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 1101–1150 of 6689 papers

TitleStatusHype
DMM: Building a Versatile Image Generation Model via Distillation-Based Model MergingCode1
DocSynth: A Layout Guided Approach for Controllable Document Image SynthesisCode1
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image SynthesisCode1
Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised ApproachCode1
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image SynthesisCode1
Blackout Diffusion: Generative Diffusion Models in Discrete-State SpacesCode1
An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt LearningCode1
Harnessing LLM to Attack LLM-Guarded Text-to-Image ModelsCode1
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training DataCode1
ILVR: Conditioning Method for Denoising Diffusion Probabilistic ModelsCode1
Image-Based Virtual Try-On: A SurveyCode1
BIVDiff: A Training-Free Framework for General-Purpose Video Synthesis via Bridging Image and Video Diffusion ModelsCode1
Diversity-aware Channel Pruning for StyleGAN CompressionCode1
BIVA: A Very Deep Hierarchy of Latent Variables for Generative ModelingCode1
AniFaceGAN: Animatable 3D-Aware Face Image Generation for Video AvatarsCode1
Diversified in-domain synthesis with efficient fine-tuning for few-shot classificationCode1
Illiterate DALL-E Learns to ComposeCode1
Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation ModelsCode1
Bipartite Graph Reasoning GANs for Person Pose and Facial Image SynthesisCode1
Diverse Semantic Image Synthesis via Probability Distribution ModelingCode1
Bipartite Graph Reasoning GANs for Person Image GenerationCode1
Angle Domain Guidance: Latent Diffusion Requires Rotation Rather Than ExtrapolationCode1
Diverse Image Synthesis from Semantic Layouts via Conditional IMLECode1
DStruct2Design: Data and Benchmarks for Data Structure Driven Generative Floor Plan DesignCode1
Image Captions are Natural Prompts for Text-to-Image ModelsCode1
Image Generation From Small Datasets via Batch Statistics AdaptationCode1
ID-Booth: Identity-consistent Face Generation with Diffusion ModelsCode1
DIVA: A Dirichlet Process Mixtures Based Incremental Deep Clustering Algorithm via Variational Auto-EncoderCode1
DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial NetworkCode1
IDF-CR: Iterative Diffusion Process for Divide-and-Conquer Cloud Removal in Remote-sensing ImagesCode1
Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly DetectionCode1
Hybrid Quantum-Classical Generative Adversarial Network for High Resolution Image GenerationCode1
Binary Latent DiffusionCode1
DiTAS: Quantizing Diffusion Transformers via Enhanced Activation SmoothingCode1
Fully Hyperbolic Convolutional Neural Networks for Computer VisionCode1
IDProtector: An Adversarial Noise Encoder to Protect Against ID-Preserving Image GenerationCode1
Bi-LORA: A Vision-Language Approach for Synthetic Image DetectionCode1
Bi-level Feature Alignment for Versatile Image Translation and ManipulationCode1
A Neural Dirichlet Process Mixture Model for Task-Free Continual LearningCode1
HWD: A Novel Evaluation Score for Styled Handwritten Text GenerationCode1
Dissolving Is Amplifying: Towards Fine-Grained Anomaly DetectionCode1
BIKED: A Dataset for Computational Bicycle Design with Machine Learning BenchmarksCode1
Diverse Image Generation via Self-Conditioned GANsCode1
Distribution-Aware Data Expansion with Diffusion ModelsCode1
Complementary Feature Enhanced Network with Vision Transformer for Image DehazingCode1
If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by SelectionCode1
A Dataset and Model for Realistic License Plate DeblurringCode1
BIGbench: A Unified Benchmark for Evaluating Multi-dimensional Social Biases in Text-to-Image ModelsCode1
BiDM: Pushing the Limit of Quantization for Diffusion ModelsCode1
Bidirectional Consistency ModelsCode1
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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