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 13761400 of 6689 papers

TitleStatusHype
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement LearningCode1
DCN-T: Dual Context Network with Transformer for Hyperspectral Image ClassificationCode1
Look ATME: The Discriminator Mean Entropy Needs AttentionCode1
UPGPT: Universal Diffusion Model for Person Image Generation, Editing and Pose TransferCode1
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion ModelsCode1
Exploring Incompatible Knowledge Transfer in Few-shot Image GenerationCode1
Magnitude Invariant Parametrizations Improve Hypernetwork LearningCode1
AutoSplice: A Text-prompt Manipulated Image Dataset for Media ForensicsCode1
Diagnostic Benchmark and Iterative Inpainting for Layout-Guided Image GenerationCode1
NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANsCode1
PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face InpaintingCode1
NeAT: Neural Artistic Tracing for Beautiful Style TransferCode1
HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image ModelsCode1
Diffusion Models for Constrained DomainsCode1
Mask-conditioned latent diffusion for generating gastrointestinal polyp imagesCode1
Binary Latent DiffusionCode1
Reflected Diffusion ModelsCode1
A Cheaper and Better Diffusion Language Model with Soft-Masked NoiseCode1
Efficient Multimodal Sampling via Tempered Distribution FlowCode1
Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image SynthesisCode1
Zero-shot Generative Model Adaptation via Image-specific Prompt LearningCode1
Uncurated Image-Text Datasets: Shedding Light on Demographic BiasCode1
Cross-modulated Few-shot Image Generation for Colorectal Tissue ClassificationCode1
EGC: Image Generation and Classification via a Diffusion Energy-Based ModelCode1
Generative Multiplane Neural Radiance for 3D-Aware Image GenerationCode1
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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