  We build a heatmap-based landmark detection model to locate important
landmarks on 2D RGB garment images. The main goal is to detect edges, corners
and suitable interior region of the garments. This let us re-create 3D garments
in modern 3D editing software by incorporate landmark detection model and
texture unwrapping. We use a U-net architecture with ResNet backbone to build
the model. With an appropriate loss function, we are able to train a moderately
robust model.
