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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
                   
                  report
                  
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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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