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I am currently a second-year Master student (since fall, 2023) majoring in Software Engineering in School of Software, Tsinghua University, supversied by Prof. Yu-Shen Liu. My research interests lie in the area of 3D computer vision and grapics, especially in 3D reconstruction, multi-view 3D reconstruction, generative models and and surface reconstruction from point clouds. |
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(* Equal Contribution) |
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Junsheng zhou*, Weiqi Zhang*, Yu-Shen Liu, Conference on Neural Information Processing Systems (NeurIPS), 2024 project page | arXiv | code DiffGS is a powerful and efficient 3D generative model capable of generating Gaussian primitives in arbitrary numbers, with a functional disentanglement of Gaussian Splatting. |
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Takeshi Noda*, Chao Chen*, Weiqi Zhang, Xinhai Liu, Yu-Shen Liu, Zhizhong han Conference on Neural Information Processing Systems (NeurIPS), 2024 project page | arXiv | code MultiPull is a novel method that improves 3D surface reconstruction from point clouds by optimizing multi-scale implicit fields and leveraging frequency features. |
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Junsheng zhou*, Weiqi Zhang*, Baorui Ma, Yu-Shen Liu, Kanle Shi, Zhizhong han IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 project page | arXiv | code We present UDiFF, a 3D diffusion model for unsigned distance fields (UDFs) which is capable to generate textured 3D shapes with open surfaces from text conditions or unconditionally. |
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