March 27, 2024, 4:45 a.m. | Remy Sabathier, Niloy J. Mitra, David Novotny

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.17103v1 Announce Type: new
Abstract: We present a method to build animatable dog avatars from monocular videos. This is challenging as animals display a range of (unpredictable) non-rigid movements and have a variety of appearance details (e.g., fur, spots, tails). We develop an approach that links the video frames via a 4D solution that jointly solves for animal's pose variation, and its appearance (in a canonical pose). To this end, we significantly improve the quality of template-based shape fitting by …

abstract animals arxiv avatars build cs.cv dog movements type via video videos

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