Lixin Xue

I am a PhD student at ETH Zürich, supervised by Prof. Otmar Hilliges and Prof. Dimitris Tzionas. My research interests mainly lie in computer vision and computer graphics, especially in the intersection of digital humans and neural fields.

Previously, I completed my master's degree at ETH Zürich. During my master, I did my thesis on neural faces in the Digital Humans Group at DisneyResearch|Studio, supervised by Dr. Paulo Gotardo and Dr. Derek Bradley. Prior to ETH, I did my bachelor's at Beihang University. I was lucky to work with Prof. Hao Su at UCSD and Dr. Zhirong Wu at Microsoft Research Asia.

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Publications
HSR: Holistic 3D Human-Scene Reconstruction from Monocular Videos
Lixin Xue, Chen Guo, Chengwei Zheng, Fangjinghua Wang, Tianjian Jiang, Hsuan-I Ho, Manuel Kaufmann, Jie Song, Otmar Hilliges
ECCV 2024
project page / paper / video / code (coming soon) / data

HSR jointly reconstructs dynamic humans and static scenes from monocular RGB videos.

Learning Locally Editable Virtual Humans
Hsuan-I Ho, Lixin Xue, Jie Song, Otmar Hilliges
CVPR 2023
project page / paper / video / code / data

We introduce a novel hybrid representation and end-to-end trainable network architecture to model fully editable and customizable neural avatars.

Projects
Disambiguation in Strucutre-from-Motion
Supervised by Paul‑Edouard Sarlin, Mihai Dusmanu, and Prof. Marc Pollefeys
Semester Project in Computer Vision and Geometry Group
code

Make COLMAP more robust to duplicated structures by filtering out wrong matches based on several state-of-the-art algorithms.

Fixed Radius Nearest Neighbor Search
Supervised by Dr. Yifan Wang, Prof. Cengiz Oztireli, and Prof. Olga Sorkine-Hornung
Semester Project in Interactive Geometry Lab
code / slides

A fixed radius nearest neighbors search implemented on CUDA with a similar interface as pytorch3d.ops.knn_points with more than an order of magnitude speedup.

Road Segmentation on Aerial Images
Lixin Xue, Yu Fei, Hongjie Chen, Shengze Jin
Course Project in Computational Intelligence Lab 2020
report / code / review

Design a direction-based kernel for post-processing the network predictions to improve performance with limited data.

Sparse-to-dense Feature-metric Camera Localization
Lixin Xue, Zimeng Jiang, Le Chen
Course Project in 3D Vision 2020
report / code

Achieve better localization accuracy on multiple datasets via a feature-metric loss optimized by LM algorithm.



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