2 citations · 3 across the 6 of their papers we have counts for
9 papers
Quantitative thermoviscous Darcy limits in periodic and bounded domains
Jiaojiao Pan, Luqi Wang
In this paper, we establish quantitative Darcy limits for a three-dimensional inhomogeneous incompressible fluid with temperature-dependent viscosity and quasi-static thermal feedb…
AdpSplit: Error-Driven Adaptive Splitting for Faster Geometry Discovery in 3D Gaussian Splatting
Yongjae Lee, Jingxing Li, Abhay Kumar Yadav +2
Adaptive density control in 3D Gaussian Splatting (3DGS) repeatedly grows the Gaussian population through fixed-cardinality random splitting to discover useful scene structure. How…
SkipGS: Post-Densification Backward Skipping for Efficient 3DGS Training
Jingxing Li, Yongjae Lee, Deliang Fan
3D Gaussian Splatting (3DGS) achieves real-time novel-view synthesis by optimizing millions of anisotropic Gaussians, yet its training remains expensive, with the backward pass dom…
GeLoc3r: Enhancing Relative Camera Pose Regression with Geometric Consistency Regularization
Jingxing Li, Yongjae Lee, Deliang Fan
Prior ReLoc3R achieves breakthrough performance with fast 25ms inference and state-of-the-art regression accuracy, yet our analysis reveals subtle geometric inconsistencies in its…
Speedy MASt3R
Jingxing Li, Yongjae Lee, Abhay Kumar Yadav +3
Image matching is a key component of modern 3D vision algorithms, essential for accurate scene reconstruction and localization. MASt3R redefines image matching as a 3D task by leve…
LP-3DGS: Learning to Prune 3D Gaussian Splatting
Zhaoliang Zhang, Tianchen Song, Yongjae Lee +4
Recently, 3D Gaussian Splatting (3DGS) has become one of the mainstream methodologies for novel view synthesis (NVS) due to its high quality and fast rendering speed. However, as a…
SafeguardGS: 3D Gaussian Primitive Pruning While Avoiding Catastrophic Scene Destruction
Yongjae Lee, Zhaoliang Zhang, Deliang Fan
3D Gaussian Splatting (3DGS) has made significant strides in novel view synthesis. However, its suboptimal densification process results in the excessively large number of Gaussian…
NFTs to MARS: Multi-Attention Recommender System for NFTs
Seonmi Kim, Youngbin Lee, Yejin Kim +2
Recommender systems have become essential tools for enhancing user experiences across various domains. While extensive research has been conducted on recommender systems for movies…
MF-NeRF: Memory Efficient NeRF with Mixed-Feature Hash Table
Yongjae Lee, Li Yang, Deliang Fan
Neural radiance field (NeRF) has shown remarkable performance in generating photo-realistic novel views. Among recent NeRF related research, the approaches that involve the utiliza…