Generation in Hyperbolic Space—0
Diffusion Autoencoders are Scalable Image Tokenizers—0
Bridging Scales in Map Generation: A scale-aware cascaded generative mapping framework for seamless and consistent multi-scale cartographic representation—0
Adversarial Attack Against Images Classification based on Generative Adversarial Networks—0
High-Fidelity Image Compression with Score-based Generative Models—0
DiffusionAct: Controllable Diffusion Autoencoder for One-shot Face Reenactment—0
Buster: Implanting Semantic Backdoor into Text Encoder to Mitigate NSFW Content Generation—0
DiffuseRAW: End-to-End Generative RAW Image Processing for Low-Light Images—0
DiffuseKronA: A Parameter Efficient Fine-tuning Method for Personalized Diffusion Models—0
Build-A-Scene: Interactive 3D Layout Control for Diffusion-Based Image Generation—0
An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks—0
DiffuseGAE: Controllable and High-fidelity Image Manipulation from Disentangled Representation—0
Diffuse and Disperse: Image Generation with Representation Regularization—0
DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis—0
DiffUCD:Unsupervised Hyperspectral Image Change Detection with Semantic Correlation Diffusion Model—0
BudgetFusion: Perceptually-Guided Adaptive Diffusion Models—0
Advancing Video Quality Assessment for AIGC—0
Compact Scene Graphs for Layout Composition and Patch Retrieval—0
High-Fidelity Image Generation With Fewer Labels—0
DiffSSC: Semantic LiDAR Scan Completion using Denoising Diffusion Probabilistic Models—0
Bringing together invertible UNets with invertible attention modules for memory-efficient diffusion models—0
HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models—0
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation—0
Diffscaler: Enhancing the Generative Prowess of Diffusion Transformers—0
Advancing Urban Renewal: An Automated Approach to Generating Historical Arcade Facades with Stable Diffusion Models—0
DiffS2UT: A Semantic Preserving Diffusion Model for Textless Direct Speech-to-Speech Translation—0
BRICS: Bi-level feature Representation of Image CollectionS—0
A4A: Adapter for Adapter Transfer via All-for-All Mapping for Cross-Architecture Models—0
High-Fidelity Diffusion-based Image Editing—0
Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model—0
Anti-Aesthetics: Protecting Facial Privacy against Customized Text-to-Image Synthesis—0
DiffPose: SpatioTemporal Diffusion Model for Video-Based Human Pose Estimation—0
Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning—0
Diff-Plugin: Revitalizing Details for Diffusion-based Low-level Tasks—0
A Novel Generator with Auxiliary Branch for Improving GAN Performance—0
Diff-Oracle: Deciphering Oracle Bone Scripts with Controllable Diffusion Model—0
DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer—0
Bridging the gap between AI and Healthcare sides: towards developing clinically relevant AI-powered diagnosis systems—0
A 2-Stage Model for Vehicle Class and Orientation Detection with Photo-Realistic Image Generation—0
Hierarchical Vision-Language Alignment for Text-to-Image Generation via Diffusion Models—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