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 3701–3750 of 6689 papers

TitleStatusHype
Visual Car Brand Classification by Implementing a Synthetic Image Dataset Creation Pipeline—0
Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space—0
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling—0
Adv-KD: Adversarial Knowledge Distillation for Faster Diffusion SamplingCode0
Information Theoretic Text-to-Image Alignment—0
You Only Scan Once: Efficient Multi-dimension Sequential Modeling with LightNet—0
Cyclic image generation using chaotic dynamicsCode0
RIGID: A Training-free and Model-Agnostic Framework for Robust AI-Generated Image Detection—0
Learning 3D Robotics Perception using Inductive Priors—0
Boost Your Human Image Generation Model via Direct Preference Optimization—0
Quo Vadis ChatGPT? From Large Language Models to Large Knowledge Models—0
Going beyond Compositions, DDPMs Can Produce Zero-Shot InterpolationsCode0
MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter SelectionCode0
Topological Perspectives on Optimal Multimodal Embedding Spaces—0
Inpaint Biases: A Pathway to Accurate and Unbiased Image Generation—0
SketchTriplet: Self-Supervised Scenarized Sketch-Text-Image Triplet Generation—0
The ethical situation of DALL-E 2—0
Patch-enhanced Mask Encoder Prompt Image Generation—0
Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering—0
Multi-modal Generation via Cross-Modal In-Context LearningCode0
MindFormer: Semantic Alignment of Multi-Subject fMRI for Brain Decoding—0
Are Images Indistinguishable to Humans Also Indistinguishable to Classifiers?—0
The Poisson Midpoint Method for Langevin Dynamics: Provably Efficient Discretization for Diffusion Models—0
TIE: Revolutionizing Text-based Image Editing for Complex-Prompt Following and High-Fidelity Editing—0
RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance—0
Training-free Editioning of Text-to-Image Models—0
Unified Editing of Panorama, 3D Scenes, and Videos Through Disentangled Self-Attention Injection—0
Glauber Generative Model: Discrete Diffusion Models via Binary Classification—0
Anonymization Prompt Learning for Facial Privacy-Preserving Text-to-Image Generation—0
Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based DiscriminationCode0
Lateralization MLP: A Simple Brain-inspired Architecture for DiffusionCode0
Method and Software Tool for Generating Artificial Databases of Biomedical Images Based on Deep Neural Networks—0
ArtWeaver: Advanced Dynamic Style Integration via Diffusion Model—0
SG-Adapter: Enhancing Text-to-Image Generation with Scene Graph Guidance—0
Scaling Diffusion Mamba with Bidirectional SSMs for Efficient Image and Video Generation—0
OpFlowTalker: Realistic and Natural Talking Face Generation via Optical Flow Guidance—0
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models—0
Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models—0
Time Cell Inspired Temporal Codebook in Spiking Neural Networks for Enhanced Image Generation—0
Diffusion models for Gaussian distributions: Exact solutions and Wasserstein errors—0
FreeTuner: Any Subject in Any Style with Training-free Diffusion—0
Conditional Diffusion on Web-Scale Image Pairs leads to Diverse Image Variations—0
DLPO: Diffusion Model Loss-Guided Reinforcement Learning for Fine-Tuning Text-to-Speech Diffusion Models—0
The Disappearance of Timestep Embedding in Modern Time-Dependent Neural NetworksCode0
Bracket Diffusion: HDR Image Generation by Consistent LDR Denoising—0
LG-VQ: Language-Guided Codebook Learning—0
Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesis—0
A Study of Posterior Stability for Time-Series Latent Diffusion—0
Curriculum Direct Preference Optimization for Diffusion and Consistency ModelsCode0
MetaEarth: A Generative Foundation Model for Global-Scale Remote Sensing Image 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