publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2025

  1. ICCV 2025
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    NeuFrameQ: Neural Frame Fields for Scalable and Generalizable Anisotropic Quadrangulation
    Ying-Tian Liu, Jiajun Li, Yu-Tao Liu, Xin Yu, Yuan-Chen Guo, Yan-Pei Cao, Ding Liang, Ariel Shamir, and Song-Hai Zhang
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
  2. CVM
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    Diffusion models for 3D generation: A survey
    Chen Wang, Hao-Yang Peng, Ying-Tian Liu, Jiatao Gu, and Shi-Min Hu
    Computational Visual Media, 2025
  3. SIGGRAPH Asia 2025
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    LegoACE: Autoregressive Construction Engine for Expressive LEGO\textregistered Assemblies
    Hao Xu, Yuqing Zhang, Yiqian Wu, Xinyang Zheng, Yutao Liu, Xiangjun Tang, Yunhan Yang, Ding Liang, Yingtian Liu, Yuanchen Guo, Yan-Pei Cao, and Xiaogang Jin
    In Proceedings of the SIGGRAPH Asia 2025 Conference Papers, 2025
  4. SIGGRAPH Asia 2025
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    Omnipart: Part-aware 3d generation with semantic decoupling and structural cohesion
    Yunhan Yang, Yufan Zhou, Yuan-Chen Guo, Zi-Xin Zou, Yukun Huang, Ying-Tian Liu, Hao Xu, Ding Liang, Yan-Pei Cao, and Xihui Liu
    In Proceedings of the SIGGRAPH Asia 2025 Conference Papers, 2025

2024

  1. CVPR 2024
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    Pi3d: Efficient text-to-3d generation with pseudo-image diffusion
    Ying-Tian Liu, Yuan-Chen Guo, Guan Luo, Heyi Sun, Wei Yin, and Song-Hai Zhang
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
  2. ACM TOG
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    TEXGen: a Generative Diffusion Model for Mesh Textures
    Xin Yu, Ze Yuan, Yuan-Chen Guo, Ying-Tian Liu, Jianhui Liu, Yangguang Li, Yan-Pei Cao, Ding Liang, and Xiaojuan Qi
    ACM Transactions on Graphics (TOG), 2024
  3. AAAI 2024
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    Ppea-depth: Progressive parameter-efficient adaptation for self-supervised monocular depth estimation
    Yue-Jiang Dong, Yuan-Chen Guo, Ying-Tian Liu, Fang-Lue Zhang, and Song-Hai Zhang
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2024
  4. ACM MM 2024
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    3d gaussian editing with a single image
    Guan Luo, Tian-Xing Xu, Ying-Tian Liu, Xiao-Xiong Fan, Fang-Lue Zhang, and Song-Hai Zhang
    In Proceedings of the 32nd ACM International Conference on Multimedia, 2024

2023

  1. CVPR 2023
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    Dualvector: Unsupervised vector font synthesis with dual-part representation
    Ying-Tian Liu, Zhifei Zhang, Yuan-Chen Guo, Matthew Fisher, Zhaowen Wang, and Song-Hai Zhang
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
  2. Open Source Project
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    threestudio: A unified framework for 3d content generation
    Yuan-Chen Guo, Ying-Tian Liu, Ruizhi Shao, Christian Laforte, Vikram Voleti, Guan Luo, Chia-Hao Chen, Zi-Xin Zou, Chen Wang, Yan-Pei Cao, and others
    2023
  3. ICCV 2023
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    Joint implicit neural representation for high-fidelity and compact vector fonts
    Chia-Hao Chen, Ying-Tian Liu, Zhifei Zhang, Yuan-Chen Guo, and Song-Hai Zhang
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

  1. TVCG
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    Learning implicit glyph shape representation
    Ying-Tian Liu, Yuan-Chen Guo, Yi-Xiao Li, Chen Wang, and Song-Hai Zhang
    IEEE Transactions on Visualization and Computer Graphics, 2022

2021

  1. arXiv
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    Enhancing multi-scale implicit learning in image super-resolution with integrated positional encoding
    Ying-Tian Liu, Yuan-Chen Guo, and Song-Hai Zhang
    arXiv preprint arXiv:2112.05756, 2021
  2. TVCG
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    Context-consistent generation of indoor virtual environments based on geometry constraints
    Yu He, Ying-Tian Liu, Yi-Han Jin, Song-Hai Zhang, Yu-Kun Lai, and Shi-Min Hu
    IEEE Transactions on Visualization and Computer Graphics, 2021

2020

  1. ISMAR 2020
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    Scale-aware insertion of virtual objects in monocular videos
    Songhai Zhang, Xiangli Li, Yingtian Liu, and Hongbo Fu
    In 2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2020