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 601–625 of 6689 papers

TitleStatusHype
Do I look like a `cat.n.01` to you? A Taxonomy Image Generation Benchmark—0
DiT-Air: Revisiting the Efficiency of Diffusion Model Architecture Design in Text to Image Generation—0
AdvPaint: Protecting Images from Inpainting Manipulation via Adversarial Attention DisruptionCode1
Proxy-Tuning: Tailoring Multimodal Autoregressive Models for Subject-Driven Image Generation—0
MACS: Multi-source Audio-to-image Generation with Contextual Significance and Semantic AlignmentCode0
ExtremeAIGC: Benchmarking LMM Vulnerability to AI-Generated Extremist Content—0
Exploring Position Encoding in Diffusion U-Net for Training-free High-resolution Image Generation—0
Neighboring Autoregressive Modeling for Efficient Visual GenerationCode2
Zero-Shot Subject-Centric Generation for Creative Application Using Entropy Fusion—0
Leveraging Semantic Attribute Binding for Free-Lunch Color Control in Diffusion Models—0
Decoupled Doubly Contrastive Learning for Cross Domain Facial Action Unit Detection—0
NAMI: Efficient Image Generation via Progressive Rectified Flow Transformers—0
UniCombine: Unified Multi-Conditional Combination with Diffusion Transformer—0
Active Learning Inspired ControlNet Guidance for Augmenting Semantic Segmentation Datasets—0
FCaS: Fine-grained Cardiac Image Synthesis based on 3D Template Conditional Diffusion Model—0
PromptMap: An Alternative Interaction Style for AI-Based Image GenerationCode0
Revealing Unintentional Information Leakage in Low-Dimensional Facial Portrait RepresentationsCode0
DAMM-Diffusion: Learning Divergence-Aware Multi-Modal Diffusion Model for Nanoparticles Distribution PredictionCode0
Aligning Text to Image in Diffusion Models is Easier Than You ThinkCode1
OminiControl2: Efficient Conditioning for Diffusion TransformersCode5
A Deep Bayesian Nonparametric Framework for Robust Mutual Information Estimation—0
Robust Latent Matters: Boosting Image Generation with Sampling ErrorCode3
Layton: Latent Consistency Tokenizer for 1024-pixel Image Reconstruction and Generation by 256 TokensCode0
GarmentCrafter: Progressive Novel View Synthesis for Single-View 3D Garment Reconstruction and Editing—0
Generating Robot Constitutions & Benchmarks for Semantic Safety—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