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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2101–2150 of 6689 papers

TitleStatusHype
ACDiT: Interpolating Autoregressive Conditional Modeling and Diffusion TransformerCode1
Generative Adversarial NetworksCode1
From Image to Imuge: Immunized Image GenerationCode1
GANSeg: Learning to Segment by Unsupervised Hierarchical Image GenerationCode1
A Complete Recipe for Diffusion Generative ModelsCode1
Histo-fetch -- On-the-fly processing of gigapixel whole slide images simplifies and speeds neural network trainingCode1
Improving GANs for Long-Tailed Data through Group Spectral RegularizationCode1
PromptCharm: Text-to-Image Generation through Multi-modal Prompting and RefinementCode1
Enhancing CT Image synthesis from multi-modal MRI data based on a multi-task neural network framework—0
ComfyGPT: A Self-Optimizing Multi-Agent System for Comprehensive ComfyUI Workflow Generation—0
Efficient-VQGAN: Towards High-Resolution Image Generation with Efficient Vision Transformers—0
ComfyGI: Automatic Improvement of Image Generation Workflows—0
Efficient Transfer Learning in Diffusion Models via Adversarial Noise—0
ComfyGen: Prompt-Adaptive Workflows for Text-to-Image Generation—0
Efficient Training with Denoised Neural Weights—0
Efficient training for future video generation based on hierarchical disentangled representation of latent variables—0
Combining Transformer Generators with Convolutional Discriminators—0
A Flexible Measurement of Diversity in Datasets with Random Network Distillation—0
SkyDiffusion: Ground-to-Aerial Image Synthesis with Diffusion Models and BEV Paradigm—0
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection—0
Efficient Scaling of Diffusion Transformers for Text-to-Image Generation—0
Affordance Diffusion: Synthesizing Hand-Object Interactions—0
Efficient Quantization Strategies for Latent Diffusion Models—0
Efficient Pruning of Text-to-Image Models: Insights from Pruning Stable Diffusion—0
Combining Generative Artificial Intelligence (AI) and the Internet: Heading towards Evolution or Degradation?—0
Combining Attention with Flow for Person Image Synthesis—0
ACCORD: Alleviating Concept Coupling through Dependence Regularization for Text-to-Image Diffusion Personalization—0
Foreground Focus: Enhancing Coherence and Fidelity in Camouflaged Image Generation—0
Efficient Multi-Instance Generation with Janus-Pro-Dirven Prompt Parsing—0
Combinets: Creativity via Recombination of Neural Networks—0
Efficient Listener: Dyadic Facial Motion Synthesis via Action Diffusion—0
A Simple Background Augmentation Method for Object Detection with Diffusion Model—0
Affective Image Filter: Reflecting Emotions from Text to Images—0
Efficient Hair Style Transfer with Generative Adversarial Networks—0
Combating Mode Collapse in GAN training: An Empirical Analysis using Hessian Eigenvalues—0
Efficient Generative Modeling with Residual Vector Quantization-Based Tokens—0
A Simple Approach to Unifying Diffusion-based Conditional Generation—0
Foodfusion: A Novel Approach for Food Image Composition via Diffusion Models—0
Efficient Flow Matching using Latent Variables—0
Efficient Exploration of Image Classifier Failures with Bayesian Optimization and Text-to-Image Models—0
Color Correction Meets Cross-Spectral Refinement: A Distribution-Aware Diffusion for Underwater Image Restoration—0
Efficient Diffusion Training through Parallelization with Truncated Karhunen-Loève Expansion—0
Color Alignment in Diffusion—0
AffectGAN: Affect-Based Generative Art Driven by Semantics—0
FoolSDEdit: Deceptively Steering Your Edits Towards Targeted Attribute-aware Distribution—0
Efficient Cross-Lingual Transfer for Chinese Stable Diffusion with Images as Pivots—0
Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion—0
Efficient-3DiM: Learning a Generalizable Single-image Novel-view Synthesizer in One Day—0
Collapse Resistant Deep Convolutional GAN for Multi-Object Image Generation—0
AFAN: Augmented Feature Alignment Network for Cross-Domain Object Detection—0
Show:102550
← PrevPage 43 of 134Next →
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