Biography
Biao Zhang is a postdoc researcher in Computer Science department at KAUST. He obtained Ph.D degree in 2023 from KAUST, supervised by Prof. Peter Wonka. He is broadly interested in machine learning, deep learning and 3d vision. His current research interests include 3d generative models.
Interests
- Artificial Intelligence
- Machine Learning
- Deep Learning
- 3D Vision
- Generative Models
Recent Publications
Find more publications via Google Scholar.
(2024).
Functional Diffusion.
In CVPR 2024.
(2024).
Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking .
In CVPR 2024.
(2023).
3DShape2VecSet: A 3d shape representation for neural fields and generative diffusion models.
In SIGGRAPH 2023 (TOG).
(2022).
3DILG: Irregular Latent Grids for 3D Generative Modeling.
In NeurIPS 2022.
(2022).
Training Data Generating Networks: Shape Reconstruction via Bi-level Optimization.
In ICLR 2022.
(2021).
Intuitive and Efficient Roof Modeling for Reconstruction and Synthesis.
In SIGGRAPH Asia 2021.
(2021).
Point cloud instance segmentation using probabilistic embeddings.
In CVPR 2021.
Contact
- biao.zhang [at] kaust.edu.sa