Biao Zhang

According to our database, Biao Zhang authored at least 29 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Patchwork: A compact representation for 3D polygonal shapes.

Ruichen Zheng, Biao Zhang, Michael Birsak, Mikhail Skopenkov, Peter Wonka

CoRR, May, 2026

FACE: A Face-based Autoregressive Representation for High-Fidelity and Efficient Mesh Generation.

Hanxiao Wang, Yuan-Chen Guo, Ying-Tian Liu, Zi-Xin Zou, Biao Zhang, Weize Quan, Ding Liang, Yan-Pei Cao, Dong-Ming Yan

CoRR, March, 2026

2025

BrepGPT: Autoregressive B-rep Generation with Voronoi Half-Patch.

Pu Li, Wenhao Zhang, Weize Quan, Biao Zhang, Peter Wonka, Dong-Ming Yan

ACM Trans. Graph., December, 2025

PoseGAM: Robust Unseen Object Pose Estimation via Geometry-Aware Multi-View Reasoning.

Jianqi Chen, Biao Zhang, Xiangjun Tang, Peter Wonka

CoRR, December, 2025

Human Geometry Distribution for 3D Animation Generation.

Xiangjun Tang, Biao Zhang, Peter Wonka

CoRR, December, 2025

LumiX: Structured and Coherent Text-to-Intrinsic Generation.

Xu Han, Biao Zhang, Xiangjun Tang, Xianzhi Li, Peter Wonka

CoRR, December, 2025

efunc: An Efficient Function Representation without Neural Networks.

Biao Zhang, Peter Wonka

CoRR, May, 2025

LaRI: Layered Ray Intersections for Single-view 3D Geometric Reasoning.

Rui Li, Biao Zhang, Zhenyu Li, Federico Tombari, Peter Wonka

CoRR, April, 2025

iFlame: Interleaving Full and Linear Attention for Efficient Mesh Generation.

Hanxiao Wang, Biao Zhang, Weize Quan, Dong-Ming Yan, Peter Wonka

CoRR, March, 2025

Generative Human Geometry Distribution.

Xiangjun Tang, Biao Zhang, Peter Wonka

CoRR, March, 2025

Autoregressive Generation of Static and Growing Trees.

Hanxiao Wang, Biao Zhang, Jonathan Klein, Dominik L. Michels, Dong-Ming Yan, Peter Wonka

Proceedings of the SIGGRAPH Asia 2025 Conference Papers, 2025

MatCLIP: Light- and Shape-Insensitive Assignment of PBR Material Models.

Michael Birsak, John Femiani, Biao Zhang, Peter Wonka

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2025

LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion.

Biao Zhang, Peter Wonka

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Geometry Distributions.

Biao Zhang, Jing Ren, Peter Wonka

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

V2M4: 4D Mesh Animation Reconstruction from a Single Monocular Video.

Jianqi Chen, Biao Zhang, Xiangjun Tang, Peter Wonka

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

MDP: A Generalized Framework for Text-Guided Image Editing by Manipulating the Diffusion Path.

Qian Wang, Biao Zhang, Michael Birsak, Peter Wonka

Trans. Mach. Learn. Res., 2024

A Lennard-Jones Layer for Distribution Normalization.

Mulun Na, Jonathan Klein, Biao Zhang, Wojtek Palubicki, Sören Pirk, Dominik L. Michels

Trans. Mach. Learn. Res., 2024

Vivid-ZOO: Multi-View Video Generation with Diffusion Model.

Bing Li, Cheng Zheng, Wenxuan Zhu, Jinjie Mai, Biao Zhang, Peter Wonka, Bernard Ghanem

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Motion2VecSets: 4D Latent Vector Set Diffusion for Non-Rigid Shape Reconstruction and Tracking.

Wei Cao, Chang Luo, Biao Zhang, Matthias Nießner, Jiapeng Tang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Functional Diffusion.

Biao Zhang, Peter Wonka

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models.

Biao Zhang, Jiapeng Tang, Matthias Nießner, Peter Wonka

ACM Trans. Graph., August, 2023

InstructEdit: Improving Automatic Masks for Diffusion-based Image Editing With User Instructions.

Qian Wang, Biao Zhang, Michael Birsak, Peter Wonka

CoRR, 2023

2022

3DILG: Irregular Latent Grids for 3D Generative Modeling.

Biao Zhang, Matthias Nießner, Peter Wonka

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Training Data Generating Networks: Shape Reconstruction via Bi-level Optimization.

Biao Zhang, Peter Wonka

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Intuitive and efficient roof modeling for reconstruction and synthesis.

Jing Ren, Biao Zhang, Bojian Wu, Jianqiang Huang, Lubin Fan, Maks Ovsjanikov, Peter Wonka

ACM Trans. Graph., 2021

Point Cloud Instance Segmentation Using Probabilistic Embeddings.

Biao Zhang, Peter Wonka

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Training Data Generating Networks: Linking 3D Shapes and Few-Shot Classification.

Biao Zhang, Peter Wonka

CoRR, 2020

2015

Robust low-rank tensor factorization by cyclic weighted median.

Deyu Meng, Biao Zhang, Zongben Xu, Lei Zhang, Chenqiang Gao

Sci. China Inf. Sci., 2015

2014

Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising.

Yi Peng, Deyu Meng, Zongben Xu, Chenqiang Gao, Yi Yang, Biao Zhang

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014