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

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Showing 1351–1400 of 6689 papers

TitleStatusHype
Blackout Diffusion: Generative Diffusion Models in Discrete-State SpacesCode1
LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis EvaluationCode1
Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language LearnersCode1
X-IQE: eXplainable Image Quality Evaluation for Text-to-Image Generation with Visual Large Language ModelsCode1
PTQD: Accurate Post-Training Quantization for Diffusion ModelsCode1
Pyramid Diffusion Models For Low-light Image EnhancementCode1
What You See is What You Read? Improving Text-Image Alignment EvaluationCode1
Controllable Mind Visual Diffusion ModelCode1
AR-Diffusion: Auto-Regressive Diffusion Model for Text GenerationCode1
SparseGNV: Generating Novel Views of Indoor Scenes with Sparse Input ViewsCode1
Vision-Language Models in Remote Sensing: Current Progress and Future TrendsCode1
Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentationCode1
SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language ModelsCode1
Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data PoisoningCode1
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEsCode1
2D medical image synthesis using transformer-based denoising diffusion probabilistic modelCode1
DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image GenerationCode1
Semantic-aware Generation of Multi-view Portrait DrawingsCode1
Catch Missing Details: Image Reconstruction with Frequency Augmented Variational AutoencoderCode1
Multimodal Procedural Planning via Dual Text-Image PromptingCode1
Self-similarity-based super-resolution of photoacoustic angiography from hand-drawn doodlesCode1
Generating images of rare concepts using pre-trained diffusion modelsCode1
TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional GenerationCode1
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion modelsCode1
Latent diffusion models for generative precipitation nowcasting with accurate uncertainty quantificationCode1
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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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