Bin Zang — accepted AI-conference papers

2026

HIVE-3D: Hierarchical Voxel Enhancement for High-Quality 3D Scene Generation

Bin Zang, Rengan Xie, Xiaoliang Luo, Zhiyuan Fang, Shi Li, Lvchun Wang +5

ICML 2026poster

Recently, a line of works can generate impressive 3D objects from a single image, but they are limited by restricted representation resolution, making them unsuitable for 3D scene generation. In this work, we introduce \name, a novel method for high-quality 3D scene generation based on hierarchical …

Cited by 0 Source ↗Scholar ↗

2022

Causality Inspired Representation Learning for Domain Generalization

Fangrui Lv, Jian Liang, Shuang Li, Bin Zang, Chi Harold Liu, Ziteng Wang +1

CVPR 2022oral

Domain generalization (DG) is essentially an out-of-distribution problem, aiming to generalize the knowledge learned from multiple source domains to an unseen target domain. The mainstream is to leverage statistical models to model the dependence between data and labels, intending to learn represent…

Cited by 213 PDF ↗code ↗Scholar ↗