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 5201–5250 of 6689 papers

TitleStatusHype
LogicRank: Logic Induced Reranking for Generative Text-to-Image Systems—0
Deformation equivariant cross-modality image synthesis with paired non-aligned training dataCode0
Adaptively-Realistic Image Generation from Stroke and Sketch with Diffusion Model—0
Understanding Diffusion Models: A Unified Perspective—0
Unsupervised Structure-Consistent Image-to-Image Translation—0
DepthFake: a depth-based strategy for detecting Deepfake videos—0
The Value of AI Guidance in Human Examination of Synthetically-Generated Faces—0
FurryGAN: High Quality Foreground-aware Image Synthesis—0
Vision-Language Matching for Text-to-Image Synthesis via Generative Adversarial Networks—0
Text to Image Generation: Leaving no Language Behind—0
Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning—0
T-Person-GAN: Text-to-Person Image Generation with Identity-Consistency and Manifold Mix-UpCode0
Enhancing Diffusion-Based Image Synthesis with Robust Classifier GuidanceCode0
Time flies by: Analyzing the Impact of Face Ageing on the Recognition Performance with Synthetic Data—0
Understanding Attention for Vision-and-Language TasksCode0
Text-to-Image Generation via Implicit Visual Guidance and Hypernetwork—0
Novel Deep Learning Approach to Derive Cytokeratin Expression and Epithelium Segmentation from DAPI—0
Riemannian Diffusion Models—0
SGM-Net: Semantic Guided Matting Net—0
Memory-Driven Text-to-Image Generation—0
Layout-Bridging Text-to-Image Synthesis—0
ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion DesignCode0
Attribute Controllable Beautiful Caucasian Face Generation by Aesthetics Driven Reinforcement Learning—0
Hierarchical Residual Learning Based Vector Quantized Variational Autoencoder for Image Reconstruction and GenerationCode0
Inflating 2D Convolution Weights for Efficient Generation of 3D Medical Images—0
Seamless Iterative Semi-Supervised Correction of Imperfect Labels in Microscopy ImagesCode0
Artificial Image Tampering Distorts Spatial Distribution of Texture Landmarks and Quality Characteristics—0
Adversarial Attacks on Image Generation With Made-Up Words—0
Pyramidal Denoising Diffusion Probabilistic Models—0
Character Generation through Self-Supervised Vectorization—0
Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers—0
AdaWCT: Adaptive Whitening and Coloring Style Injection—0
Momentum Transformer: Closing the Performance Gap Between Self-attention and Its Linearization—0
Testing Relational Understanding in Text-Guided Image Generation—0
Conservative Generator, Progressive Discriminator: Coordination of Adversaries in Few-shot Incremental Image Synthesis—0
Generative Steganography Network—0
Automated Classification of Nanoparticles with Various Ultrastructures and Sizes—0
Leveraging GAN Priors for Few-Shot Part SegmentationCode0
PASTA-GAN++: A Versatile Framework for High-Resolution Unpaired Virtual Try-on—0
Vector Quantized Image-to-Image Translation—0
Contrastive Image Synthesis and Self-supervised Feature Adaptation for Cross-Modality Biomedical Image SegmentationCode0
Multi-Forgery Detection Challenge 2022: Push the Frontier of Unconstrained and Diverse Forgery Detection—0
Few-shot Image Generation Using Discrete Content Representation—0
Auto-regressive Image Synthesis with Integrated Quantization—0
Image Generation Network for Covert Transmission in Online Social Network—0
Everything is There in Latent Space: Attribute Editing and Attribute Style Manipulation by StyleGAN Latent Space Exploration—0
Cross-Modal Contrastive Representation Learning for Audio-to-Image Generation—0
2D GANs Meet Unsupervised Single-view 3D Reconstruction—0
Image Synthesis with Disentangled Attributes for Chest X-Ray Nodule Augmentation and Detection—0
On the Study of Sample Complexity for Polynomial Neural Networks—0
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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