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Research
My research interests lie in generative modeling and their applications to computer vision and physical intelligence.
I aim to develop new paradigms for generative models and build data-driven systems that are physically grounded, capable of capturing the underlying 3D structure and dynamics of the real world.
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Temporal Score Rescaling for Temperature Sampling in Diffusion and Flow Models
Yanbo Xu*, Yu Wu* , Sungjae Park, Zhizhuo Zhou, Shubham Tulsiani
Preprint, 2025
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Diverse Score Distillation
Yanbo Xu, Jayanth Srinivasa, Gaowen Liu, Shubham Tulsiani
Preprint, 2024
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FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models
Hao Zhang*, Yanbo Xu*, Tianyuan Dai*, Yu-Wing Tai, Chi-Keung Tang
Neural Information Processing Systems (NeurIPS), 2023
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TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing
Yanbo Xu*, Yueqin Yin*,Liming Jiang, Qianyi Wu, Chengyao Zheng, Chen Change Loy, Bo Dai, Wayne Wu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
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Semi-Supervised Monocular 3D Object Detection by Multi-View Consistency
Qing Lian, Yanbo Xu, Weilong Yao, Yingcong Chen, Tong Zhang
European Conference on Computer Vision (ECCV), 2022
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Differentiable Rendering for Local Parameters
Yanbo Xu, CMU Physical-Based Rendering course project
2024
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Learning Dexterous Robot Policy from Human Video Demonstration via 3D Point Tracks
CMU Robot Learning course project
2024
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Princeton University, Princeton, NJ, USA
2025 – Present
Ph.D. in Computer Science
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Carnegie Mellon University, Pittsburgh, PA, USA
2023 – 2025
Master of Science in Robotics (MSR)
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Hong Kong University of Science and Technology, Hong Kong SAR, China
2018 – 2023
B.Sc. in Computer Science and Mathematics (First Class Honours)
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Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland
2022
Exchange Student in Computer Science
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Elsewhere
Outside the lab, I enjoy playing guitar and badminton.
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