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chu-jiaming/README.md

About me

  • 🎓 M.S. in Electronic Information at Shanghai Jiao Tong University (2025–); B.Eng. in IntelliSense Engineering at Harbin Institute of Technology (2021–2025)
  • 🔬 Interested in generative models, large language models, 3D/4D reconstruction and world models
  • 🧭 Lately: how radiance fields behave when inputs are imperfect (e.g. noisy camera poses), and making evaluation metrics measure what they claim to
  • 🔭 Going forward: combining generative models with 3D/4D reconstruction
  • 🏆 ICM 2024 Honorable Mention · China Sensor Innovation Competition 2024, National 2nd Prize · Smart Car team captain @ HIT

Featured

Project Description
VGGT-Splat · page How many frames does a casual capture need, and when do feed-forward VGGT poses beat COLMAP for 3D Gaussian Splatting? 6 scenes, 8 to all frames.
PoseGuard-NeRF · page When does joint camera-pose optimization help NeRF, and when does it make the world drift? 45 controlled experiments.
AFVE-Bench · arXiv When a user asks for a rewrite under a new frame, does the old one still leak through? 192 bilingual four-turn conversations; 4,204 responses from 11 model configurations, blind-annotated by two raters.
qingzhou Code for the National University Students Intelligent Car Race (C++).
dotfiles My macOS development setup.

Tech stack

Languages
Python C++ C MATLAB LaTeX

ML & Vision
PyTorch OpenCV NumPy

3D Vision
COLMAP 3DGS NeRF

Tools
Linux ROS Git Conda uv

GitHub stats

GitAnimals


Pac-Man contribution graph

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  1. PoseGuard-NeRF PoseGuard-NeRF Public

    When does joint camera-pose optimization help NeRF, and when does it just move the world? A 45-run controlled study on Nerfstudio with a Sim(3) drift diagnostic.

    Python

  2. VGGT-Splat VGGT-Splat Public

    Casual phone video → VGGT → 3D Gaussian Splatting, without COLMAP

    Python 1