What Decreases Editing Capability? Domain-Specific Hybrid Refinement for Improved GAN Inversion

P Cao, L Yang, D Liu, X Yang… - Proceedings of the …, 2024 - openaccess.thecvf.com
Recently, inversion methods have been exploring the incorporation of additional high-rate
information from pretrained generators (such as weights or intermediate features) to improve …

Lsap: Rethinking inversion fidelity, perception and editability in gan latent space

P Cao, L Yang, D Liu, Z Liu, S Li, Q Song - arXiv preprint arXiv:2209.12746, 2022 - arxiv.org
As the methods evolve, inversion is mainly divided into two steps. The first step is Image
Embedding, in which an encoder or optimization process embeds images to get the …

A Novel Method for Imputing Missing Values in Ship Static Data Based on Generative Adversarial Networks

J Gao, Z Cai, W Sun, Y Jiao - Journal of Marine Science and Engineering, 2023 - mdpi.com
Ship data obtained through the maritime sector will inevitably have missing values and
outliers, which will adversely affect the subsequent study. Many existing methods for missing …

MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive Learning

J Sun, Z Chen, TK Kim - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
Abstract 3D pose transfer is a challenging generation task that aims to transfer the pose of a
source geometry onto a target geometry with the target identity preserved. Many prior …

Large mask image completion with conditional GAN

C Shao, X Li, F Li, Y Zhou - Symmetry, 2022 - mdpi.com
Recently, learning-based image completion methods have made encouraging progress on
square or irregular masks. The generative adversarial networks (GANs) have been able to …

Interactive Generative Adversarial Networks with High-Frequency Compensation for Facial Attribute Editing

W Huang, W Luo, X Cao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Recently, facial attribute editing has drawn increasing attention and has achieved significant
progress due to Generative Adversarial Network (GAN). Since paired images before and …