2 papers
stat.AP2025
Covariance Supervised Principal Component Analysis
Theodosios Papazoglou, Guosheng Yin
Principal component analysis (PCA) is a widely used unsupervised dimensionality reduction technique in machine learning, applied across various fields such as bioinformatics, compu…
cs.CV2025
MVPortrait: Text-Guided Motion and Emotion Control for Multi-view Vivid Portrait Animation
Yukang Lin, Hokit Fung, Jianjin Xu +4
Recent portrait animation methods have made significant strides in generating realistic lip synchronization. However, they often lack explicit control over head movements and facia…