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Mip-Splatting: Alias-Free 3D Gaussian Splatting | |
2024 | |
会议录名称 | PROCEEDINGS OF THE IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION |
ISSN | 1063-6919 |
页码 | 19447-19456 |
DOI | 10.1109/CVPR52733.2024.01839 |
摘要 | Recently, 3D Gaussian Splatting has demonstrated impressive novel view synthesis results, reaching high fidelity and efficiency. However, strong artifacts can be observed when changing the sampling rate, e.g., by changing focal length or camera distance. We find that the source for this phenomenon can be attributed to the lack of 3D frequency constraints and the usage of a 2D dilation filter. To address this problem, we introduce a 3D smoothing filter to constrains the size of the 3D Gaussian primitives based on the maximal sampling frequency induced by the input views. It eliminates high-frequency artifacts when zooming in. Moreover, replacing 2D dilation with a 2D Mip filter, which simulates a 2D box filter, effectively mitigates aliasing and dilation issues. Our evaluation, including scenarios such a training on single-scale images and testing on multiple scales, validates the effectiveness of our approach. © 2024 IEEE. |
会议名称 | 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024 |
会议地点 | Seattle, WA, United states |
会议日期 | June 16, 2024 - June 22, 2024 |
URL | 查看原文 |
收录类别 | EI |
语种 | 英语 |
出版者 | IEEE Computer Society |
EI入藏号 | 20244317260443 |
原始文献类型 | Conference article (CA) |
引用统计 | 正在获取...
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文献类型 | 会议论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/442544 |
专题 | 信息科学与技术学院_博士生 |
通讯作者 | Chen, Anpei |
作者单位 | 1.University of Tübingen, Germany 2.Tübingen Ai Center, Germany 3.ShanghaiTech University, China 4.Czech Technical University, Prague, Czech Republic |
推荐引用方式 GB/T 7714 | Yu, Zehao,Chen, Anpei,Huang, Binbin,et al. Mip-Splatting: Alias-Free 3D Gaussian Splatting[C]:IEEE Computer Society,2024:19447-19456. |
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