Hi there! I am a Ph.D. student in APEX Lab at Simon Fraser University, supervised by Ke Li. Prior to that, I received my Bachelor's degree in computer science from University of Science and Technology of China.
My research focuses on neural rendering and its applications.
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Shichong Peng, Yanshu Zhang, Ke Li
CVPR, 2024 (Highlight)
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@inproceedings{peng2024papr,
title={PAPR in Motion: Seamless Point-level 3D Scene Interpolation},
author={Shichong Peng and Yanshu Zhang and Ke Li},
booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year={2024}
}We introduce the novel problem of point-level 3D scene interpolation. Given observations of a scene at two distinct states from multiple views, the goal is to synthesize a smooth point-level interpolation between them, without any intermediate supervision. Our method, PAPR in Motion, builds upon Proximity Attention Point Rendering (PAPR) technique, and generates seamless interpolations of both the scene geometry and appearance.
Yanshu Zhang*, Shichong Peng*, Alireza Moazeni, Ke Li
NeurIPS, 2023 (Spotlight)
Project Page / Code / arXiv / Video /
@inproceedings{zhang2023papr,
title={PAPR: Proximity Attention Point Rendering},
author={Yanshu Zhang and Shichong Peng and Alireza Moazeni and Ke Li},
booktitle={Thirty-seventh Conference on Neural Information Processing Systems},
year={2023}
}PAPR is a point-based surface representation that uses proximity attention to interpolate between nearby points to rays for rendering high-quality images, enabling non-volume-preserving geometry deformation by directly adjusting point positions, and, unlike 3D Gaussian Splatting, it avoids creating holes while preserving texture details after deformation.
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Template adapted from Qianli Ma's websites. |