collaborators

6 papers

cs.CV2025

YoNoSplat: You Only Need One Model for Feedforward 3D Gaussian Splatting

Botao Ye, Boqi Chen, Haofei Xu +2

Fast and flexible 3D scene reconstruction from unstructured image collections remains a significant challenge. We present YoNoSplat, a feedforward model that reconstructs high-qual…

cs.CV2025

Multi-View 3D Point Tracking

Frano Rajič, Haofei Xu, Marko Mihajlovic +7

We introduce the first data-driven multi-view 3D point tracker, designed to track arbitrary points in dynamic scenes using multiple camera views. Unlike existing monocular trackers…

cs.CY2025

What does the public want their local government to hear? A data-driven case study of public comments across the state of Michigan

Chang Ge, Justine Zhang, Haofei Xu +3

City council meetings are vital sites for civic participation where the public can speak directly to their local government. By addressing city officials and calling on them to tak…

cs.CV2025

CL-Splats: Continual Learning of Gaussian Splatting with Local Optimization

Jan Ackermann, Jonas Kulhanek, Shengqu Cai +5

In dynamic 3D environments, accurately updating scene representations over time is crucial for applications in robotics, mixed reality, and embodied AI. As scenes evolve, efficient…

cs.CV2024

No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images

Botao Ye, Sifei Liu, Haofei Xu +4

We introduce NoPoSplat, a feed-forward model capable of reconstructing 3D scenes parameterized by 3D Gaussians from \textit{unposed} sparse multi-view images. Our model, trained ex…

cs.CV2024

DepthSplat: Connecting Gaussian Splatting and Depth

Haofei Xu, Songyou Peng, Fangjinhua Wang +4

Gaussian splatting and single-view depth estimation are typically studied in isolation. In this paper, we present DepthSplat to connect Gaussian splatting and depth estimation and…