GP-4DGS uses variational Gaussian Processes with spatio-temporal kernels to provide uncertainty-aware reconstruction and prediction in 4D Gaussian Splatting for dynamic scenes.
Barron, Sofien Bouaziz, Dan B Goldman, Steven M
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RiGS decomposes scenes into static, rigid, and transient 4D Gaussians with an object-wise dynamic mask and scene flow guidance to model multi-scale motions and achieve SOTA novel view synthesis.
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GP-4DGS: Probabilistic 4D Gaussian Splatting from Monocular Video via Variational Gaussian Processes
GP-4DGS uses variational Gaussian Processes with spatio-temporal kernels to provide uncertainty-aware reconstruction and prediction in 4D Gaussian Splatting for dynamic scenes.
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RiGS: Rigid-aware 4D Gaussian Splatting from a Single Monocular Video
RiGS decomposes scenes into static, rigid, and transient 4D Gaussians with an object-wise dynamic mask and scene flow guidance to model multi-scale motions and achieve SOTA novel view synthesis.