| 1 |
LiDAR-GS++:Improving LiDAR Gaussian Reconstruction via Diffusion Priors |
LiDAR-GS++:利用扩散先验改进LiDAR高斯重建,提升新视角合成质量 |
gaussian splatting NeRF neural radiance |
|
|
| 2 |
Changes in Real Time: Online Scene Change Detection with Multi-View Fusion |
提出一种基于多视角融合的在线场景变化检测方法,达到SOTA性能。 |
3D gaussian splatting gaussian splatting pose estimation |
|
|
| 3 |
Rethinking Multimodal Point Cloud Completion: A Completion-by-Correction Perspective |
提出Completion-by-Correction方法以解决点云补全中的结构不一致问题 |
point cloud |
|
|
| 4 |
Point Cloud Quantization through Multimodal Prompting for 3D Understanding |
提出基于多模态Prompt的点云量化方法,用于提升3D理解能力 |
point cloud |
|
|
| 5 |
UniABG: Unified Adversarial View Bridging and Graph Correspondence for Unsupervised Cross-View Geo-Localization |
提出UniABG,通过对抗视角桥接和图对应校准实现无监督跨视角地理定位 |
localization |
✅ |
|
| 6 |
SRSplat: Feed-Forward Super-Resolution Gaussian Splatting from Sparse Multi-View Images |
SRSplat:基于稀疏多视角图像的前馈超分辨率高斯溅射重建 |
gaussian splatting |
|
|