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 3751–3800 of 6689 papers

TitleStatusHype
Hand1000: Generating Realistic Hands from Text with Only 1,000 Images—0
HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances—0
Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging—0
Hand-Object Interaction Image Generation—0
HanDrawer: Leveraging Spatial Information to Render Realistic Hands Using a Conditional Diffusion Model in Single Stage—0
Happy People -- Image Synthesis as Black-Box Optimization Problem in the Discrete Latent Space of Deep Generative Models—0
Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation—0
Harnessing Caption Detailness for Data-Efficient Text-to-Image Generation—0
The Infinite Index: Information Retrieval on Generative Text-To-Image Models—0
Harnessing Global-Local Collaborative Adversarial Perturbation for Anti-Customization—0
Creating Image Datasets in Agricultural Environments using DALL.E: Generative AI-Powered Large Language Model—0
Voice command generation using Progressive Wavegans—0
AutoLoss: Learning Discrete Schedule for Alternate Optimization—0
Harvesting Visual Objects from Internet Images via Deep Learning Based Objectness Assessment—0
Have we unified image generation and understanding yet? An empirical study of GPT-4o's image generation ability—0
Head and Neck Tumor Segmentation from [18F]F-FDG PET/CT Images Based on 3D Diffusion Model—0
HeadRouter: A Training-free Image Editing Framework for MM-DiTs by Adaptively Routing Attention Heads—0
Voltage-Controlled Magnetoelectric Devices for Neuromorphic Diffusion Process—0
Heat Death of Generative Models in Closed-Loop Learning—0
HepatoGEN: Generating Hepatobiliary Phase MRI with Perceptual and Adversarial Models—0
Heredity-aware Child Face Image Generation with Latent Space Disentanglement—0
HessianFR: An Efficient Hessian-based Follow-the-Ridge Algorithm for Minimax Optimization—0
Heuristics for Image Generation from Scene Graphs—0
Autoencoding Video Latents for Adversarial Video Generation—0
Hide and Seek: How Does Watermarking Impact Face Recognition?—0
HiDiffusion: Unlocking Higher-Resolution Creativity and Efficiency in Pretrained Diffusion Models—0
Autoencoding Labeled Interpolator, Inferring Parameters From Image, And Image From Parameters—0
The Male CEO and the Female Assistant: Evaluation and Mitigation of Gender Biases in Text-To-Image Generation of Dual Subjects—0
The Myth of Culturally Agnostic AI Models—0
Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation—0
The Neural Painter: Multi-Turn Image Generation—0
Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models—0
Hierarchical Modes Exploring in Generative Adversarial Networks—0
Theoretical Insights into the Use of Structural Similarity Index In Generative Models and Inferential Autoencoders—0
Hierarchical Vision-Language Alignment for Text-to-Image Generation via Diffusion Models—0
HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models—0
High-Fidelity Diffusion-based Image Editing—0
High-fidelity Endoscopic Image Synthesis by Utilizing Depth-guided Neural Surfaces—0
High-Fidelity Guided Image Synthesis with Latent Diffusion Models—0
High-Fidelity Image Compression with Score-based Generative Models—0
High-Fidelity Image Generation With Fewer Labels—0
High-Fidelity Image Synthesis from Pulmonary Nodule Lesion Maps using Semantic Diffusion Model—0
The Poisson Midpoint Method for Langevin Dynamics: Provably Efficient Discretization for Diffusion Models—0
The power of pictures: using ML assisted image generation to engage the crowd in complex socioscientific problems—0
TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts—0
Highly accelerated MR parametric mapping by undersampling the k-space and reducing the contrast number simultaneously with deep learning—0
AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows—0
Highly Personalized Text Embedding for Image Manipulation by Stable Diffusion—0
High Noise Scheduling is a Must—0
High Precision Score-based Diffusion Models—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