Xinqi Liu — accepted AI-conference papers

2024

MBRVO: A Blur Robust Visual Odometry Based on Motion Blurred Artifact Prior

Jialu Zhang, Jituo Li, Jiaqi Li, Yue Sun, Xinqi Liu, Zhi Zheng +1

RA-L 2024

How to estimate camera pose from motion-blurred images remains a challenge for visual odometry. The blurring artifacts are inevitably caused by the exposure during camera motion. While current visual odometry regards them as noise, we argue that it is necessary to extract potential information from

Cited by 3 Source ↗Scholar ↗

2024

TexOct: Generating Textures of 3D Models with Octree-based Diffusion

Jialun Liu, Chenming Wu, Xinqi Liu, Xing Liu, Jinbo Wu, Haotian Peng +4

CVPR 2024poster

This paper focuses on synthesizing high-quality and complete textures directly on the surface of 3D models within 3D space. 2D diffusion-based methods face challenges in generating 2D texture maps due to the infinite possibilities of UV mapping for a given 3D mesh. Utilizing point clouds helps circu…

Cited by 1 Source ↗PDF ↗Scholar ↗