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Diff-pcg: diffusion point cloud generation conditioned on continuous normalizing flow | |
Yu T(余挺)![]() ![]() ![]() ![]() ![]() | |
发表期刊 | The Visual Computer
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ISSN | 0178-2789 |
2024 | |
页码 | 1-15 |
通讯作者 | Guo, Jianwei(jianwei.guo@nlpr.ia.ac.cn) ; Zhang, Xiaopeng(xiaopeng.zhang@ia.ac.cn) |
摘要 | With the continuous advancement of computer technology and graphic capabilities, the creation of 3D point clouds holds great promise across various fields. However, previous methods in this area are still facing huge challenges, such as complex training setups and limited precision in generating high-quality 3D content. Taking inspiration from the denoising diffusion probabilistic model, we propose Diff-PCG, a Diffusion Point Cloud Generation Conditioned on Continuous Normalizing Flow for 3D generation. Our approach seamlessly combines forward diffusion and reverse processes to produce high-quality 3D point clouds. Moreover, we include a trainable continuous normalizing flow that controls the foundational structure of the point cloud to enhance the representation ability of the encoded information. Extensive experiments validate the efficacy of our approach in generating high-quality 3D point clouds. |
关键词 | 3D shape generation Diffusion model Continuous normalizing flow Point cloud |
DOI | 10.1007/s00371-024-03370-x |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China ; Guangdong Science and Technology Program[2023B1515120026] ; Beijing Natural Science Foundation[L231013] ; Open Project Program of State Key Laboratory of Virtual Reality Technology and Systems, Beihang University[VRLAB2023B01] ; [U22B2034] ; [U21A20515] ; [62376271] ; [62172416] ; [62262043] ; [62102414] ; [62365014] ; [62162044] |
项目资助者 | National Natural Science Foundation of China ; Guangdong Science and Technology Program ; Beijing Natural Science Foundation ; Open Project Program of State Key Laboratory of Virtual Reality Technology and Systems, Beihang University |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Software Engineering |
WOS记录号 | WOS:001198420700002 |
出版者 | SPRINGER |
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 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/57342 |
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 JW(郭建伟); Zhang XP(张晓鹏) |
作者单位 | 1.State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China 2.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China 3.Institute of Science and Development, Chinese Academy of Sciences, Beijing, China |
推荐引用方式 GB/T 7714 | Yu T,Meng WL,Wu ZQ,et al. Diff-pcg: diffusion point cloud generation conditioned on continuous normalizing flow[J]. The Visual Computer,2024:1-15. |
APA | Yu T,Meng WL,Wu ZQ,Guo JW,&Zhang XP.(2024).Diff-pcg: diffusion point cloud generation conditioned on continuous normalizing flow.The Visual Computer,1-15. |
MLA | Yu T,et al."Diff-pcg: diffusion point cloud generation conditioned on continuous normalizing flow".The Visual Computer (2024):1-15. |
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s00371-024-03370-x.p(2471KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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