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 2701–2750 of 6689 papers

TitleStatusHype
BooVAE: A Scalable Framework for Continual VAE Learning under Boosting Approach—0
3D-WAG: Hierarchical Wavelet-Guided Autoregressive Generation for High-Fidelity 3D Shapes—0
DDAE++: Enhancing Diffusion Models Towards Unified Generative and Discriminative Learning—0
HyperCGAN: Text-to-Image Synthesis with HyperNet-Modulated Conditional Generative Adversarial Networks—0
Bootstrapping Conditional GANs for Video Game Level Generation—0
ADT: Tuning Diffusion Models with Adversarial Supervision—0
HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight Trajectories—0
I2AM: Interpreting Image-to-Image Latent Diffusion Models via Attribution Maps—0
D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition—0
Boost Your Human Image Generation Model via Direct Preference Optimization—0
Devil is in the Detail: Towards Injecting Fine Details of Image Prompt in Image Generation via Conflict-free Guidance and Stratified Attention—0
An Introduction to Image Synthesis with Generative Adversarial Nets—0
Boosting Unconstrained Face Recognition with Targeted Style Adversary—0
Development of an Unpaired Deep Neural Network for Synthesizing X-ray Fluoroscopic Images from Digitally Reconstructed Tomography in Image Guided Radiotherapy—0
Adoption of Watermarking Measures for AI-Generated Content and Implications under the EU AI Act—0
An Interpretable Generative Model for Handwritten Digit Image Synthesis—0
HYPE-C: Evaluating Image Completion Models Through Standardized Crowdsourcing—0
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models—0
Perceptual underwater image enhancement with deep learning and physical priors—0
Boosting Resolution Generalization of Diffusion Transformers with Randomized Positional Encodings—0
HybridQ: Hybrid Classical-Quantum Generative Adversarial Network for Skin Disease Image Generation—0
Boosting Medical Image Synthesis via Registration-guided Consistency and Disentanglement Learning—0
Detecting Malicious Concepts Without Image Generation in AIGC—0
An Intermediate Fusion ViT Enables Efficient Text-Image Alignment in Diffusion Models—0
An Initial Exploration of Default Images in Text-to-Image Generation—0
Detecting High-Quality GAN-Generated Face Images using Neural Networks—0
Detecting Face Synthesis Using a Concealed Fusion Model—0
A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images—0
Hybrid SD: Edge-Cloud Collaborative Inference for Stable Diffusion Models—0
HYPE: Human-eYe Perceptual Evaluation of Generative Models—0
Detecting Dataset Abuse in Fine-Tuning Stable Diffusion Models for Text-to-Image Synthesis—0
Detect-and-Guide: Self-regulation of Diffusion Models for Safe Text-to-Image Generation via Guideline Token Optimization—0
DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception—0
Boosting Few-Shot Detection with Large Language Models and Layout-to-Image Synthesis—0
Adma-GAN: Attribute-Driven Memory Augmented GANs for Text-to-Image Generation—0
Boosting Diffusion Models with Moving Average Sampling in Frequency Domain—0
Generative Models in Computational Pathology: A Comprehensive Survey on Methods, Applications, and Challenges—0
Detailed Human-Centric Text Description-Driven Large Scene Synthesis—0
Boosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual Prompts—0
An Improved Method for Personalizing Diffusion Models—0
Hunyuan-Game: Industrial-grade Intelligent Game Creation Model—0
Designing GANs: A Likelihood Ratio Approach—0
Designing Counterfactual Generators using Deep Model Inversion—0
An Improved Composite Functional Gradient Learning by Wasserstein Regularization for Generative adversarial networks—0
Designing a Conditional Prior Distribution for Flow-Based Generative Models—0
Book Cover Synthesis from the Summary—0
An Impartial Transformer for Story Visualization—0
DesignDiffusion: High-Quality Text-to-Design Image Generation with Diffusion Models—0
BodyMetric: Evaluating the Realism of Human Bodies in Text-to-Image Generation—0
Synthetic dual image generation for reduction of labeling efforts in semantic segmentation of micrographs with a customized metric function—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