Face age synthesis: A review on datasets, methods, and open research areas
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 …
reconstructing their facial image. Determining the change in the human face over the years …
Deep face age progression: A survey
Face Age Progression (FAP) refers to synthesizing face images while simulating ageing
effects, thus enabling predicting the future appearance of an individual. The generation of …
effects, thus enabling predicting the future appearance of an individual. The generation of …
AgeFlow: Conditional age progression and regression with normalizing flows
Age progression and regression aim to synthesize photorealistic appearance of a given face
image with aging and rejuvenation effects, respectively. Existing generative adversarial …
image with aging and rejuvenation effects, respectively. Existing generative adversarial …
Human Face Recognition and Facial Attribute Analysis Using Data Analytics Techniques in Smart Grid Using Image Processing
HK Alrammahi, AJ Obaid - Data Analytics for Smart Grids Applications—A …, 2023 - Springer
Multimedia face images appear in social networks, digital entertainment, and other
applications, exhibiting dramatic pose, illumination, and expression variations, resulting in …
applications, exhibiting dramatic pose, illumination, and expression variations, resulting in …