Style-based global appearance flow for virtual try-on

S He, YZ Song, T Xiang - … of the IEEE/CVF Conference on …, 2022 - openaccess.thecvf.com
Image-based virtual try-on aims to fit an in-shop garment into a clothed person image. To
achieve this, a key step is garment warping which spatially aligns the target garment with the …

Pluralistic aging diffusion autoencoder

P Li, R Wang, H Huang, R He… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Face aging is an ill-posed problem because multiple plausible aging patterns may
correspond to a given input. Most existing methods often produce one deterministic …

Face age synthesis: A review on datasets, methods, and open research areas

A Kale, O Altun - Pattern Recognition, 2023 - Elsevier
Face age synthesis is the determination of how a person looks in the future or the past by
reconstructing their facial image. Determining the change in the human face over the years …

Production-ready face re-aging for visual effects

G Zoss, P Chandran, E Sifakis, M Gross… - ACM Transactions on …, 2022 - dl.acm.org
Photorealistic digital re-aging of faces in video is becoming increasingly common in
entertainment and advertising. But the predominant 2D painting workflow often requires …

Fighting malicious media data: A survey on tampering detection and deepfake detection

J Wang, Z Li, C Zhang, J Chen, Z Wu, LS Davis… - arXiv preprint arXiv …, 2022 - arxiv.org
Online media data, in the forms of images and videos, are becoming mainstream
communication channels. However, recent advances in deep learning, particularly deep …

Face aging via diffusion-based editing

X Chen, S Lathuilière - arXiv preprint arXiv:2309.11321, 2023 - arxiv.org
In this paper, we address the problem of face aging: generating past or future facial images
by incorporating age-related changes to the given face. Previous aging methods rely solely …

Agetransgan for facial age transformation with rectified performance metrics

GS Hsu, RC Xie, ZT Chen, YH Lin - European Conference on Computer …, 2022 - Springer
We propose the AgeTransGAN for facial age transformation and the improvements to the
metrics for performance evaluation. The AgeTransGAN is composed of an encoder-decoder …

Toward quantifiable face age transformation under attribute unbias

L Lin, T Wang, H Liu, C Zhu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Previous works condition aging patterns utilizing one-hot or artificial predefined distributions.
Nevertheless, different age groups show different intraclass variations. This property made it …

Meshwgan: Mesh-to-mesh wasserstein gan with multi-task gradient penalty for 3d facial geometric age transformation

J Zhang, K Zhou, Y Luximon, TY Lee… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
As the metaverse develops rapidly, 3D facial age transformation is attracting increasing
attention, which may bring many potential benefits to a wide variety of users, eg, 3D aging …

Child face recognition at scale: Synthetic data generation and performance benchmark

M Falkenberg, A Bensen Ottsen, M Ibsen… - Frontiers in Signal …, 2024 - frontiersin.org
We address the need for a large-scale database of children's faces by using generative
adversarial networks (GANs) and face-age progression (FAP) models to synthesize a …