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📸 Face Reconstruction using PCA 🎥 Face reconstruction demonstration from the Yale Faces dataset using Principal Component Analysis (PCA) in Python. Involves processing and standardizing image data, performing PCA, and visualizing the reconstruction process through a generated video, showcasing PCA's effectiveness in facial feature reconstruction.
Official repository accompanying a CVPR 2022 paper EMOCA: Emotion Driven Monocular Face Capture And Animation. EMOCA takes a single image of a face as input and produces a 3D reconstruction. EMOCA sets the new standard on reconstructing highly emotional images in-the-wild
Mesh to mesh alignment(mesh to mesh registration) and rendering. Scripts to convert FLAME face model to HACK model(same facial topology as ICT-FaceKit).