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I actively do research on computer vision algorithms, and provide my own implementation or improvement to the existing code.
On top of that, I do vtuber to showcase and explain this technology. Here is my youtube channel (Chinese, sometimes English), where I post results of my implementation (not just reproduction of other repos) from time to time.

14 sponsors have funded kwea123’s work.

@kwea123

It will motivate me towards open source more code!

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Featured work

  1. kwea123/ngp_pl

    Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)

    Jupyter Notebook 1,224
  2. kwea123/nerf_pl

    NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

    Jupyter Notebook 2,647
  3. kwea123/VTuber_Unity

    Use Unity 3D character and Python deep learning algorithms to stream as a VTuber!

    Python 771
  4. kwea123/CasMVSNet_pl

    Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching using pytorch-lightning

    Jupyter Notebook 268
  5. kwea123/nsff_pl

    Neural Scene Flow Fields using pytorch-lightning, with potential improvements

    Jupyter Notebook 220
  6. kwea123/MINER_pl

    Unofficial implementation (replicates paper results!) of MINER: Multiscale Implicit Neural Representations in pytorch-lightning

    Jupyter Notebook 60

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Just a little cup of coffee to allow me to code 10 minutes more...

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You can ask me to debug a short code problem or provide some brief consultancy by email!