2 papers
cs.CV2024
Toward Tiny and High-quality Facial Makeup with Data Amplify Learning
Qiaoqiao Jin, Xuanhong Chen, Meiguang Jin +5
Contemporary makeup approaches primarily hinge on unpaired learning paradigms, yet they grapple with the challenges of inaccurate supervision (e.g., face misalignment) and sophisti…
cs.CV2024
AU-vMAE: Knowledge-Guide Action Units Detection via Video Masked Autoencoder
Qiaoqiao Jin, Rui Shi, Yishun Dou +1
Current Facial Action Unit (FAU) detection methods generally encounter difficulties due to the scarcity of labeled video training data and the limited number of training face IDs,…