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Yixing Lao I'm a PhD Student at The University of Hong Kong, where I work on 3D reconstruction and perception, advised by Hengshuang Zhao. Previously at Intel, I worked on Open3D and Deep Learning Compilers. |
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Research |
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LiT: Unifying LiDAR "Languages" with LiDAR Translator
Yixing Lao, Tao Tang, Xiaoyang Wu, Peng Chen, Kaicheng Yu, Hengshuang Zhao NeurIPS, 2024 project / code (coming soon) / paper (coming soon) A framework for unifying LiDAR data from different domains into a single target "language", enabling efficient zero-shot and unified domain detection capabilities. |
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Pixel-GS: Density Control with Pixel-aware Gradient for 3D Gaussian
Splatting
Zheng Zhang, Wenbo Hu, Yixing Lao, Tong He, Hengshuang Zhao ECCV, 2024 project / code / paper Pixel-aware gradients and scaled gradient field can improve 3D Gaussian Splatting density control. |
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LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields
Tao Tang, Longfei Gao, Guangrun Wang, Yixing Lao, Peng Chen, Hengshuang Zhao, Dayang Hao, Xiaodan Liang, Mathieu Salzmann, Kaicheng Yu ACM Multimedia, 2024 code / paper / video LiDAR novel-view synthesis with neural radiance fields, enhancing realism for 3D scene reconstructions. |
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Objects with Lighting: A Real-World Dataset for Evaluating Reconstruction
and Rendering for Object Relighting
Benjamin Ummenhofer, Sanskar Agrawal, Rene Sepulveda, Yixing Lao, Kai Zhang, Tianhang Cheng, Stephan R. Richter, Shenlong Wang, German Ros 3DV, 2024 code / paper A real-world dataset for evaluating inverse rendering methods in object relighting, allowing for a comprehensive analysis of relighting performance. |
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CorresNeRF: Image Correspondence Priors for Neural Radiance Fields
Yixing Lao, Xiaogang Xu, Zhipeng Cai, Xihui Liu, Hengshuang Zhao NeurIPS, 2023 project / code / paper Utilizing image correspondences as NeRF priors improves novel view synthesis and surface reconstruction. |
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Point Transformer V2: Grouped Vector Attention and Partition-based
Pooling
Xiaoyang Wu, Yixing Lao, Li Jiang, Xihui Liu, Hengshuang Zhao NeurIPS, 2022 code / paper Grouped Vector Attention and Partition-based Pooling make transformers effective and efficient for point cloud recognition. |
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ASH: A Modern Framework for Parallel Spatial Hashing in 3D
Perception
Wei Dong, Yixing Lao, Michael Kaess, Vladlen Koltun TPAMI, 2022 code / paper A high-performance spatial hashing framework on GPU, demonstrating superior performance with fewer lines of code on various tasks such as volumetric reconstruction, non-rigid registration, and spatially varying appearance refinement. |
Software |
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CamTools: Camera Tools for Computer
Vision
project / code A collection of tools for handling cameras in computer vision. Plot, convert, project, ray cast, and do more with your cameras. A must-have for debugging NeRFs and 3D reconstruction. |
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Open3D: A Modern Library for 3D
Data Processing
project / code The leading open-source library for 3D processing with 400K+ monthly downloads from PyPI. Open3D exposes a set of carefully selected data structures and algorithms in both C++ and Python. |
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Check out the source code for this website.
Yep, it's yet another Jon Barron site.
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