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Bingxuan Li | 李秉轩
Hi! I am a second-year Computer Science Ph.D. candidate at NYU,
advised by
Prof. Qi Sun
in the
Immersive Computing Lab.
My research lies at the intersection of deep learning and computer graphics, with a focus on
efficient visual representations, 3D understanding, and controllable generation of visual content and motion.
My recent work spans physics-informed monocular depth estimation, Gaussian representations,
and motion generation.
Prior to NYU, I received my Bachelor's degree with honors from
Turing Class
,
Peking University
.
During my undergraduate years, I was honored to be advised by
Prof. Sheng Li and
Prof. Lingqi Yan.
Email  / 
Github  / 
CV  / 
LinkedIn  / 
WeChat  
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News
Research
* denotes equal contributions; † denotes corresponding authors.
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Frequency-Adaptive Gaussian Grids for Efficient Image Representation
Anatolii Evdokimov,
Stavros Diolatzis,
Bingxuan Li,
Akshay Jindal,
Patsorn Sangkloy,
Qi Sun
WACV 2027
We develop frequency-adaptive Gaussian grids for efficient image representation.
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Physically Grounded Monocular Depth via Nanophotonic Wavefront Encoding
Bingxuan Li*,
Jiahao Wu*, Yuan Xu*, Zezheng Zhu,
Yunxiang Zhang,
Kenneth Chen,
Yanqi Liang,
Nanfang Yu†,
Qi Sun†
Paper
ECCV 2026
We introduce a nanophotonic metalens that physically encodes metric depth into a single monocular image and adapt depth foundation models to recover accurate metric scale.
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Nano-Optics for Depth Sensing
Yuan Xu*,
Bingxuan Li*,
Jiahao Wu*,
Yunxiang Zhang,
Zezheng Zhu,
Nanfang Yu,
Qi Sun†
Paper
SIGGRAPH 2025 Emerging Technologies
We built a metasurface-based depth camera and a neural decoder for accurate monocular metric depth estimation. The system was demonstrated at SIGGRAPH 2025.
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Image-GS: Content-Adaptive Image Representation via 2D Gaussians
Yunxiang Zhang*,
Bingxuan Li*,
Alexandr Kuznetsov,
Akshay Jindal,
Stavros Diolatzis,
Kenneth Chen.
Anton Sochenov,
Anton Kaplanyan,
Qi Sun†
Paper /
Project /
Code
SIGGRAPH 2025
We present Image-GS, a content-adaptive neural image representation using anisotropic 2D Gaussians, offering high memory efficiency, fast random access, and flexible fidelity control for real-time graphics.
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Proxy Tracing: Unbiased Reciprocal Estimation for Optimized Sampling in BDPT
Fujia Su*,
Bingxuan Li*,
Qingyang Yin,
Yanchen Zhang,
Sheng Li†
Paper /
Project /
Code /
Video
ACM Transactions on Graphics (SIGGRAPH 2024)
We propose a novel sampling method to handle challenging specular/glossy paths in bidirectional path tracing (BDPT), significantly improving rendering efficiency while ensuring unbiasedness.
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Selected Projects
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EasyRender
We present EasyRender, a scalable, high-performance
ray tracing renderer built upon OptiX 8.0, featuring modular architecture,
support for pbrt-v3 scenes and Disney Principled Materials,
and implementations of advanced physically based rendering algorithms.
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ROMA on Mitsuba
This project explores the further applications of
ROMA
in rendering, implemented on Mitsuba 0.6.
We primarily focused on enhancing the performance of ray tracing using ROMA, a novel acceleration method.
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Services
Reviewer: SIGGRAPH Asia, TVCG, PG
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About Me
I enjoy reading, gaming, photography and other nerdy stuffs outside of work.
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This homepage is designed based on
Jon Barron
's website and deployed on Github Pages. Last updated: Aug. 19, 2026
© 2026 Bingxuan Li
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