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20242026
most citedView Transformation Robustness for Multi-View 3D Object Reconstruction with Reconstruction Error-Guided View Selection

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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

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

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.CV20241 cited

View Transformation Robustness for Multi-View 3D Object Reconstruction with Reconstruction Error-Guided View Selection

Qi Zhang, Zhouhang Luo, Tao Yu +1

View transformation robustness (VTR) is critical for deep-learning-based multi-view 3D object reconstruction models, which indicates the methods' stability under inputs with variou…

cs.CV2024

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…