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CoGS: Controllable Gaussian Splatting CoGS : Controllable Gaussian Splatting Heng Yu 1 , Joel Julin 1 , Zoltan Á Milacski 1 , Koichiro Niinuma 2 , László A. Jeni 1 1 Carnegie Mellon University, 2 Fujitsu Research of America CVPR, 2024 arXiv Paper Code Your browser does not support the video tag. CoGS can control the doors, hood, and trunk of the Tesla to make it dance to music! unmute 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 reason...
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