免费获取3D高斯点云与签名地球记忆，直接助力物理AI的空间感知开发。
Hi everyone, We added 3D to emem.dev , now you can get the signed answers as well as constructed Gaussian splats all directly from https://emem.dev fo…
3D场景图配准高斯溅射，用语义关联提升点云对齐精度，图形学新突破。
arXiv:2606.29782v1 Announce Type: new Abstract: Merging multiple 3D Gaussian Splatting (3DGS) scenes into a single unified Gaussian representation is …
利用滑动框投影实现薄结构的高精度重建，ICIP 2026前沿方法。
arXiv:2606.04251v1 Announce Type: new Abstract: Reconstructing thin 3D structures is challenging due to their sparsity, scale variation, and complex g…
这篇论文提出一种失败感知的bootstrap方法，解决动态点云理解中的关键难点，为3D视觉研究带来新思路。
arXiv:2602.03890v2 Announce Type: replace Abstract: Point clouds provide a compact and expressive representation of 3D objects, and have recently been…
点云数据能否让大模型更懂空间？这项偏误控制研究揭开了真相。
arXiv:2504.04540v2 Announce Type: replace-cross Abstract: 3D Large Language Models (LLMs) leveraging spatial information in point clouds for 3D spatia…
链式思维加持3D点云推理，PointLLM-R让大模型空间理解更精准
arXiv:2605.22013v1 Announce Type: new Abstract: Understanding 3D point clouds through language remains a fundamental challenge in computer graphics an…
稀疏点云条件3D扩散模型中的电路与分岔现象，揭示安全关键重建的底层机制
arXiv:2602.11130v2 Announce Type: replace Abstract: Sparse point clouds are a common input modality for 3D surface reconstruction, including in safety…
点云学习新方法，用微分形式编码高阶切信息，突破传统坐标与距离限制。
arXiv:2605.15524v1 Announce Type: cross Abstract: Point cloud learning often rests on the premise that observed samples are noisy traces of an underly…