Shengjun Zhang

I am a Ph.D student in the Department of Electronic Engineering at Tsinghua University, advised by Prof. Yueqi Duan. Before that, I obtained my B.Eng. in the Department of Engineering Physics, Tsinghua University.

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In this paper, we propose Gaussian Graph Network (GGN) to generate efficient and generalizable Gaussian representations.

In this paper, we propose Physics3D, a novel method for learning various physical properties of 3D objects through a video diffusion model. Our approach involves designing a highly generalizable physical simulation system based on a viscoelastic material model, which enables us to simulate a wide range of materials with high-fidelity capabilities.

In this paper, we propose geometry-to-voxel auxiliary learning to enable voxel representations to access point-level geometric information, which supports better generalisation of the voxel-based backbone with additional interpretations of multi-sensor point clouds.

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