2026
Densemarks: Learning Canonical Embeddings for Human Heads Images via Point Tracks
ICLR 2026poster
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.…