2 citations · 4 across the 13 of their papers we have counts for
17 papers
ATSplat: Compact Feed-forward 3D Gaussian Splatting with Adaptive Token Expansion
In Cho, Jeonghwan Cho, Mijin Yoo +2
3D Gaussian Splatting (3DGS) achieves high-quality novel-view synthesis by optimizing freely placed primitives in 3D and adaptively densifying them in under-reconstructed regions.…
NoPA: Non-Parametric Online 3D Scene Graph Generation
Qi Xun Yeo, Seungjun Lee, Yan Li +1
Classic 3D scene graph generation approaches fail to work in real-time due to the heavy computational cost of environment mapping and the need to generate intermediate point-cloud…
Revisiting Photometric Ambiguity for Accurate Gaussian-Splatting Surface Reconstruction
Jiahe Li, Jiawei Zhang, Xiao Bai +4
Surface reconstruction with differentiable rendering has achieved impressive performance in recent years, yet the pervasive photometric ambiguities have strictly bottlenecked exist…
DegBins: Degradation-Driven Binning for Depth Super-Resolution
Zhiqiang Yan, Zhengxue Wang, Jian Yang +1
Depth super-resolution (DSR) aims to recover a high-resolution (HR) depth map from its low-resolution (LR) counterpart. With color image guidance, this task is typically formulated…
Flow4DGS-SLAM: Optical Flow-Guided 4D Gaussian Splatting SLAM
Yunsong Wang, Gim Hee Lee
Handling the dynamic environments is a significant research challenge in Visual Simultaneous Localization and Mapping (SLAM). Recent research combines 3D Gaussian Splatting (3DGS)…
MotionScale: Reconstructing Appearance, Geometry, and Motion of Dynamic Scenes with Scalable 4D Gaussian Splatting
Haoran Zhou, Gim Hee Lee
Realistic reconstruction of dynamic 4D scenes from monocular videos is essential for understanding the physical world. Despite recent progress in neural rendering, existing methods…
4D3R: Motion-Aware Neural Reconstruction and Rendering of Dynamic Scenes from Monocular Videos
Mengqi Guo, Bo Xu, Yanyan Li +1
Novel view synthesis from monocular videos of dynamic scenes with unknown camera poses remains a fundamental challenge in computer vision and graphics. While recent advances in 3D…
Statistical Confidence Rescoring for Robust 3D Scene Graph Generation from Multi-View Images
Qi Xun Yeo, Yanyan Li, Gim Hee Lee
Modern 3D semantic scene graph estimation methods utilize ground truth 3D annotations to accurately predict target objects, predicates, and relationships. In the absence of given 3…
RiemanLine: Riemannian Manifold Representation of 3D Lines for Factor Graph Optimization
Yan Li, Ze Yang, Keisuke Tateno +3
Minimal parametrization of 3D lines plays a critical role in camera localization and structural mapping. Existing representations in robotics and computer vision predominantly hand…
MVGSR: Multi-View Consistency Gaussian Splatting for Robust Surface Reconstruction
Chenfeng Hou, Qi Xun Yeo, Mengqi Guo +3
3D Gaussian Splatting (3DGS) has gained significant attention for its high-quality rendering capabilities, ultra-fast training, and inference speeds. However, when we apply 3DGS to…
Street Gaussians without 3D Object Tracker
Ruida Zhang, Chengxi Li, Chenyangguang Zhang +5
Realistic scene reconstruction in driving scenarios poses significant challenges due to fast-moving objects. Most existing methods rely on labor-intensive manual labeling of object…
Learnable Infinite Taylor Gaussian for Dynamic View Rendering
Bingbing Hu, Yanyan Li, Rui Xie +4
Capturing the temporal evolution of Gaussian properties such as position, rotation, and scale is a challenging task due to the vast number of time-varying parameters and the limite…
SmileSplat: Generalizable Gaussian Splats for Unconstrained Sparse Images
Yanyan Li, Yixin Fang, Federico Tombari +1
Sparse Multi-view Images can be Learned to predict explicit radiance fields via Generalizable Gaussian Splatting approaches, which can achieve wider application prospects in real-l…
ZeroGS: Training 3D Gaussian Splatting from Unposed Images
Yu Chen, Rolandos Alexandros Potamias, Evangelos Ververas +3
Neural radiance fields (NeRF) and 3D Gaussian Splatting (3DGS) are popular techniques to reconstruct and render photo-realistic images. However, the pre-requisite of running Struct…
LiLoc: Lifelong Localization using Adaptive Submap Joining and Egocentric Factor Graph
Yixin Fang, Yanyan Li, Kun Qian +3
This paper proposes a versatile graph-based lifelong localization framework, LiLoc, which enhances its timeliness by maintaining a single central session while improves the accurac…
DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus
Yu Chen, Gim Hee Lee
The recent advances in 3D Gaussian Splatting (3DGS) show promising results on the novel view synthesis (NVS) task. With its superior rendering performance and high-fidelity renderi…
GeoGaussian: Geometry-aware Gaussian Splatting for Scene Rendering
Yanyan Li, Chenyu Lyu, Yan Di +3
During the Gaussian Splatting optimization process, the scene's geometry can gradually deteriorate if its structure is not deliberately preserved, especially in non-textured region…