1 code implementation • 22 Nov 2023 • Zhiqin Chen, Qimin Chen, Hang Zhou, Hao Zhang
To accommodate structural variations in the collection, our network composes each shape by a selected subset of template parts which are affine-transformed.
1 code implementation • 8 Jun 2023 • Qimin Chen, Zhiqin Chen, Hang Zhou, Hao Zhang
Furthermore, we showcase the ability of our method to learn geometric details and textures from shapes reconstructed from real-world photos.
no code implementations • CVPR 2022 • Qimin Chen, Johannes Merz, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang
We introduce UNIST, the first deep neural implicit model for general-purpose, unpaired shape-to-shape translation, in both 2D and 3D domains.