1 citations · 2 across the 6 of their papers we have counts for
4 papers · 2 filters
2DGS-R: Revisiting the Normal Consistency Regularization in 2D Gaussian Splatting
Haofan Ren, Qingsong Yan, Ming Lu +2
Recent advancements in 3D Gaussian Splatting (3DGS) have greatly influenced neural fields, as it enables high-fidelity rendering with impressive visual quality. However, 3DGS has d…
DepthDark: Robust Monocular Depth Estimation for Low-Light Environments
Longjian Zeng, Zunjie Zhu, Rongfeng Lu +4
In recent years, foundation models for monocular depth estimation have received increasing attention. Current methods mainly address typical daylight conditions, but their effectiv…
K-Buffers: A Plug-in Method for Enhancing Neural Fields with Multiple Buffers
Haofan Ren, Zunjie Zhu, Xiang Chen +3
Neural fields are now the central focus of research in 3D vision and computer graphics. Existing methods mainly focus on various scene representations, such as neural points and 3D…
VGNC: Reducing the Overfitting of Sparse-view 3DGS via Validation-guided Gaussian Number Control
Lifeng Lin, Rongfeng Lu, Quan Chen +5
Sparse-view 3D reconstruction is a fundamental yet challenging task in practical 3D reconstruction applications. Recently, many methods based on the 3D Gaussian Splatting (3DGS) fr…