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Free keywords:
Computer Science, Computer Vision and Pattern Recognition, cs.CV
Abstract:
We present a novel method for high detail-preserving human avatar creation
from monocular video. A parameterized body model is refined and optimized to
maximally resemble subjects from a video showing them from all sides. Our
avatars feature a natural face, hairstyle, clothes with garment wrinkles, and
high-resolution texture. Our paper contributes facial landmark and
shading-based human body shape refinement, a semantic texture prior, and a
novel texture stitching strategy, resulting in the most sophisticated-looking
human avatars obtained from a single video to date. Numerous results show the
robustness and versatility of our method. A user study illustrates its
superiority over the state-of-the-art in terms of identity preservation, level
of detail, realism, and overall user preference.
