Panwang Pan

I am currently employed as a Researcher and Developer at Pico Architecture Group within ByteDance Ltd. Previously, I held the position of Senior Algorithm Engineer at Alibaba Cloud, where I specialized in 3D Face Reconstruction and 6DoF Pose Estimation.

In 2019, I earned my Master's degree from Xiamen University, where I was enrolled in the School of Informatics.

My research interests primarily lie at the intersection of Efficient Deep Learning (Quantization & Reparameterization) and 3D Computer Vision (Vision and depth sensor-based 3D reconstruction, understanding and manipulation).

Looking for self-motivated research interns for publishing top-tier papers. Feel free to drop me an email if you are interested in the topics above.

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We present a Pose-Free framework for Generalizable Rendering Transformer. This framework eliminates the need for pre-computed camera poses and is able to render novel views in a feed-forward pass under unseen scenes.

By discretizing the pose search range using multiple pose bins and progressively narrowing the pose search range in each stage using predictions from the previous stage, Cas6D can overcome the large gap between pose candidates and ground truth poses, which is a common failure mode in sparse-view scenarios.

We introduce Promptable Object Pose Estimator (POPE), a zero-shot framework for estimating the 6DoF pose of objects in any target image, leveraging a single reference such as a cropped image or a sketch.

StegaNeRF achieves reliable recovery of hidden information with minimal impact on the NeRF rendering quality. This work offers a promising outlook on ownership identification in NeRF and calls for more attention and effort on related problems.

2019, Outstanding Graduates of Xiamen University

2018, National Scholarship for Postgraduates

2018, First Prize of GEDC, Second Prize of MCM & CPIPC

2017, ZhongXian Huang Scholarship of Xiamen University

2015, National Scholarship for Undergraduates