11 citations · 12 across the 7 of their papers we have counts for
6 papers · 1 filter
SV-GS: Sparse View 4D Reconstruction with Skeleton-Driven Gaussian Splatting
Jun-Jee Chao, Volkan Isler
Reconstructing a dynamic target moving over a large area is challenging. Standard approaches for dynamic object reconstruction require dense coverage in both the viewing space and…
Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians
Jun-Jee Chao, Qingyuan Jiang, Volkan Isler
Part segmentation and motion estimation are two fundamental problems for articulated object motion analysis. In this paper, we present a method to solve these two problems jointly…
VioLA: Aligning Videos to 2D LiDAR Scans
Jun-Jee Chao, Selim Engin, Nikhil Chavan-Dafle +2
We study the problem of aligning a video that captures a local portion of an environment to the 2D LiDAR scan of the entire environment. We introduce a method (VioLA) that starts w…
3D Surface Reconstruction in the Wild by Deforming Shape Priors from Synthetic Data
Nicolai Häni, Jun-Jee Chao, Volkan Isler
Reconstructing the underlying 3D surface of an object from a single image is a challenging problem that has received extensive attention from the computer vision community. Many le…
Category-Level Global Camera Pose Estimation with Multi-Hypothesis Point Cloud Correspondences
Jun-Jee Chao, Selim Engin, Nicolai Häni +1
Correspondence search is an essential step in rigid point cloud registration algorithms. Most methods maintain a single correspondence at each step and gradually remove wrong corre…
Continuous Object Representation Networks: Novel View Synthesis without Target View Supervision
Nicolai Häni, Selim Engin, Jun-Jee Chao +1
Novel View Synthesis (NVS) is concerned with synthesizing views under camera viewpoint transformations from one or multiple input images. NVS requires explicit reasoning about 3D o…