10 citations · 12 across the 5 of their papers we have counts for
6 papers
PRG-Fusion: Orchestrating Generative Priors with Reconstruction Evidence for Driving View Synthesis
Sipeng He, Jialei Chen, Zhen Fang +2
Synthesizing photorealistic driving videos along specified trajectories is essential for scalable closed-loop simulation. Reconstruction-based methods leverage neural rendering to…
TopoGS: Planar Reconstruction via Topology-aware 3D Gaussian Splatting
Shanshan Pan, Jiale Chen, Yilin Liu +1
Extracting structured, parametric 3D representations from raw images remains a fundamental challenge in computer vision and graphics. While recent advancements in the 3D Gaussian S…
I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation
Jialei Chen, Wuhao Xu, Sipeng He +2
Vast and high-quality data are essential for end-to-end autonomous driving systems. However, current driving data is mainly collected by vehicles, which is expensive and inefficien…
Unlocking the Power of Diffusion Models in Sequential Recommendation: A Simple and Effective Approach
Jialei Chen, Yuanbo Xu, Yiheng Jiang
In this paper, we focus on the often-overlooked issue of embedding collapse in existing diffusion-based sequential recommendation models and propose ADRec, an innovative framework…
SurgicalGS: Dynamic 3D Gaussian Splatting for Accurate Robotic-Assisted Surgical Scene Reconstruction
Jialei Chen, Xin Zhang, Mobarakol Islam +4
Accurate 3D reconstruction of dynamic surgical scenes from endoscopic video is essential for robotic-assisted surgery. While recent 3D Gaussian Splatting methods have shown promise…
Split-and-Fit: Learning B-Reps via Structure-Aware Voronoi Partitioning
Yilin Liu, Jiale Chen, Shanshan Pan +3
We introduce a novel method for acquiring boundary representations (B-Reps) of 3D CAD models which involves a two-step process: it first applies a spatial partitioning, referred to…