Ying-Tian Liu

According to our database, Ying-Tian Liu authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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, Xiaojuan Qi

ACM Trans. Graph., December, 2024

3D Gaussian Editing with A Single Image.

Guan Luo, Tian-Xing Xu, Ying-Tian Liu, Xiaoxiong Fan, Fang-Lue Zhang, Song-Hai Zhang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

PI3D: Efficient Text-to-3D Generation with Pseudo-Image Diffusion.

Ying-Tian Liu, Yuan-Chen Guo, Guan Luo, Heyi Sun, Wei Yin, Song-Hai Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation.

Yue-Jiang Dong, Yuan-Chen Guo, Ying-Tian Liu, Fang-Lue Zhang, Song-Hai Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning Implicit Glyph Shape Representation.

Ying-Tian Liu, Yuan-Chen Guo, Yi-Xiao Li, Chen Wang, Song-Hai Zhang

IEEE Trans. Vis. Comput. Graph., October, 2023

Joint Implicit Neural Representation for High-fidelity and Compact Vector Fonts.

Chia-Hao Chen, Ying-Tian Liu, Zhifei Zhang, Yuan-Chen Guo, Song-Hai Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DualVector: Unsupervised Vector Font Synthesis with Dual-Part Representation.

Ying-Tian Liu, Zhifei Zhang, Yuan-Chen Guo, Matthew Fisher, Zhaowen Wang, Song-Hai Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Color-Correlated Texture Synthesis for Hybrid Indoor Scenes.

Yu He, Yi-Han Jin, Ying-Tian Liu, Baoli Lu, Ge Yu

Proceedings of the Computer-Aided Design and Computer Graphics, 2023

2022

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, Shi-Min Hu

IEEE Trans. Vis. Comput. Graph., 2022

2021

Enhancing Multi-Scale Implicit Learning in Image Super-Resolution with Integrated Positional Encoding.

Ying-Tian Liu, Yuan-Chen Guo, Song-Hai Zhang

CoRR, 2021