I’m currently a PhD student in Prof. Angela Dai’s 3D AI Lab at TU Munich. My research focuses on data-driven 3D reconstruction and scene understanding. In particular, I’m interested in incorporating semantic or geometric priors into 3D reconstruction.

Previously, I was a research assistant working with Prof. Min Sun at National Tsing Hua University (NTHU). I received MSc and BSc degrees in Computer Science at National Taiwan University (NTU), where I worked on 3D point cloud understanding and robotic grasping with Prof. Winston Hsu.

Publications

Diff3R: Feed-forward 3D Gaussian Splatting with Uncertainty-aware Differentiable Optimization

Diff3R: Feed-forward 3D Gaussian Splatting with Uncertainty-aware Differentiable Optimization

Yueh-Cheng Liu, Jozef Hladký, Matthias Nießner, Angela Dai

arXiv, 2026

QuickSplat: Fast 3D Surface Reconstruction via Learned Gaussian Initialization

QuickSplat: Fast 3D Surface Reconstruction via Learned Gaussian Initialization

Yueh-Cheng Liu, Lukas Höllein, Matthias Nießner, Angela Dai

International Conference on Computer Vision (ICCV), 2025

ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes

ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes

Chandan Yeshwanth*, Yueh-Cheng Liu*, Matthias Nießner, Angela Dai

ICCV 2023 Oral

360-DFPE: Leveraging Monocular 360-Layouts for Direct Floor Plan Estimation

360-DFPE: Leveraging Monocular 360-Layouts for Direct Floor Plan Estimation

Bolivar Solarte*, Yueh-Cheng Liu*, Chin-Hsuan Wu, Yi-Hsuan Tsai, Min Sun

IEEE Robotics and Automation Letters (RA-L), 2022 Oral at ICRA 2023

Learning from 2D: Contrastive Pixel-to-Point Knowledge Transfer for 3D Pretraining

Yueh-Cheng Liu, Yu-Kai Huang, Hung-Yueh Chiang, Hung-Ting Su, Zhe-Yu Liu, Chin-Tang Chen, Ching-Yu Tseng, Winston H. Hsu

arXiv preprint, 2021

S3: Learnable Sparse Signal Superdensity for Guided Depth Estimation

Yu-Kai Huang, Yueh-Cheng Liu, Tsung-Han Wu, Hung-Ting Su, Yu-Cheng Chang, Tsung-Lin Tsou, Yu-An Wang, Winston H. Hsu

Conference on Computer Vision and Pattern Recognition (CVPR), 2021

A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp Detection

A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp Detection

Kuang-Yu Jeng, Yueh-Cheng Liu, Zhe Yu Liu, Jen-Wei Wang, Ya-Liang Chang, Hung-Ting Su, Winston Hsu

Conference on Robot Learning (CoRL), 2020

A Unified Point-based Framework for 3D Segmentation

Hung-Yueh Chiang, Yen-Liang Lin, Yueh-Cheng Liu, Winston H. Hsu

International Conference on 3D Vision (3DV), 2019

Teaching

  • Teaching Assistant. Network Administration and System Administration at National Taiwan University. Spring 2017

  • Teaching Assistant. Machine Learning for 3D Geometry at Techincal University of Munich. Winter 2023 - Summer 2026.

  • Teaching Assistant. Seminar for 3D Machine Learning at Techincal University of Munich. Summer 2026.

Misc