Presentation
DropoutGS: Dropping Out Gaussians for Better Sparse-view Rendering
SessionInvited: Posters
DescriptionIn this paper, we analyze the causes of overfitting in sparse-view 3DGS and introduce Dropout into 3DGS to improve rendering robustness. Additionally, we propose an edge-guided splitting strategy to enhance detail rendering quality. Our DropoutGS outperforms the existing methods and shows state-of-the-art performance on multiple benchmark datasets.
Event Type
Invited Poster
Poster
TimeThursday, 18 December 20259:00am - 6:00pm HKT
LocationChancellor 1+2, Level 4