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 12511275 of 6689 papers

TitleStatusHype
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation0
FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution0
Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds0
Diffusion Autoencoders for Few-shot Image Generation in Hyperbolic Space0
OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text GenerationCode1
Type-R: Automatically Retouching Typos for Text-to-Image Generation0
Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models0
FAM Diffusion: Frequency and Attention Modulation for High-Resolution Image Generation with Stable Diffusion0
TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion ModelsCode2
Prediction with Action: Visual Policy Learning via Joint Denoising Process0
PersonaCraft: Personalized Full-Body Image Synthesis for Multiple Identities from Single References Using 3D-Model-Conditioned Diffusion0
Diffusion Self-Distillation for Zero-Shot Customized Image Generation0
Collaborative Decoding Makes Visual Auto-Regressive Modeling EfficientCode2
Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications0
Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral ConstraintsCode2
ChatGen: Automatic Text-to-Image Generation From FreeStyle Chatting0
DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching0
Reward Incremental Learning in Text-to-Image Generation0
An Ensemble Approach for Brain Tumor Segmentation and Synthesis0
IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework0
LiteVAR: Compressing Visual Autoregressive Modelling with Efficient Attention and QuantizationCode0
cWDM: Conditional Wavelet Diffusion Models for Cross-Modality 3D Medical Image SynthesisCode1
From Graph Diffusion to Graph Classification0
Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment0
semantic image synthesis of anime characters based on conditional generative adversarial networksCode0
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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