Wenbo Ji   嵇jī / yí文博

I am a third-year master's student in Electrical Engineering and Information Technology at the Technical University of Munich.

I am doing research internship with Jiapeng Tang and Prof. Matthias Nießner at TUM Visual Computing Group.

I was working as a working student at ImFusion with Mert Asim Karaoglu, Dr. Benjamin Busam, Prof. Nassir Navab.

I was a master's student of TUM-CVG, TUM-DI-LAB working with Prof. Daniel Cremers, Dr. Yan Xia, Dr. Chuanxia Zheng and Weirong Chen.

I did a research internship at Zhejiang University under the supervision of Prof. Yiyi Liao.

I obtained my Master's degree in Computer Science from the Tongji University.

I did my B.Sc. in Information and Computing Science at Nanjing Tech University.

中文 / English / Deutsch

I'm looking for 27Fall PHD position.

• [10/2025] Our paper CSG-Fusion received the 🏆 Best Paper Award at the ICCV 2025 Workshop E2E3D!


• [08/2025] Our paper CSG-Fusion is accepted by ICCV 2025 Workshop E2E3D.


• [07/2025] I graduated from Tongji University with a Master's degree in Computer Science! 🎓


• [06/2025] Our paper LiteTracker is accepted by MICCAI 2025.


• [01/2025] Our paper Re0 is accepted by ICRA 2025.

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[08/2024] I will join Imfusion as a working student on the topic of Dense Video Point Tracking.


[01/2024] I will join TUM-CVG, TUM-DI-LAB under the co-supervision of Dr. Yan Xia and Dr. Chuanxia Zheng.


[05/2023] I will join Technische University München in the winter semester 23/24 as a Master student in Electrical Engineering, see you in München🍻!

Thoughts on research, 3D, video generation, and the occasional in-between.

My research interests focus on moving beyond isolated visual subproblems toward integrated models of virtual humans and 3D scenes that can perceive, generate, and reason about interaction in dynamic environments.

Long-term Tracking 3D/4D Reconstruction Scene Decomposition Video Generation Avatar Animation Human Scene Interaction

* equal contribution, † corresponding author

ICCV Workshop E2E3D, 2025 Best Paper Award

A feed-forward framework that mindfully integrates pixel-aligned pointmap to reduce redundant primitives and produce compact and consistent 3D structures.

MICCAI, 2025

A low-latency method for tissue online tracking in endoscopic video streams, introduces a set of training-free runtime optimizations on a state-of-the-art long-term point tracking method.

ICRA, 2025

Given 3D point clouds and multi-view RGB-D images with poses, Re0 leverages the 3D geometric information, projection relationships and CLIP semantic features for 3D zero-shot instance segmentation.

Given stereo endoscopic videos of deformable tissues, this thesis proposes a 4D deformable half-Gaussian splatting framework with depth-prior initialization, temporal–spatial encoding, and lightweight Gaussian pruning for high-fidelity, real-time surgical scene reconstruction.

Some of my 3D artwork and renders created with Blender.