Nan Wang   王楠

I am a Second-year Computer Science Master's student at CAD Research Center, Tongji University.

My research interests focus on 3D Vision(Neural rendering, 3dgs, Multi View Stereo, etc).

If you find any research interests that we might share, feel free to drop me an email. I am always open to potential collaborations.

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中文 / English
 日本語(learning)/ français(learning)

• [10/2024] I have been on an internship at Shanghai Noematrix Intelligence Technology Ltd.
• [05/2024] I have been on an internship at Xiaomi Robot Technology.
• [12/2023] I have been on a research internship at Institute for Al Industry Research (AIR), Tsinghua University.

Much of my research is about inferring the physical world (shape, motion, color, light, etc) from images and 3D raw data. Representative papers are highlighted.

We use semantic features derived from 2D foundation model to revolutionize the material property optimization for 3DGS.

We leverage the 3D geometry information and the semantic features to address the challenge of 3D instance segmentation.

We use 3D Gaussain Splating to build a novel robotics simulator, the physical simulation is implemented by ISSAC SIM while the photorealistic render is implemented by 3DGS.

A key sub-problem: meta-learning from learning curves is an mature but gradually attention area within the field of meta-learning.

I use 3D Gaussian Splatting and nerfstudio to build an implementation, which can accomplish the 3D scene decomposition and Reconstruction.

We combine local and global features of the structures and performance to perform few-shot point cloud semantic segmentation.