4 papers
BoxDreamer: Dreaming Box Corners for Generalizable Object Pose Estimation
Yuanhong Yu, Xingyi He, Chen Zhao +7
This paper presents a generalizable RGB-based approach for object pose estimation, specifically designed to address challenges in sparse-view settings. While existing methods can e…
Monte Carlo Diffusion for Generalizable Learning-Based RANSAC
Jiale Wang, Chen Zhao, Wei Ke +1
Random Sample Consensus (RANSAC) is a fundamental approach for robustly estimating parametric models from noisy data. Existing learning-based RANSAC methods utilize deep learning t…
Temporally Compressed 3D Gaussian Splatting for Dynamic Scenes
Saqib Javed, Ahmad Jarrar Khan, Corentin Dumery +2
Recent advancements in high-fidelity dynamic scene reconstruction have leveraged dynamic 3D Gaussians and 4D Gaussian Splatting for realistic scene representation. However, to make…
Self-Ensembling Gaussian Splatting for Few-Shot Novel View Synthesis
Chen Zhao, Xuan Wang, Tong Zhang +2
3D Gaussian Splatting (3DGS) has demonstrated remarkable effectiveness in novel view synthesis (NVS). However, 3DGS tends to overfit when trained with sparse views, limiting its ge…