7 citations · 13 across the 4 of their papers we have counts for
4 papers · 1 filter
Multi-AD: Cross-Domain Unsupervised Anomaly Detection for Medical and Industrial Applications
Wahyu Rahmaniar, Kenji Suzuki
Traditional deep learning models often lack annotated data, especially in cross-domain applications such as anomaly detection, which is critical for early disease diagnosis in medi…
FaceCrafter: Identity-Conditional Diffusion with Disentangled Control over Facial Pose, Expression, and Emotion
Kazuaki Mishima, Antoni Bigata Casademunt, Stavros Petridis +2
Human facial images encode a rich spectrum of information, encompassing both stable identity-related traits and mutable attributes such as pose, expression, and emotion. While rece…
VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition
Michael Yeung, Toya Teramoto, Songtao Wu +3
The use of large-scale, web-scraped datasets to train face recognition models has raised significant privacy and bias concerns. Synthetic methods mitigate these concerns and provid…
Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion Models
Naoki Matsunaga, Masato Ishii, Akio Hayakawa +2
Our goal is to develop fine-grained real-image editing methods suitable for real-world applications. In this paper, we first summarize four requirements for these methods and propo…