4 citations · 7 across the 9 of their papers we have counts for
8 papers · 1 filter
Accelerating Transformer-Based Monocular SLAM via Geometric Utility Scoring
Xinmiao Xiong, Bangya Liu, Hao Wang +7
Geometric Foundation Models (GFMs) have recently advanced monocular SLAM by providing robust, calibration-free 3D priors. However, deploying these models on dense video streams int…
NeVStereo: A NeRF-Driven NVS-Stereo Architecture for High-Fidelity 3D Tasks
Pengcheng Chen, Yue Hu, Wenhao Li +5
In modern dense 3D reconstruction, feed-forward systems (e.g., VGGT, pi3) focus on end-to-end matching and geometry prediction but do not explicitly output the novel view synthesis…
IDU: Incremental Dynamic Update of Existing 3D Virtual Environments with New Imagery Data
Meida Chen, Luis Leal, Yue Hu +5
For simulation and training purposes, military organizations have made substantial investments in developing high-resolution 3D virtual environments through extensive imaging and 3…
Splat Feature Solver
Butian Xiong, Rong Liu, Kenneth Xu +2
Feature lifting has emerged as a crucial component in 3D scene understanding, enabling the attachment of rich image feature descriptors (e.g., DINO, CLIP) onto splat-based 3D repre…
Deformable Beta Splatting
Rong Liu, Dylan Sun, Meida Chen +2
3D Gaussian Splatting (3DGS) has advanced radiance field reconstruction by enabling real-time rendering. However, its reliance on Gaussian kernels for geometry and low-order Spheri…
SplatMAP: Online Dense Monocular SLAM with 3D Gaussian Splatting
Yue Hu, Rong Liu, Meida Chen +2
Achieving high-fidelity 3D reconstruction from monocular video remains challenging due to the inherent limitations of traditional methods like Structure-from-Motion (SfM) and monoc…
AtomGS: Atomizing Gaussian Splatting for High-Fidelity Radiance Field
Rong Liu, Rui Xu, Yue Hu +2
3D Gaussian Splatting (3DGS) has recently advanced radiance field reconstruction by offering superior capabilities for novel view synthesis and real-time rendering speed. However,…
Universal Photorealistic Style Transfer: A Lightweight and Adaptive Approach
Rong Liu, Enyu Zhao, Zhiyuan Liu +2
Photorealistic style transfer aims to apply stylization while preserving the realism and structure of input content. However, existing methods often encounter challenges such as co…