1 citations · 2 across the 9 of their papers we have counts for
10 papers
Sparse-View 4D Gaussian Splatting via Spatiotemporal Priors and Generative Assistance
Shengqi Wang, Zhengxian Yang, Kaiwen Tian +6
We present a 4D Gaussian Splatting framework for the Sparse-View Track of the SIGGRAPH Asia 2026 Volumetric Video Challenge, which requires dynamic scene reconstruction from only s…
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…
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…
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…
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…
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…
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…
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…
HHMR: Holistic Hand Mesh Recovery by Enhancing the Multimodal Controllability of Graph Diffusion Models
Mengcheng Li, Hongwen Zhang, Yuxiang Zhang +3
Recent years have witnessed a trend of the deep integration of the generation and reconstruction paradigms. In this paper, we extend the ability of controllable generative models f…
HDhuman: High-quality Human Novel-view Rendering from Sparse Views
Tiansong Zhou, Jing Huang, Tao Yu +2
In this paper, we aim to address the challenge of novel view rendering of human performers who wear clothes with complex texture patterns using a sparse set of camera views. Althou…