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

Showing 9761000 of 6689 papers

TitleStatusHype
Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language LearnersCode1
ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language GenerationCode1
Erasing Undesirable Influence in Diffusion ModelsCode1
Artistic Glyph Image Synthesis via One-Stage Few-Shot LearningCode1
ESVAE: An Efficient Spiking Variational Autoencoder with Reparameterizable Poisson Spiking SamplingCode1
Image Generation for Efficient Neural Network Training in Autonomous Drone RacingCode1
SketchyCOCO: Image Generation from Freehand Scene SketchesCode1
ArtNeRF: A Stylized Neural Field for 3D-Aware Cartoonized Face SynthesisCode1
ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane ReflectionsCode1
AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion modelsCode1
Discovering Transferable Forensic Features for CNN-generated Images DetectionCode1
GIFD: A Generative Gradient Inversion Method with Feature Domain OptimizationCode1
Cached Multi-Lora Composition for Multi-Concept Image GenerationCode1
Discovering Interpretable Directions in the Semantic Latent Space of Diffusion ModelsCode1
C2N: Practical Generative Noise Modeling for Real-World DenoisingCode1
Anycost GANs for Interactive Image Synthesis and EditingCode1
Evaluating the feasibility of using Generative Models to generate Chest X-Ray DataCode1
CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI SynthesisCode1
A Scene-Text Synthesis Engine Achieved Through Learning from Decomposed Real-World DataCode1
2D medical image synthesis using transformer-based denoising diffusion probabilistic modelCode1
Discriminator-Cooperated Feature Map Distillation for GAN CompressionCode1
Evolving Normalization-Activation LayersCode1
GIRAFFE HD: A High-Resolution 3D-aware Generative ModelCode1
Accelerating Score-based Generative Models with Preconditioned Diffusion SamplingCode1
Direct Ascent Synthesis: Revealing Hidden Generative Capabilities in Discriminative ModelsCode1
Show:102550
← PrevPage 40 of 268Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Improved DDPMFID12.3Unverified
2ADMFID11.84Unverified
3BigGAN-deepFID8.1Unverified
4Polarity-BigGANFID6.82Unverified
5VQGAN+Transformer (k=mixed, p=1.0, a=0.005)FID6.59Unverified
6MaskGITFID6.18Unverified
7VQGAN+Transformer (k=600, p=1.0, a=0.05)FID5.2Unverified
8CDMFID4.88Unverified
9ADM-GFID4.59Unverified
10RINFID4.51Unverified
#ModelMetricClaimedVerifiedStatus
1PresGANFID52.2Unverified
2RESFLOWFID48.29Unverified
3Residual FlowFID46.37Unverified
4GLF+perceptual loss (ours)FID44.6Unverified
5ProdPoly no activation functionsFID40.45Unverified
6ProdPoly no activation functionsFID36.77Unverified
7ACGANFID35.47Unverified
8DenseFlow-74-10FID34.9Unverified
9NVAE w/ flowFID32.53Unverified
10QSNGANFID31.97Unverified
#ModelMetricClaimedVerifiedStatus
1GLIDE + CLSFID30.87Unverified
2GLIDE + CLIPFID30.46Unverified
3GLIDE + CLS-FREEFID29.22Unverified
4GLIDE + CLIP + CLS + CLS-FREEFID29.18Unverified
5PGMGANFID21.73Unverified
6CLR-GANFID20.27Unverified
7FMFID14.45Unverified
8CT (Direct Generation, NFE=1)FID13Unverified
9CT (Direct Generation, NFE=2)FID11.1Unverified
10GLIDE +CLSKID7.95Unverified