Zijian Cao — accepted AI-conference papers

2026

3DReflecNet: A Large-Scale Dataset for 3D Reconstruction of Reflective, Transparent, and Low-Texture Objects

Zhicheng Liang, Haoyi Yu, Boyan Li, Dayou Zhang, Zijian Cao, Tianyi Gong +3

CVPR 2026

Accurate 3D reconstruction of objects with reflective, transparent, or low-texture surfaces still remains notoriously challenging. Such materials often violate key assumptions in multi-view reconstruction pipelines, such as photometric consistency and the availability on distinct geometric texture c

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2026

Maniflat3D: Learning 3D Geometry Through Planar Representations from Multi-Layer Unwrapping

Zijian Cao, Dayou Zhang, Zeyuan Liu, Zhicheng Liang, Fangxin Wang

AAAI 2026technical

Point-based geometric representations such as point clouds and Gaussian Splatting are fundamental for 3D understanding. However, the inherent irregularity and high-dimensional nature of point structures present significant challenges for direct 3D learning approaches, which often struggle with scala

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