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 3401–3450 of 6689 papers

TitleStatusHype
PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud—0
ITI-GEN: Inclusive Text-to-Image GenerationCode1
Editing 3D Scenes via Text Prompts without Retraining—0
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion ModelsCode1
VeRi3D: Generative Vertex-based Radiance Fields for 3D Controllable Human Image Synthesis—0
Speech2Lip: High-fidelity Speech to Lip Generation by Learning from a Short VideoCode1
Style Generation: Image Synthesis based on Coarsely Matched Texts—0
Systematic Review of Techniques in Brain Image Synthesis using Deep Learning—0
MoEController: Instruction-based Arbitrary Image Manipulation with Mixture-of-Expert Controllers—0
Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning—0
Robot Localization and Mapping Final Report -- Sequential Adversarial Learning for Self-Supervised Deep Visual Odometry—0
Sequential Semantic Generative Communication for Progressive Text-to-Image Generation—0
Create Your World: Lifelong Text-to-Image Diffusion—0
From Text to Mask: Localizing Entities Using the Attention of Text-to-Image Diffusion ModelsCode0
T2IW: Joint Text to Image & Watermark Generation—0
Exploring Sparse MoE in GANs for Text-conditioned Image SynthesisCode1
Text2Control3D: Controllable 3D Avatar Generation in Neural Radiance Fields using Geometry-Guided Text-to-Image Diffusion Model—0
Reuse and Diffuse: Iterative Denoising for Text-to-Video GenerationCode1
Autoregressive Omni-Aware Outpainting for Open-Vocabulary 360-Degree Image GenerationCode0
Diffusion Model is Secretly a Training-free Open Vocabulary Semantic SegmenterCode1
My Art My Choice: Adversarial Protection Against Unruly AI—0
Diffusion on the Probability Simplex—0
Gradient Domain Diffusion Models for Image Synthesis—0
Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction TuningCode2
Exchanging-based Multimodal Fusion with TransformerCode1
Mutual Information Maximizing Quantum Generative Adversarial Network and Its Applications in Finance—0
Accelerating Markov Chain Monte Carlo sampling with diffusion modelsCode1
StyleAdapter: A Unified Stylized Image Generation Model—0
Relay Diffusion: Unifying diffusion process across resolutions for image synthesisCode2
Exploring Limits of Diffusion-Synthetic Training with Weakly Supervised Semantic Segmentation—0
RSDiff: Remote Sensing Image Generation from Text Using Diffusion Model—0
Diffusion Models with Deterministic Normalizing Flow PriorsCode0
Constrained CycleGAN for Effective Generation of Ultrasound Sector Images of Improved Spatial ResolutionCode0
RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Model—0
Bridge Diffusion Model: bridge non-English language-native text-to-image diffusion model with English communities—0
Diffusion Model with Clustering-based Conditioning for Food Image Generation—0
VideoGen: A Reference-Guided Latent Diffusion Approach for High Definition Text-to-Video Generation—0
PathLDM: Text conditioned Latent Diffusion Model for HistopathologyCode1
DiffuGen: Adaptable Approach for Generating Labeled Image Datasets using Stable Diffusion ModelsCode1
Iterative Multi-granular Image Editing using Diffusion Models—0
Unsupervised evaluation of GAN sample quality: Introducing the TTJac Score—0
Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images—0
Detecting Out-of-Context Image-Caption Pairs in News: A Counter-Intuitive MethodCode0
Diffusion Models for Interferometric Satellite Aperture RadarCode1
Generate Your Own Scotland: Satellite Image Generation Conditioned on MapsCode1
Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images—0
Improving Few-shot Image Generation by Structural Discrimination and Textural ModulationCode1
Semantic Image Synthesis via Class-Adaptive Cross-AttentionCode0
Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models—0
Elucidating the Exposure Bias in Diffusion 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