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DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image. (arXiv:2204.03688v1 [cs.CV])
April 11, 2022, 1:10 a.m. | Tetiana Martyniuk, Orest Kupyn, Yana Kurlyak, Igor Krashenyi, Jiři, Viktoriia Sharmanska
cs.CV updates on arXiv.org arxiv.org
We present DAD-3DHeads, a dense and diverse large-scale dataset, and a robust
model for 3D Dense Head Alignment in the wild. It contains annotations of over
3.5K landmarks that accurately represent 3D head shape compared to the
ground-truth scans. The data-driven model, DAD-3DNet, trained on our dataset,
learns shape, expression, and pose parameters, and performs 3D reconstruction
of a FLAME mesh. The model also incorporates a landmark prediction branch to
take advantage of rich supervision and co-training of multiple related …
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