no code implementations • 10 Apr 2024 • Tianxin Huang, Zhiwen Yan, Yuyang Zhao, Gim Hee Lee
3D point cloud completion is designed to recover complete shapes from partially observed point clouds.
no code implementations • 28 Nov 2023 • Zhiwen Yan, Weng Fei Low, Yu Chen, Gim Hee Lee
During low resolution or far away rendering, the pixel size of the image can fall below the Nyquist frequency compared to the screen size of each splatted 3D Gaussian and leads to aliasing effect.
no code implementations • 24 Nov 2023 • Yuyang Zhao, Zhiwen Yan, Enze Xie, Lanqing Hong, Zhenguo Li, Gim Hee Lee
We introduce Animate124 (Animate-one-image-to-4D), the first work to animate a single in-the-wild image into 3D video through textual motion descriptions, an underexplored problem with significant applications.
no code implementations • 24 May 2023 • Zhiwen Yan, Chen Li, Gim Hee Lee
Dynamic neural radiance fields (dynamic NeRFs) have demonstrated impressive results in novel view synthesis on 3D dynamic scenes.
1 code implementation • CVPR 2023 • Zhiwen Yan, Chen Li, Gim Hee Lee
We evaluate our model based on the novel view synthesis quality with a self-collected dataset of different moving specular objects in realistic environments.
1 code implementation • 23 Dec 2021 • Zhiwen Yan, Teck Khim Ng
Adversarial training, the process of training a deep learning model with adversarial data, is one of the most successful adversarial defense methods for deep learning models.