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Xiangyue Liu I'm a second-year Ph.D. student at HKUST advised by Prof. Ping Tan. Before that, I was a visiting student (RA) at Tsinghua University advised by Prof. Li Yi and Prof. Yang Gao. I am a member of AnySyn3D, a research interest group focusing on various topics related to 3D. My research mainly concentrates on 3D vision and graphics. I currently work on reconstruction, generation, and editing of digital avatars. Early interests include visual SLAM and MVS. Google Scholar · Github · Twitter · Email · WeChat |
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Xiangyue Liu, Kunming Luo, Heng Li, Qi Zhang, Yuan Liu, Li Yi, Ping Tan We introduce GaussianAvatar-Editor, an innovative framework for text-driven editing of animatable Gaussian head avatars that can be fully controlled in expression, pose, and viewpoint. |
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Xiangyue Liu, Han Xue, Kunming Luo, Ping Tan, Li Yi We present GenN2N, a unified NeRF-to-NeRF translation framework for various NeRF translation tasks such as text-driven NeRF editing, colorization, super-resolution, inpainting, etc. GenN2N achieves all these NeRF editing tasks by employing a plug-and-play image-to-image translator to perform editing in the 2D domain and lifting 2D edits into the 3D NeRF space. |
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Xiangyue Liu, Weixin Xu, Shuchang Zhou, Li Yi, Yang Gao Under review Project |
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Wentao Yuan, Qingtian Zhu, Xiangyue Liu, Yikang Ding, Haotian Zhang, Chi Zhang We propose a training paradigm for Implicit Neural Representations (INRs) that encode image derivatives in addition to image values in the neural network. |
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Yikang Ding, Qingtian Zhu, Xiangyue Liu, Wentao Yuan, Haotian Zhang, Chi Zhang We propose a novel self-supervised training pipeline for MVS based on knowledge distillation, termed KD-MVS, which mainly consists of self-supervised teacher training and distillation-based student training. |
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Yikang Ding*, Wentao Yuan*, Qingtian Zhu, Haotian Zhang, Xiangyue Liu, Yuanjiang Wang, Xiao Liu We analogize MVS back to its nature of a feature matching task and therefore propose a powerful Feature Matching Transformer to leverage self- and cross- attention to aggregate long-range context information within and across images. |
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Yijia He*, Xiangyue Liu*, Xiao Liu, Ji Zhao Straight line features have been increasingly utilized in visual SLAM and 3D reconstruction systems. The straight lines’ parameterization, parallel constraint, and coplanar constraint are studied in many recent works. In this paper, we explore the novel intersection constraint of straight lines for structure reconstruction. |
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Last updated: 12th Nov., 2024 |