Implementation of Machine Learning Algorithms
FFHQ-UV-Intrinstics: A Dataset Containing Intrinsic Face Decomposition
Face Editing Using Part-Based Optimization of the Latent Space
FER - Facial Expression Recognition
The project reconstructs the face and skull from the DICOM images with the help of Marching Cubes
Reconstructed images using PCA, thereby reducing dimensionality and size as compared to the original image.
Reconstructing occluded facial images of celebrities using conditional generative adversarial network
Interactive 3D forensic face approximation from skull measurements, using real tissue depth data and RBF interpolation. Built with Python, SciPy, and Plotly Dash.
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