collaborators

7 papers

cs.CV2026

Multiview Multi-Person Human Mesh Recovery Under Large Scenes with Occlusions

Qi Zhang, Tao Yu, Jiechao He +2

Human mesh recovery (HMR) aims to recover 3D human meshes from images. Most existing HMR benchmarks and methods focus on either multi-person reconstruction from a single view or si…

cs.CV2026

MetricHMSR:Metric Human Mesh and Scene Recovery from Monocular Images

Chentao Song, He Zhang, Haolei Yuan +4

We introduce MetricHMSR, a novel framework for recovering metric human meshes and 3D scenes from a single monocular image. Existing methods struggle to recover metric scale due to…

cs.RO2026

LIT-GS: LiDAR-Inertial-Thermal Gaussian Splatting for Illumination-Robust Mapping

Shikuan Shi, Chunran Zheng, Jiaming Xu +3

Gaussian Splatting has enabled real-time neural rendering, yet existing LiDAR-inertial-visual (LIV) Gaussian mapping pipelines remain fragile under illumination changes and texture…

cs.CV2026

DirectFisheye-GS: Enabling Native Fisheye Input in Gaussian Splatting with Cross-View Joint Optimization

Zhengxian Yang, Fei Xie, Xutao Xue +5

3D Gaussian Splatting (3DGS) has enabled efficient 3D scene reconstruction from everyday images with real-time, high-fidelity rendering, greatly advancing VR/AR applications. Fishe…

cs.CV2026

Monocular Mesh Recovery and Body Measurement of Female Saanen Goats

Bo Jin, Shichao Zhao, Jin Lyu +5

The lactation performance of Saanen dairy goats, renowned for their high milk yield, is intrinsically linked to their body size, making accurate 3D body measurement essential for a…

cs.CV2025

Neural Octahedral Field: Octahedral prior for simultaneous smoothing and sharp edge regularization

Ruichen Zheng, Tao Yu, Ruizhen Hu

Neural implicit representation, the parameterization of a continuous distance function as a Multi-Layer Perceptron (MLP), has emerged as a promising lead in tackling surface recons…