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CoGS: Controllable Gaussian Splatting
April 23, 2024, 4:48 a.m. | Heng Yu, Joel Julin, Zolt\'an \'A. Milacski, Koichiro Niinuma, L\'aszl\'o A. Jeni
cs.CV updates on arXiv.org arxiv.org
Abstract: Capturing and re-animating the 3D structure of articulated objects present significant barriers. On one hand, methods requiring extensively calibrated multi-view setups are prohibitively complex and resource-intensive, limiting their practical applicability. On the other hand, while single-camera Neural Radiance Fields (NeRFs) offer a more streamlined approach, they have excessive training and rendering costs. 3D Gaussian Splatting would be a suitable alternative but for two reasons. Firstly, existing methods for 3D dynamic Gaussians require synchronized multi-view cameras, …
abstract arxiv cs.cv fields neural radiance fields objects practical rendering training type view
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