Knowledge Commons of Institute of Automation,CAS
SVDTree: Semantic Voxel Diffusion for Single Image Tree Reconstruction | |
Li, Yuan1; Liu, Zhihao2; Benes, Bedrich3; Zhang, Xiaopeng1![]() ![]() | |
2024-08-22 | |
会议名称 | IEEE Conference on Computer Vision and Pattern Recognition (CVPR) |
会议日期 | 2024-6-17至2024-6-24 |
会议地点 | Seattle, USA |
摘要 | Efficiently representing and reconstructing the 3D geometry of biological trees remains a challenging problem in computer vision and graphics. We propose a novel approach for generating realistic tree models from single-view photographs. We cast the 3D information inference problem to a semantic voxel diffusion process, which converts an input image of a tree to a novel Semantic Voxel Structure (SVS) in 3D space. The SVS encodes the geometric appearance and semantic structural information (e.g., classifying trunks, branches, and leaves), which retains the intricate internal tree features. Tailored to the SVS, we present SVDTree a new hybrid tree modeling approach by combining structure-oriented branch reconstruction and self-organization-based foliage reconstruction. We validate SVDTree by using images from both synthetic and real trees. The comparison results show that our approach can better preserve tree details and achieve more realistic and accurate reconstruction results than previous methods. |
关键词 | 3D tree reconstruction Diffusion model |
学科门类 | 工学::计算机科学与技术(可授工学、理学学位) |
收录类别 | EI |
是否为代表性论文 | 是 |
七大方向——子方向分类 | 计算机图形学与虚拟现实 |
国重实验室规划方向分类 | 环境多维感知 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/57142 |
专题 | 多模态人工智能系统全国重点实验室_三维可视计算 |
通讯作者 | Guo, Jianwei |
作者单位 | 1.MAIS, Institute of Automation, Chinese Academy of Sciences 2.The University of Tokyo 3.Purdue University |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Li, Yuan,Liu, Zhihao,Benes, Bedrich,et al. SVDTree: Semantic Voxel Diffusion for Single Image Tree Reconstruction[C],2024. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
2024-CVPR-SVDTree Se(9250KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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