A systematic study of 3DGS under sparse-view conditions and varying input resolutions identifies and quantify a trade-off: lower-resolution inputs facilitate stable global geometry reconstruction, whereas higher-resolution inputs enable finer detail recovery but introduce high-frequency artifacts and instability.
Results indicate that a direct, multi-attribute 3D consistency objective, when combined with high-quality correspondences, is effective for addressing the ill-posed sparse-view reconstruction problem.
Jinqian Yang, Yichen Wu, Wanhua Li et al.· arXiv.org· 1 citation
AnyGS2Mesh is presented, the first feed-forward framework for directly reconstructing 3D meshes from 3D Gaussian Splatting representations with support for arbitrary input image resolutions, and demonstrates the potential of combining Gaussian representations and feed-forward Transformer architectures for scalable 3D g...
Yuxuan Song, Fan Gao, Yi-Bo Zhao et al.· 0 citations
OC-CDGS, a novel framework leveraging Octree-structured 3D Gaussian Splatting (3DGS) with Combined Depth Regularization (CDR), organizes sparse point clouds into hierarchical octree-structured anchors, enabling efficient decoding of neural Gaussian attributes through compact MLPs.
This work proposes a novel 3D-aware video restoration framework designed to enhance the quality of sparse 3DGS reconstruction and introduces a camera-conditioned geometric prior that guides the network toward geometrically grounded restoration that remains coherent across viewpoints.
Xinhui Liu, Can Wang, Wei Jiang et al.· 1 citation
This work proposes an Iterative Spatial Decomposition framework that bridges dense geometric priors from Multi-View Stereo (MVS) with Gaussian Splatting and introduces Hierarchical Geometric Prior Sampling (HGPS), which substantially reduce redundancy in MVS point clouds while preserving critical details, thereby provi...
Zong-Hua Yu, Jun-Huai Li, Huai-Jun Wang et al.· ACM Transactions on Multimed...· 0 citations
A semantic-guided 3D Gaussian splatting (3DGS) framework tailored to sparse-view industrial reconstruction was introduced, enabling robust reconstruction from limited viewpoints and offers a practical geometric foundation for automated inspection and remote equipment monitoring.
Bo-Yang Li, Tian-Han Gao, Zuan Gu et al.· Visual Computing for Industr...· 0 citations
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