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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6451–6500 of 6689 papers

TitleStatusHype
SPG-Net: Segmentation Prediction and Guidance Network for Image InpaintingCode0
Training Class-Imbalanced Diffusion Model Via Overlap OptimizationCode0
Δ-DiT: A Training-Free Acceleration Method Tailored for Diffusion TransformersCode0
DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion ModelsCode0
Automatic Generation of Semantic Parts for Face Image SynthesisCode0
DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited DataCode0
CAT: Contrastive Adapter Training for Personalized Image GenerationCode0
On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion ModelsCode0
Sphere Generative Adversarial Network Based on Geometric Moment MatchingCode0
Guided and Variance-Corrected Fusion with One-shot Style Alignment for Large-Content Image GenerationCode0
Eliminating Contextual Prior Bias for Semantic Image Editing via Dual-Cycle DiffusionCode0
Likelihood-Based Text-to-Image Evaluation with Patch-Level Perceptual and Semantic Credit AssignmentCode0
Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANsCode0
RAISE: Realness Assessment for Image Synthesis and EvaluationCode0
An Infinite Parade of Giraffes: Expressive Augmentation and Complexity Layers for Cartoon DrawingCode0
Guided Image Synthesis via Initial Image Editing in Diffusion ModelCode0
Understanding and Mitigating Compositional Issues in Text-to-Image Generative ModelsCode0
ControlThinker: Unveiling Latent Semantics for Controllable Image Generation through Visual ReasoningCode0
DR-GAN: Distribution Regularization for Text-to-Image GenerationCode0
Spherical Manifold Guided Diffusion Model for Panoramic Image GenerationCode0
Understanding and Stabilizing GANs' Training Dynamics with Control TheoryCode0
Dealing with Synthetic Data Contamination in Online Continual LearningCode0
Guiding InfoGAN with Semi-SupervisionCode0
LiteVAR: Compressing Visual Autoregressive Modelling with Efficient Attention and QuantizationCode0
Segmentation-Aware Generative Reinforcement Network (GRN) for Tissue Layer Segmentation in 3-D Ultrasound Images for Chronic Low-back Pain (cLBP) AssessmentCode0
Gungnir: Exploiting Stylistic Features in Images for Backdoor Attacks on Diffusion ModelsCode0
IP-Prompter: Training-Free Theme-Specific Image Generation via Dynamic Visual PromptingCode0
CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient InversionCode0
One-shot Generative Domain Adaptation in 3D GANsCode0
Understanding Attention for Vision-and-Language TasksCode0
RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion PathsCode0
HAIFIT: Human-to-AI Fashion Image TranslationCode0
A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective?Code0
ClothFlow: A Flow-Based Model for Clothed Person GenerationCode0
LLM-guided Instance-level Image Manipulation with Diffusion U-Net Cross-Attention MapsCode0
Distinguishing Natural and Computer-Generated Images using Multi-Colorspace fused EfficientNetCode0
Adversarial Information FactorizationCode0
RATLIP: Generative Adversarial CLIP Text-to-Image Synthesis Based on Recurrent Affine TransformationsCode0
Distorting Embedding Space for Safety: A Defense Mechanism for Adversarially Robust Diffusion ModelsCode0
A DNN Optimizer that Improves over AdaBelief by Suppression of the Adaptive Stepsize RangeCode0
Unconstrained Facial Action Unit Detection via Latent Feature DomainCode0
The Implicit Metropolis-Hastings AlgorithmCode0
Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Text-to-Image GenerationCode0
CLR-GAN: Improving GANs Stability and Quality via Consistent Latent Representation and ReconstructionCode0
AutoLoss: Learning Discrete Schedules for Alternate OptimizationCode0
On GANs and GMMsCode0
Training-free Dense-Aligned Diffusion Guidance for Modular Conditional Image SynthesisCode0
Variable Augmented Network for Invertible Modality Synthesis-FusionCode0
On gradient regularizers for MMD GANsCode0
Enhancing Neural Network Representations with Prior Knowledge-Based NormalizationCode0
Show:102550
← PrevPage 130 of 134Next →
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