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 351–400 of 6689 papers

TitleStatusHype
VGNC: Reducing the Overfitting of Sparse-view 3DGS via Validation-guided Gaussian Number Control—0
Leveraging Generative AI Models to Explore Human Identity—0
Text-Audio-Visual-conditioned Diffusion Model for Video Saliency Prediction—0
Towards NSFW-Free Text-to-Image Generation via Safety-Constraint Direct Preference Optimization—0
PRISM: A Unified Framework for Photorealistic Reconstruction and Intrinsic Scene Modeling—0
Cross-attention for State-based model RWKV-7—0
Towards Explainable Fake Image Detection with Multi-Modal Large Language ModelsCode0
Exploring Language Patterns of Prompts in Text-to-Image Generation and Their Impact on Visual Diversity—0
Learning Joint ID-Textual Representation for ID-Preserving Image Synthesis—0
Point-Driven Interactive Text and Image Layer Editing Using Diffusion Models—0
Entropy Rectifying Guidance for Diffusion and Flow Models—0
Early Timestep Zero-Shot Candidate Selection for Instruction-Guided Image Editing—0
MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection—0
SupResDiffGAN a new approach for the Super-Resolution taskCode1
U-Shape Mamba: State Space Model for faster diffusionCode1
POET: Supporting Prompting Creativity and Personalization with Automated Expansion of Text-to-Image Generation—0
Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion—0
Personalized Text-to-Image Generation with Auto-Regressive ModelsCode1
ForgetMe: Evaluating Selective Forgetting in Generative Models—0
SMPL-GPTexture: Dual-View 3D Human Texture Estimation using Text-to-Image Generation Models—0
Privacy Protection Against Personalized Text-to-Image Synthesis via Cross-image Consistency Constraints—0
Science-T2I: Addressing Scientific Illusions in Image Synthesis—0
HiScene: Creating Hierarchical 3D Scenes with Isometric View Generation—0
Enhancing Person-to-Person Virtual Try-On with Multi-Garment Virtual Try-OffCode2
SmartFreeEdit: Mask-Free Spatial-Aware Image Editing with Complex Instruction UnderstandingCode1
ArtistAuditor: Auditing Artist Style Pirate in Text-to-Image Generation ModelsCode0
Wavelet-based Variational Autoencoders for High-Resolution Image Generation—0
Beyond Reconstruction: A Physics Based Neural Deferred Shader for Photo-realistic Rendering—0
Synthetic Data for Blood Vessel Network Extraction—0
Instruction-augmented Multimodal Alignment for Image-Text and Element Matching—0
Cobra: Efficient Line Art COlorization with BRoAder References—0
ACE: Attentional Concept Erasure in Diffusion Models—0
Anti-Aesthetics: Protecting Facial Privacy against Customized Text-to-Image Synthesis—0
Towards Safe Synthetic Image Generation On the Web: A Multimodal Robust NSFW Defense and Million Scale DatasetCode0
DMM: Building a Versatile Image Generation Model via Distillation-Based Model MergingCode1
InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer FrameworkCode5
Novel-view X-ray Projection Synthesis through Geometry-Integrated Deep LearningCode0
SIDME: Self-supervised Image Demoiréing via Masked Encoder-Decoder Reconstruction—0
Omni^2: Unifying Omnidirectional Image Generation and Editing in an Omni Model—0
ADT: Tuning Diffusion Models with Adversarial Supervision—0
AnimeDL-2M: Million-Scale AI-Generated Anime Image Detection and Localization in Diffusion Era—0
Bringing together invertible UNets with invertible attention modules for memory-efficient diffusion models—0
Seedream 3.0 Technical Report—0
Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual PerceptionCode1
Using LLMs as prompt modifier to avoid biases in AI image generators—0
REPA-E: Unlocking VAE for End-to-End Tuning of Latent Diffusion TransformersCode3
GeoUni: A Unified Model for Generating Geometry Diagrams, Problems and Problem SolutionsCode1
Art3D: Training-Free 3D Generation from Flat-Colored Illustration—0
Anchor Token Matching: Implicit Structure Locking for Training-free AR Image EditingCode1
InstructEngine: Instruction-driven Text-to-Image Alignment—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