DP-DeGauss uses probabilistic Gaussian decomposition with dynamic routing and category masks to achieve the first explicit disentanglement of background, hand, and object components in egocentric 4D scene reconstruction, with +1.70 dB average PSNR gains.
Novel-view synthesis and pose estimation for hand-object interaction from sparse views,
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DP-DeGauss: Dynamic Probabilistic Gaussian Decomposition for Egocentric 4D Scene Reconstruction
DP-DeGauss uses probabilistic Gaussian decomposition with dynamic routing and category masks to achieve the first explicit disentanglement of background, hand, and object components in egocentric 4D scene reconstruction, with +1.70 dB average PSNR gains.