Jincheng Xiong

Jincheng Xiong (熊锦程)

I am a master's student in Computer Science and Technology at the State Key Laboratory of CAD&CG, Zhejiang University, advised by Prof. Weiwei Xu. My research focuses on geometric reconstruction. I am also an algorithm intern at Alibaba Amap CV Lab, where I work on world-oriented reconstruction and generative foundation models.

I received my Bachelor's degree in Computer Science and Technology from the School of Computer Science, Wuhan University, ranking first in my major (1/198). Since my freshman year, I have conducted research at the CAPTAIN Lab, advised by Prof. Gui-Song Xia, focusing on cross-view generative models.

JinchengXiong@zju.edu.cn/ Google Scholar/ Github

News

2025-06Our NeST-Splatting is accepted by ICCV 2025 🎉!

2024-06I graduated from the School of Computer Science at Wuhan University.

2023-10I am admitted to the College of Computer Science and Technology at Zhejiang University.

2023-07Our Sat2Density is accepted by ICCV 2023 🎉!

Research

My current research interests revolve around the intersection of computer graphics, computer vision, spatial intelligence and generative AI.

Neural Shell Texture Splatting: More Details and Fewer Primitives
Xin Zhang, Anpei Chen, Jincheng Xiong, Pinxuan Dai, Yujun Shen, Weiwei Xu,
ICCV, 2025
project page / arXiv

We decouple the geometry and texture of 2DGS, representing the appearance with a global neural texture while using 2DGS as a geometric sampler. This approach reconstructs richer texture details while effectively reducing the number of primitives.

Sat2Density: Faithful Density Learning from Satellite-Ground Image Pairs
Ming Qian, Jincheng Xiong, Gui-Song Xia, Nan Xue,
ICCV, 2023
project page / arXiv

This paper aims to develop an accurate 3D geometry representation of satellite images using satellite-ground image pairs. Our focus is on the challenging problem of generating ground-view panoramas from satellite images.

Honors

Outstanding Graduate of Wuhan University2024
Postgraduate Recommendation of Wuhan University (1/198)2023
Jun Lei Scholarship, Xiaomi Inc.2023
Outstanding Student of Wuhan University2021, 2023
First/Second Class Scholarship of Wuhan University2021, 2022, 2023