sponsors

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kwea123

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AI R&D in computer vision. Doing VTuber about DL algorithms. Check my channel! If you find my works helpful, please consider sponsoring! 我有在做VTuber,歡迎訂閱我的頻道!

Funding Links: https://github.com/sponsors/kwea123

GitHub Sponsors Profile

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.

Featured Works

kwea123/ngp_pl

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

Language: Jupyter Notebook - Stars: 1264
kwea123/nerf_pl

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

Language: Jupyter Notebook - Stars: 2738
kwea123/VTuber_Unity

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

Language: Python - Stars: 788
kwea123/CasMVSNet_pl

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

Language: Jupyter Notebook - Stars: 280
kwea123/nsff_pl

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

Language: Jupyter Notebook - Stars: 224
kwea123/MINER_pl

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

Language: Jupyter Notebook - Stars: 60

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