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 2201–2250 of 6689 papers

TitleStatusHype
PALATE: Peculiar Application of the Law of Total Expectation to Enhance the Evaluation of Deep Generative ModelsCode0
Progressive Augmentation of GANsCode0
Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I ModelsCode0
PAGER: Progressive Attribute-Guided Extendable Robust Image GenerationCode0
Class-Splitting Generative Adversarial NetworksCode0
Array Camera Image Fusion using Physics-Aware TransformersCode0
Overcoming the Disentanglement vs Reconstruction Trade-off via Jacobian SupervisionCode0
Adversarial Out-domain Examples for Generative ModelsCode0
AR-RAG: Autoregressive Retrieval Augmentation for Image GenerationCode0
Generalized Compressed Sensing for Image Reconstruction with Diffusion Probabilistic ModelsCode0
Optimal Eye Surgeon: Finding Image Priors through Sparse Generators at InitializationCode0
A Robust Attentional Framework for License Plate Recognition in the WildCode0
Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion ModelsCode0
Open-Source Acceleration of Stable-Diffusion.cpp Deployable on All DevicesCode0
Class-Distinct and Class-Mutual Image Generation with GANsCode0
Class-Continuous Conditional Generative Neural Radiance FieldCode0
P^2-GAN: Efficient Style Transfer Using Single Style ImageCode0
PasteGAN: A Semi-Parametric Method to Generate Image from Scene GraphCode0
ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion DesignCode0
On the Issues of TrueDepth Sensor Data for Computer Vision Tasks Across Different iPad GenerationsCode0
On the Diversity of Realistic Image SynthesisCode0
DPGEN: Differentially Private Generative Energy-Guided Network for Natural Image SynthesisCode0
CIGLI: Conditional Image Generation from Language & ImageCode0
On the Cultural Gap in Text-to-Image GenerationCode0
On GANs and GMMsCode0
On gradient regularizers for MMD GANsCode0
A DNN Optimizer that Improves over AdaBelief by Suppression of the Adaptive Stepsize RangeCode0
On Learning 3D Face Morphable Model from In-the-wild ImagesCode0
Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANsCode0
DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited DataCode0
DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric FinetuningCode0
ChefFusion: Multimodal Foundation Model Integrating Recipe and Food Image GenerationCode0
One-shot Generative Domain Adaptation in 3D GANsCode0
On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion ModelsCode0
AdversarialNAS: Adversarial Neural Architecture Search for GANsCode0
DivTrackee versus DynTracker: Promoting Diversity in Anti-Facial Recognition against Dynamic FR StrategyCode0
Divide and Compose with Score Based Generative ModelsCode0
Offline Evaluation of Set-Based Text-to-Image GenerationCode0
Omni-Directional Image Generation from Single Snapshot ImageCode0
Diversity in deep generative models and generative AICode0
Observation-Guided Diffusion Probabilistic ModelsCode0
Object-driven Text-to-Image Synthesis via Adversarial TrainingCode0
Diversifying Semantic Image Synthesis and Editing via Class- and Layer-wise VAEsCode0
Diverse Semantic Image Editing with Style CodesCode0
Novel-view X-ray Projection Synthesis through Geometry-Integrated Deep LearningCode0
Diverse Image Generation with Diffusion Models and Cross Class Label Learning for Polyp ClassificationCode0
Character-Centric Story Visualization via Visual Planning and Token AlignmentCode0
Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out CodesCode0
Adversarially Learned InferenceCode0
Normalizing Flow-Based Metric for Image GenerationCode0
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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