Author name: Hantang Li, Qiang Zhu, Xiandong Meng, Xingtao Wang, Debin Zhao, Xiaopeng Fan

arXiv:2605.12072v2 Announce Type: replace
Abstract: Dropout-based sparse-view 3D Gaussian Splatting (3DGS) methods alleviate overfitting by randomly suppressing Gaussian primitives during training. Existing methods mainly focus on designing increasing…

arXiv:2605.12072v1 Announce Type: new
Abstract: Dropout-based sparse-view 3D Gaussian Splatting (3DGS) methods alleviate overfitting by randomly suppressing Gaussian primitives during training. Existing methods mainly focus on designing increasingly s…