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 2951–3000 of 6689 papers

TitleStatusHype
Towards the Unification of Generative and Discriminative Visual Foundation Model: A Survey—0
Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model InferenceCode2
Color Agnostic Cross-Spectral Disparity EstimationCode0
Local Conditional Controlling for Text-to-Image Diffusion Models—0
DreamDrone: Text-to-Image Diffusion Models are Zero-shot Perpetual View Generators—0
ArchiGuesser -- AI Art Architecture Educational GameCode0
PI3D: Efficient Text-to-3D Generation with Pseudo-Image Diffusion—0
VaLID: Variable-Length Input Diffusion for Novel View Synthesis—0
VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and GenerationCode1
VideoLCM: Video Latent Consistency Model—0
3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian SplattingCode2
LIME: Localized Image Editing via Attention Regularization in Diffusion Models—0
Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition TimeCode0
Agent Attention: On the Integration of Softmax and Linear AttentionCode2
ZeroRF: Fast Sparse View 360° Reconstruction with Zero Pretraining—0
ArcGAN: Generative Adversarial Networks for 3D Architectural Image Generation—0
FineControlNet: Fine-level Text Control for Image Generation with Spatially Aligned Text Control Injection—0
Fast Sampling Through The Reuse Of Attention Maps In Diffusion Models—0
DiffuseRAW: End-to-End Generative RAW Image Processing for Low-Light Images—0
Diffusion-based Blind Text Image Super-ResolutionCode1
SEEAvatar: Photorealistic Text-to-3D Avatar Generation with Constrained Geometry and Appearance—0
SpeedUpNet: A Plug-and-Play Adapter Network for Accelerating Text-to-Image Diffusion Models—0
The Lottery Ticket Hypothesis in Denoising: Towards Semantic-Driven InitializationCode1
Enhancing CT Image synthesis from multi-modal MRI data based on a multi-task neural network framework—0
ρ-Diffusion: A diffusion-based density estimation framework for computational physicsCode0
Clockwork Diffusion: Efficient Generation With Model-Step DistillationCode1
Time Series Diffusion Method: A Denoising Diffusion Probabilistic Model for Vibration Signal Generation—0
Diffusion Models Enable Zero-Shot Pose Estimation for Lower-Limb Prosthetic Users—0
AdapEdit: Spatio-Temporal Guided Adaptive Editing Algorithm for Text-Based Continuity-Sensitive Image EditingCode0
Knowledge-Aware Artifact Image Synthesis with LLM-Enhanced Prompting and Multi-Source SupervisionCode0
Semantic-aware Data Augmentation for Text-to-image SynthesisCode0
3DGEN: A GAN-based approach for generating novel 3D models from image data—0
Stable Rivers: A Case Study in the Application of Text-to-Image Generative Models for Earth Sciences—0
SimAC: A Simple Anti-Customization Method for Protecting Face Privacy against Text-to-Image Synthesis of Diffusion ModelsCode1
A Survey of Generative AI for Intelligent Transportation Systems: Road Transportation Perspective—0
Diffusion Cocktail: Mixing Domain-Specific Diffusion Models for Diversified Image GenerationsCode1
Harnessing LLM to Attack LLM-Guarded Text-to-Image ModelsCode1
DiffuVST: Narrating Fictional Scenes with Global-History-Guided Denoising Models—0
DiffMorpher: Unleashing the Capability of Diffusion Models for Image MorphingCode2
Boosting Latent Diffusion with Flow MatchingCode2
Image Content Generation with Causal ReasoningCode0
Learned representation-guided diffusion models for large-image generationCode1
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary InvestigationCode1
Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance ScaleCode1
User Friendly and Adaptable Discriminative AI: Using the Lessons from the Success of LLMs and Image Generation Models—0
Stellar: Systematic Evaluation of Human-Centric Personalized Text-to-Image Methods—0
Invariant Representation via Decoupling Style and Spurious Features from Images—0
UIEDP:Underwater Image Enhancement with Diffusion PriorCode1
PortraitBooth: A Versatile Portrait Model for Fast Identity-preserved Personalization—0
Semantic Image Synthesis for Abdominal CT—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