Yu-Ying Yeh

According to our database, Yu-Ying Yeh authored at least 13 papers between 2018 and 2026.

Collaborative distances:

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

2026

Co-generation of Layout and Shape from Text via Autoregressive 3D Diffusion.

Zhenggang Tang, Yuehao Wang, Yuchen Fan, Jun-Kun Chen, Yu-Ying Yeh, Kihyuk Sohn, Zhangyang Wang, Qixing Huang, Alexander G. Schwing, Rakesh Ranjan, Dilin Wang, Zhicheng Yan

CoRR, April, 2026

2025

WorldGen: From Text to Traversable and Interactive 3D Worlds.

Dilin Wang, Hyunyoung Jung, Tom Monnier, Kihyuk Sohn, Chuhang Zou, Xiaoyu Xiang, Yu-Ying Yeh, Di Liu, Zixuan Huang, Thu Nguyen-Phuoc, Yuchen Fan, Sergiu Oprea, Ziyan Wang, Roman Shapovalov, Nikolaos Sarafianos, Thibault Groueix, Antoine Toisoul, Prithviraj Dhar, Xiao Chu, Minghao Chen, Geon Yeong Park, Mahima Gupta, Yassir Azziz, Rakesh Ranjan, Andrea Vedaldi

CoRR, November, 2025

Steepest Descent Density Control for Compact 3D Gaussian Splatting.

Peihao Wang, Yuehao Wang, Dilin Wang, Sreyas Mohan, Zhiwen Fan, Lemeng Wu, Ruisi Cai, Yu-Ying Yeh, Zhangyang Wang, Qiang Liu, Rakesh Ranjan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Photorealistic Digital Content Creation for Extended Reality from Sparse In-the-wild Images

Yu-Ying Yeh

PhD thesis, 2024

TextureDreamer: Image-Guided Texture Synthesis through Geometry-Aware Diffusion.

Yu-Ying Yeh, Jia-Bin Huang, Changil Kim, Lei Xiao, Thu Nguyen-Phuoc, Numair Khan, Cheng Zhang, Manmohan Chandraker, Carl S. Marshall, Zhao Dong, Zhengqin Li

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

2022

Learning to Relight Portrait Images via a Virtual Light Stage and Synthetic-to-Real Adaptation.

Yu-Ying Yeh, Koki Nagano, Sameh Khamis, Jan Kautz, Ming-Yu Liu, Ting-Chun Wang

ACM Trans. Graph., 2022

PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes.

Yu-Ying Yeh, Zhengqin Li, Yannick Hold-Geoffroy, Rui Zhu, Zexiang Xu, Milos Hasan, Kalyan Sunkavalli, Manmohan Chandraker

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets.

Zhengqin Li, Ting-Wei Yu, Shen Sang, Sarah Wang, Meng Song, Yuhan Liu, Yu-Ying Yeh, Rui Zhu, Nitesh B. Gundavarapu, Jia Shi, Sai Bi, Hong-Xing Yu, Zexiang Xu, Kalyan Sunkavalli, Milos Hasan, Ravi Ramamoorthi, Manmohan Chandraker

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Static2Dynamic: Video Inference From a Deep Glimpse.

Yu-Ying Yeh, Yen-Cheng Liu, Wei-Chen Chiu, Yu-Chiang Frank Wang

IEEE Trans. Emerg. Top. Comput. Intell., 2020

Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes.

Zhengqin Li, Yu-Ying Yeh, Manmohan Chandraker

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation.

Alexander H. Liu, Yen-Cheng Liu, Yu-Ying Yeh, Yu-Chiang Frank Wang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation.

Yen-Cheng Liu, Yu-Ying Yeh, Tzu-Chien Fu, Sheng-De Wang, Wei-Chen Chiu, Yu-Chiang Frank Wang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification.

Yu-Jhe Li, Fu-En Yang, Yen-Cheng Liu, Yu-Ying Yeh, Xiaofei Du, Yu-Chiang Frank Wang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018