Papers
1–3 of 3Research Paper·Mar 13, 2026
CMHANet: A Cross-Modal Hybrid Attention Network for Point Cloud Registration
Robust point cloud registration is a fundamental task in 3D computer vision and geometric deep learning, essential for applications such as large-scale 3D reconstruction, augmented reality, and scene ...
8.0 viability
Research Paper·Mar 10, 2026
X-GS: An Extensible Open Framework Unifying 3DGS Architectures with Downstream Multimodal Models
3D Gaussian Splatting (3DGS) has emerged as a powerful technique for novel view synthesis, subsequently extending into numerous spatial AI applications. However, most existing 3DGS methods are isolate...
7.0 viability
Research Paper·Mar 17, 2026
Rethinking Pose Refinement in 3D Gaussian Splatting under Pose Prior and Geometric Uncertainty
3D Gaussian Splatting (3DGS) has recently emerged as a powerful scene representation and is increasingly used for visual localization and pose refinement. However, despite its high-quality differentia...
4.0 viability