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 3201–3250 of 6689 papers

TitleStatusHype
Latent Diffusion, Implicit Amplification: Efficient Continuous-Scale Super-Resolution for Remote Sensing ImagesCode0
RelationBooth: Towards Relation-Aware Customized Object Generation—0
st-DTPM: Spatial-Temporal Guided Diffusion Transformer Probabilistic Model for Delayed Scan PET Image Prediction—0
Diffusion Beats Autoregressive: An Evaluation of Compositional Generation in Text-to-Image Models—0
Private Synthetic Text Generation with Diffusion ModelsCode0
Identifying Drift, Diffusion, and Causal Structure from Temporal SnapshotsCode0
FlowDCN: Exploring DCN-like Architectures for Fast Image Generation with Arbitrary Resolution—0
Multi-student Diffusion Distillation for Better One-step Generators—0
MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts—0
Discrete Modeling via Boundary Conditional Diffusion Processes—0
HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion—0
Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image SynthesisCode0
Fingerprints of Super Resolution Networks—0
FairSkin: Fair Diffusion for Skin Disease Image Generation—0
Murine AI excels at cats and cheese: Structural differences between human and mouse neurons and their implementation in generative AIsCode0
Meta-Learning for Speeding Up Large Model Inference in Decentralized Environments—0
Extrapolating Prospective Glaucoma Fundus Images through Diffusion Model in Irregular Longitudinal Sequences—0
CompGS: Unleashing 2D Compositionality for Compositional Text-to-3D via Dynamically Optimizing 3D Gaussians—0
Generator Matching: Generative modeling with arbitrary Markov processes—0
Classification under strategic adversary manipulation using pessimistic bilevel optimisation—0
Diff-CXR: Report-to-CXR generation through a disease-knowledge enhanced diffusion model—0
Image Generation from Image Captioning -- Invertible Approach—0
Copyright-Aware Incentive Scheme for Generative Art Models Using Hierarchical Reinforcement Learning—0
Your Image is Secretly the Last Frame of a Pseudo Video—0
High Resolution Seismic Waveform Generation using Denoising Diffusion—0
Decoding Diffusion: A Scalable Framework for Unsupervised Analysis of Latent Space Biases and Representations Using Natural Language Prompts—0
Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion—0
Towards Visual Text Design Transfer Across Languages—0
Multi-Scale Diffusion: Enhancing Spatial Layout in High-Resolution Panoramic Image Generation—0
Ali-AUG: Innovative Approaches to Labeled Data Augmentation using One-Step Diffusion Model—0
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation—0
Stable Consistency Tuning: Understanding and Improving Consistency ModelsCode0
Deep Generative Models for 3D Medical Image Synthesis—0
Generation of Indian Sign Language Letters, Numbers, and WordsCode0
Scalable Ranked Preference Optimization for Text-to-Image Generation—0
TAGE: Trustworthy Attribute Group Editing for Stable Few-shot Image Generation—0
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing—0
A Wavelet Diffusion GAN for Image Super-Resolution—0
FreeVS: Generative View Synthesis on Free Driving Trajectory—0
Medical Imaging Complexity and its Effects on GAN PerformanceCode0
Longitudinal Causal Image SynthesisCode0
Enhancing GANs with MMD Neural Architecture Search, PMish Activation Function, and Adaptive Rank DecompositionCode0
Dual-Model Defense: Safeguarding Diffusion Models from Membership Inference Attacks through Disjoint Data Splitting—0
DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization—0
IdenBAT: Disentangled Representation Learning for Identity-Preserved Brain Age TransformationCode0
MPDS: A Movie Posters Dataset for Image Generation with Diffusion Model—0
Altogether: Image Captioning via Re-aligning Alt-text—0
Offline Evaluation of Set-Based Text-to-Image GenerationCode0
Continuous Speech Synthesis using per-token Latent Diffusion—0
MedDiff-FM: A Diffusion-based Foundation Model for Versatile Medical Image Applications—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