Ying-Tian Liu

20 papers A* 6Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
FACE: A Face-based Autoregressive Representation for High-Fidelity and Efficient Mesh Generation.
CoRR
Hanxiao Wang, Yuan-Chen Guo, Ying-Tian Liu, Zi-Xin Zou, Biao Zhang, Weize Quan, Ding Liang, Yan-Pei Cao, Dong-Ming Yan
2025 J jnl
Diffusion Models for 3D Generation: A Survey.
Comput. Vis. Media
Chen Wang, Hao-Yang Peng, Ying-Tian Liu, Jiatao Gu, Shi-Min Hu
2025 A* conf
OmniPart: Part-Aware 3D Generation with Semantic Decoupling and Structural Cohesion.
SIGGRAPH Asia
Yunhan Yang, Yufan Zhou, Yuan-Chen Guo, Zi-Xin Zou, Yukun Huang, Ying-Tian Liu, Hao Xu, Ding Liang, Yan-Pei Cao, Xihui Liu
2025 J jnl
OmniPart: Part-Aware 3D Generation with Semantic Decoupling and Structural Cohesion.
CoRR
Yunhan Yang, Yufan Zhou, Yuan-Chen Guo, Zi-Xin Zou, Yukun Huang, Ying-Tian Liu, Hao Xu, Ding Liang, Yan-Pei Cao, Xihui Liu
2024 A* conf
3D Gaussian Editing with A Single Image.
ACM Multimedia
Guan Luo, Tian-Xing Xu, Ying-Tian Liu, Xiaoxiong Fan, Fang-Lue Zhang, Song-Hai Zhang
2024 J jnl
3D Gaussian Editing with A Single Image.
CoRR
Guan Luo, Tian-Xing Xu, Ying-Tian Liu, Xiaoxiong Fan, Fang-Lue Zhang, Song-Hai Zhang
2024 A* conf
PI3D: Efficient Text-to-3D Generation with Pseudo-Image Diffusion.
CVPR
Ying-Tian Liu, Yuan-Chen Guo, Guan Luo, Heyi Sun, Wei Yin, Song-Hai Zhang
2024 A* conf
PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation.
AAAI
Yue-Jiang Dong, Yuan-Chen Guo, Ying-Tian Liu, Fang-Lue Zhang, Song-Hai Zhang
2024 J jnl
TEXGen: a Generative Diffusion Model for Mesh Textures.
CoRR
Xin Yu, Ze Yuan, Yuan-Chen Guo, Ying-Tian Liu, JianHui Liu, Yangguang Li, Yan-Pei Cao, Ding Liang, Xiaojuan Qi
2024 J jnl
TEXGen: a Generative Diffusion Model for Mesh Textures.
ACM Trans. Graph.
Xin Yu, Ze Yuan, Yuan-Chen Guo, Ying-Tian Liu, JianHui Liu, Yangguang Li, Yan-Pei Cao, Ding Liang, Xiaojuan Qi
2023 — conf
Color-Correlated Texture Synthesis for Hybrid Indoor Scenes.
CAD/Graphics
Yu He, Yi-Han Jin, Ying-Tian Liu, Baoli Lu, Ge Yu
2023 A* conf
DualVector: Unsupervised Vector Font Synthesis with Dual-Part Representation.
CVPR
Ying-Tian Liu, Zhifei Zhang, Yuan-Chen Guo, Matthew Fisher, Zhaowen Wang, Song-Hai Zhang
2023 J jnl
DualVector: Unsupervised Vector Font Synthesis with Dual-Part Representation.
CoRR
Ying-Tian Liu, Zhifei Zhang, Yuan-Chen Guo, Matthew Fisher, Zhaowen Wang, Song-Hai Zhang
2023 A* conf
Joint Implicit Neural Representation for High-fidelity and Compact Vector Fonts.
ICCV
Chia-Hao Chen, Ying-Tian Liu, Zhifei Zhang, Yuan-Chen Guo, Song-Hai Zhang
2023 J jnl
Learning Implicit Glyph Shape Representation.
IEEE Trans. Vis. Comput. Graph.
Ying-Tian Liu, Yuan-Chen Guo, Yi-Xiao Li, Chen Wang, Song-Hai Zhang
2023 J jnl
PI3D: Efficient Text-to-3D Generation with Pseudo-Image Diffusion.
CoRR
Ying-Tian Liu, Guan Luo, Heyi Sun, Wei Yin, Yuan-Chen Guo, Song-Hai Zhang
2023 J jnl
PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation.
CoRR
Yue-Jiang Dong, Yuan-Chen Guo, Ying-Tian Liu, Fang-Lue Zhang, Song-Hai Zhang
2022 J jnl
Context-Consistent Generation of Indoor Virtual Environments Based on Geometry Constraints.
IEEE Trans. Vis. Comput. Graph.
Yu He, Ying-Tian Liu, Yi-Han Jin, Song-Hai Zhang, Yu-Kun Lai, Shi-Min Hu
2021 J jnl
Enhancing Multi-Scale Implicit Learning in Image Super-Resolution with Integrated Positional Encoding.
CoRR
Ying-Tian Liu, Yuan-Chen Guo, Song-Hai Zhang
2021 J jnl
Learning Implicit Glyph Shape Representation.
CoRR
Ying-Tian Liu, Yuan-Chen Guo, Yi-Xiao Li, Chen Wang, Song-Hai Zhang