A Simple Image Sharpness Evaluation Algorithm

Sharpness Estimation for Document and Scene Images

StyleGAN2 - Official TensorFlow Implementation

This is a pytorch implementation of the paper "On Leveraging Pretrained GANs for Limited-Data Generation".

[NeurIPS'21] Projected GANs Converge Faster

Official implementation of the paper "Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis" in ICLR 2021

Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

[ECCV 2022] Adaptive Feature Interpolation for Low-Shot Image Generation

MagFace: A Universal Representation for Face Recognition and Quality Assessment, CVPR2021, Oral

Human Pose Estimation Related Publication

A implementation of Attribute Group Editing for Reliable Few-shot Image Generation (CVPR 2022)

A curated list of papers, code and resources pertaining to few-shot image generation.

PyTorch differentiable Multi-Scale Structural Similarity (MS-SSIM) loss

[CVPR '21] Official repository for Few-shot Image Generation via Cross-domain Correspondence

CVPR 2022 HFGI: High-Fidelity GAN Inversion for Image Attribute Editing

Official Implementation for "Pivotal Tuning for Latent-based editing of Real Images" (ACM TOG 2022) https://arxiv.org/abs/2106.05744

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

Face Identity Disentanglement via Latent Space Mapping [SIGGRAPH ASIA 2020]

Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch

Few-shot adaptation of GANs.

Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666

[TPAMI 2022] GAN Inversion: A Survey

Image2StyleGAN and Image2StyleGAN++ implementation

Code for our Paper "One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGAN"