1 citations · 1 across the 8 of their papers we have counts for
10 papers
StereoGaussians: Feed-Forward 3D Gaussian Splatting from Stereo Images
Boyuan Tian, Huangying Zhan, Zhan Li +4
Feed-forward 3D Gaussian Splatting (3DGS) enables reconstruction without per- scene optimisation, but practical stereo-camera applications require nearby-view extrapolation beyond…
4DGS-Fixer: Generative Sparse-View 4D Gaussian Splatting with Iterative Refinement Guided by Video Diffusion Priors
Haitao Huang, Shenghao Zhao, Boyuan Tian +7
This paper addresses the challenges of dynamic scene synthesis from sparse-view videos. Existing methods employ geometric priors, adaptive optimization, or density-control strategi…
FluSplat: Sparse-View 3D Editing without Test-Time Optimization
Haitao Huang, Shin-Fang Chng, Huangying Zhan +2
Recent advances in text-guided image editing and 3D Gaussian Splatting (3DGS) have enabled high-quality 3D scene manipulation. However, existing pipelines rely on iterative edit-an…
FAST3DIS: Feed-forward Anchored Scene Transformer for 3D Instance Segmentation
Changyang Li, Xueqing Huang, Shin-Fang Chng +3
While recent feed-forward 3D reconstruction models provide a strong geometric foundation for scene understanding, extending them to 3D instance segmentation typically relies on a d…
GRLoc: Geometric Representation Regression for Visual Localization
Changyang Li, Xuejian Ma, Lixiang Liu +3
Absolute Pose Regression (APR) has emerged as a compelling paradigm for visual localization. However, APR models typically operate as black boxes, directly regressing a 6-DoF pose…
RLGS: Reinforcement Learning-Based Adaptive Hyperparameter Tuning for Gaussian Splatting
Zhan Li, Huangying Zhan, Changyang Li +2
Hyperparameter tuning in 3D Gaussian Splatting (3DGS) is a labor-intensive and expert-driven process, often resulting in inconsistent reconstructions and suboptimal results. We pro…
Understanding while Exploring: Semantics-driven Active Mapping
Liyan Chen, Huangying Zhan, Hairong Yin +2
Effective robotic autonomy in unknown environments demands proactive exploration and precise understanding of both geometry and semantics. In this paper, we propose ActiveSGM, an a…
Semantic Consistent Language Gaussian Splatting for Point-Level Open-vocabulary Querying
Hairong Yin, Huangying Zhan, Yi Xu +1
Open-vocabulary 3D scene understanding is crucial for robotics applications, such as natural language-driven manipulation, human-robot interaction, and autonomous navigation. Exist…
Crafting Dynamic Virtual Activities with Advanced Multimodal Models
Changyang Li, Qingan Yan, Minyoung Kim +3
In this paper, we investigate the use of multimodal large language models (MLLMs) for generating virtual activities, leveraging the integration of vision-language modalities to ena…
Machine Unlearning for Traditional Models and Large Language Models: A Short Survey
Yi Xu
With the implementation of personal data privacy regulations, the field of machine learning (ML) faces the challenge of the "right to be forgotten". Machine unlearning has emerged…