《SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations》目前还是arxiv的预刊印版本,作者是波恩大学的团队,一作本身也是MULLS的作者(MULLS之前有写过论文分析,超链接)。这篇文章主要做的是NERF+SLAM建图的工作,感觉今年ICRA和IROS这个方向的论文会杀得血流成河,竞争很激烈...
所有代码,数据,预训练模型均开源在https://github.com/Luffy03/Large-Scale-Medical。 论文:Linshan Wu, Jiaxin Zhuang, and Hao Chen. "Large-Scale 3D Medical Image Pre-training with Geometric Context Priors". CVPR 2024 Extension Introduction 医学图像分析中标注的稀缺性构成了一个重要挑战,这要求放射科医...
"Large-Scale 3D Data Integration: Challenges and Opportunities" examines the fundamental aspects of 3D geo-information, focusing on the latest developments in 3D GIS (geographic information) and AEC (architecture, engineering, construction) systems. This book addresses policy makers, designers and engine...
@inproceedings{ren2024xcube, title={XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies}, author={Ren, Xuanchi and Huang, Jiahui and Zeng, Xiaohui and Museth, Ken and Fidler, Sanja and Williams, Francis}, booktitle={Proceedings of the IEEE/CVF Conference on Computer Visi...
Research on small-scale 3D printing has rapidly evolved, where numerous industrial products have been tested and successfully applied. Nonetheless, research on large-scale 3D printing, directed to large-scale applications such as construction and automotive manufacturing, yet demands a great a great ...
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Large-scale 3D Data integration: Challenges and Opportunities Publisher's description: The collection examines the fundamental aspects of 3D geo-information, focusing on the latest developments in 3D GIS (geographic information) and AEC (architecture, engineering, construction) systems. This book a......
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We evaluate our method on three large-scale benchmarks: YCB-Video, JHUScene-50 and ObjectNet-3D. Our approach achieves competitive or superior ... C Li,J Bai,GD Hager - European Conference on Computer Vision 被引量: 0发表: 2018年 加载更多研究点推荐 Large-Scale 3D Scene Classification mul...