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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1551–1600 of 6689 papers

TitleStatusHype
Efficient Scale-Invariant Generator with Column-Row Entangled Pixel SynthesisCode1
Gradient Origin NetworksCode1
Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene GenerationCode1
A Unified Agentic Framework for Evaluating Conditional Image GenerationCode1
GRAF: Generative Radiance Fields for 3D-Aware Image SynthesisCode1
Graph Image Prior for Unsupervised Dynamic Cardiac Cine MRI ReconstructionCode1
Efficient Diffusion Models: A Comprehensive Survey from Principles to PracticesCode1
PanoLlama: Generating Endless and Coherent Panoramas with Next-Token-Prediction LLMsCode1
A U-Net Based Discriminator for Generative Adversarial NetworksCode1
Deterministic Image-to-Image Translation via Denoising Brownian Bridge Models with Dual ApproximatorsCode1
Grid: Omni Visual GenerationCode1
Guided Image Generation with Conditional Invertible Neural NetworksCode1
Controllable Person Image Synthesis with Spatially-Adaptive Warped NormalizationCode1
DreamLCM: Towards High-Quality Text-to-3D Generation via Latent Consistency ModelCode1
Efficient Diffusion Training via Min-SNR Weighting StrategyCode1
Localized Concept Erasure for Text-to-Image Diffusion Models Using Training-Free Gated Low-Rank AdaptationCode1
MADE: Masked Autoencoder for Distribution EstimationCode1
Controllable Person Image Synthesis with Attribute-Decomposed GANCode1
Interactive Character Control with Auto-Regressive Motion Diffusion ModelsCode1
Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and TranslationCode1
Controllable Mind Visual Diffusion ModelCode1
EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like SketchingCode1
Effective and Efficient Masked Image Generation ModelsCode1
GUIGAN: Learning to Generate GUI Designs Using Generative Adversarial NetworksCode1
Edge-preserving noise for diffusion modelsCode1
A Content Transformation Block For Image Style TransferCode1
Edge Guided GANs with Multi-Scale Contrastive Learning for Semantic Image SynthesisCode1
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable ModelsCode1
Edge Guided GANs with Contrastive Learning for Semantic Image SynthesisCode1
Editing in Style: Uncovering the Local Semantics of GANsCode1
DiffBlender: Scalable and Composable Multimodal Text-to-Image Diffusion ModelsCode1
LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis EvaluationCode1
EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANsCode1
Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentationCode1
BrainCLIP: Bridging Brain and Visual-Linguistic Representation Via CLIP for Generic Natural Visual Stimulus DecodingCode1
HieraFashDiff: Hierarchical Fashion Design with Multi-stage Diffusion ModelsCode1
Controllable and Compositional Generation with Latent-Space Energy-Based ModelsCode1
LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed PromptsCode1
High Fidelity Image Synthesis With Deep VAEs In Latent SpaceCode1
High-Resolution Image Editing via Multi-Stage Blended DiffusionCode1
ControlCom: Controllable Image Composition using Diffusion ModelCode1
3D-Aware Video GenerationCode1
Efficient Conditional GAN Transfer with Knowledge Propagation across ClassesCode1
LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and GenerationCode1
LLVIP: A Visible-infrared Paired Dataset for Low-light VisionCode1
Contrastive Learning for Unpaired Image-to-Image TranslationCode1
AudioToken: Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image GenerationCode1
High-Frequency Space Diffusion Models for Accelerated MRICode1
EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANsCode1
E2NeRF: Event Enhanced Neural Radiance Fields from Blurry ImagesCode1
Show:102550
← PrevPage 32 of 134Next →
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