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Explore the latest techniques in 3D face modeling from single RGB images in this comprehensive seminar. Delve into the two-decade history of estimating 3D face shapes from single images, examining the limitations of classical methods and the challenges posed by in-the-wild conditions. Learn about the rapid advancements in this field driven by deep learning, covering approaches from coarse to fine-grain reconstruction. Gain insights from speaker Anh Tran, a Research Scientist at VinAI with extensive experience in facial image processing and analysis. Discover how modern techniques address challenges such as varying head orientations, facial expressions, lighting conditions, and occlusions to achieve accurate 3D face reconstruction.
Syllabus
Seminar Series: 3D face modeling from a single RGB image
Taught by
VinAI