AI RESEARCH
Densemarks: Learning Canonical Embeddings for Human Heads Images via Point Tracks
arXiv CS.CV
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ArXi:2511.02830v2 Announce Type: replace We propose DenseMarks - a new learned representation for human heads, enabling high-quality dense correspondences of human head images. For a 2D image of a human head, a Vision Transformer network predicts a 3D embedding for each pixel, which corresponds to a location in a 3D canonical unit cube.