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 19511975 of 6689 papers

TitleStatusHype
A Survey on Leveraging Pre-trained Generative Adversarial Networks for Image Editing and RestorationCode1
DyDiT++: Dynamic Diffusion Transformers for Efficient Visual GenerationCode1
Towards Accurate Image Coding: Improved Autoregressive Image Generation with Dynamic Vector QuantizationCode1
ForkGAN: Seeing into the Rainy NightCode1
Towards Fine-grained Image Classification with Generative Adversarial Networks and Facial Landmark DetectionCode1
Frame Interpolation with Consecutive Brownian Bridge DiffusionCode1
Towards High Resolution Video Generation with Progressive Growing of Sliced Wasserstein GANsCode1
Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion ModelsCode1
Artistic Glyph Image Synthesis via One-Stage Few-Shot LearningCode1
Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar ReconstructionCode1
Causal Inference via Style Transfer for Out-of-distribution GeneralisationCode1
Focal Frequency Loss for Image Reconstruction and SynthesisCode1
FooDI-ML: a large multi-language dataset of food, drinks and groceries images and descriptionsCode1
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image GenerationCode1
Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GANCode1
E2NeRF: Event Enhanced Neural Radiance Fields from Blurry ImagesCode1
ArtNeRF: A Stylized Neural Field for 3D-Aware Cartoonized Face SynthesisCode1
EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANsCode1
TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional GenerationCode1
Foreground-Background Separation through Concept Distillation from Generative Image Foundation ModelsCode1
AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion modelsCode1
Training and Tuning Generative Neural Radiance Fields for Attribute-Conditional 3D-Aware Face GenerationCode1
A Survey on Deep Generative 3D-aware Image SynthesisCode1
Conceptrol: Concept Control of Zero-shot Personalized Image GenerationCode1
Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability VolumesCode1
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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