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 3551–3600 of 6689 papers

TitleStatusHype
TEDi: Temporally-Entangled Diffusion for Long-Term Motion Synthesis—0
LLDiffusion: Learning Degradation Representations in Diffusion Models for Low-Light Image EnhancementCode1
VideoControlNet: A Motion-Guided Video-to-Video Translation Framework by Using Diffusion Model with ControlNet—0
Deepfake Image Generation for Improved Brain Tumor Segmentation—0
Learning Disentangled Discrete RepresentationsCode0
XDLM: Cross-lingual Diffusion Language Model for Machine Translation—0
Composite Diffusion | whole >= Σparts—0
Fake It Without Making It: Conditioned Face Generation for Accurate 3D Face Reconstruction—0
Interpolating between Images with Diffusion ModelsCode1
A Systematic Survey of Prompt Engineering on Vision-Language Foundation ModelsCode2
Attribute Regularized Soft Introspective VAE: Towards Cardiac Attribute Regularization Through MRI Domains—0
Edge Guided GANs with Multi-Scale Contrastive Learning for Semantic Image SynthesisCode1
PartDiff: Image Super-resolution with Partial Diffusion Models—0
UWAT-GAN: Fundus Fluorescein Angiography Synthesis via Ultra-wide-angle Transformation Multi-scale GANCode1
Attention Consistency Refined Masked Frequency Forgery Representation for Generalizing Face Forgery DetectionCode0
Subject-Diffusion:Open Domain Personalized Text-to-Image Generation without Test-time Fine-tuningCode2
General Image-to-Image Translation with One-Shot Image GuidanceCode1
Progressive distillation diffusion for raw music generation—0
Diffusion Sampling with Momentum for Mitigating Divergence ArtifactsCode0
Urban Radiance Field Representation with Deformable Neural Mesh PrimitivesCode1
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained DiffusionCode2
A Siamese-based Verification System for Open-set Architecture Attribution of Synthetic ImagesCode0
Text2Layer: Layered Image Generation using Latent Diffusion Model—0
Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis—0
Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis—0
Survey on Controlable Image Synthesis with Deep Learning—0
Conditional 360-degree Image Synthesis for Immersive Indoor Scene Decoration—0
Jean-Luc Picard at Touché 2023: Comparing Image Generation, Stance Detection and Feature Matching for Image Retrieval for Arguments—0
Let's ViCE! Mimicking Human Cognitive Behavior in Image Generation Evaluation—0
PromptCrafter: Crafting Text-to-Image Prompt through Mixed-Initiative Dialogue with LLM—0
Towards Authentic Face Restoration with Iterative Diffusion Models and Beyond—0
Creating Image Datasets in Agricultural Environments using DALL.E: Generative AI-Powered Large Language Model—0
Unbiased Image Synthesis via Manifold Guidance in Diffusion Models—0
Soft Curriculum for Learning Conditional GANs with Noisy-Labeled and Uncurated Unlabeled Data—0
Image Captions are Natural Prompts for Text-to-Image ModelsCode1
Flow Matching in Latent SpaceCode2
Diffusion Models Beat GANs on Image ClassificationCode1
Polarization Multi-Image Synthesis with Birefringent MetasurfacesCode1
Planting a SEED of Vision in Large Language ModelCode2
Generative adversarial networks for data-scarce spectral applications—0
Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models—0
T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image GenerationCode2
CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image ClassificationCode1
DiffuseGAE: Controllable and High-fidelity Image Manipulation from Disentangled Representation—0
Exposing the Fake: Effective Diffusion-Generated Images Detection—0
Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion ModelsCode1
Emu: Generative Pretraining in MultimodalityCode3
SAR-NeRF: Neural Radiance Fields for Synthetic Aperture Radar Multi-View Representation—0
DRMC: A Generalist Model with Dynamic Routing for Multi-Center PET Image SynthesisCode0
TIAM -- A Metric for Evaluating Alignment in Text-to-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