no code implementations • 30 Nov 2023 • Zhangsihao Yang, Mingyuan Zhou, Mengyi Shan, Bingbing Wen, Ziwei Xuan, Mitch Hill, Junjie Bai, Guo-Jun Qi, Yalin Wang
Our paper aims to generate diverse and realistic animal motion sequences from textual descriptions, without a large-scale animal text-motion dataset.
no code implementations • 28 Jun 2023 • Chuanyue Shen, Letian Zhang, Zhangsihao Yang, Masood Mortazavi, Xiyun Song, Liang Peng, Heather Yu
Efficient photorealistic rendering of human 3D dynamics is the core of immersive meetings.
no code implementations • 8 Feb 2023 • Mohammad Farazi, Zhangsihao Yang, Wenhui Zhu, Peijie Qiu, Yalin Wang
Our results show the superiority of our LBO-based convolution layer and adapted pooling over the conventionally used unitary cortical thickness, graph Laplacian, and point cloud representation.
2 code implementations • 6 Feb 2023 • Wenhui Zhu, Peijie Qiu, Oana M. Dumitrascu, Jacob M. Sobczak, Mohammad Farazi, Zhangsihao Yang, Keshav Nandakumar, Yalin Wang
Non-mydriatic retinal color fundus photography (CFP) is widely available due to the advantage of not requiring pupillary dilation, however, is prone to poor quality due to operators, systemic imperfections, or patient-related causes.
no code implementations • 17 Oct 2022 • Mohammad Farazi, Wenhui Zhu, Zhangsihao Yang, Yalin Wang
This paper studies 3D dense shape correspondence, a key shape analysis application in computer vision and graphics.
no code implementations • 6 Feb 2020 • Zhangsihao Yang, Or Litany, Tolga Birdal, Srinath Sridhar, Leonidas Guibas
In this work, we wish to challenge this practice and use a neural network to learn descriptors directly from the raw mesh.
no code implementations • 16 Apr 2019 • Wentai Zhang, Zhangsihao Yang, Haoliang Jiang, Suyash Nigam, Soji Yamakawa, Tomotake Furuhata, Kenji Shimada, Levent Burak Kara
We propose a data-driven 3D shape design method that can learn a generative model from a corpus of existing designs, and use this model to produce a wide range of new designs.
no code implementations • 5 Aug 2018 • Zhangsihao Yang, Haoliang Jiang, Zou Lan
Through this project, we expect the output can show a clear and smooth interpretation of model from different categories to develop a fast design support to generate novel shapes.
no code implementations • 8 Jul 2018 • Wentai Zhang, Haoliang Jiang, Zhangsihao Yang, Soji Yamakawa, Kenji Shimada, Levent Burak Kara
High quality upsampling of sparse 3D point clouds is critically useful for a wide range of geometric operations such as reconstruction, rendering, meshing, and analysis.