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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 kwea123โs work.
Featured work
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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 1,241 -
kwea123/nerf_pl
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
Jupyter Notebook 2,689 -
kwea123/VTuber_Unity
Use Unity 3D character and Python deep learning algorithms to stream as a VTuber!
Python 781 -
kwea123/CasMVSNet_pl
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching using pytorch-lightning
Jupyter Notebook 271 -
kwea123/nsff_pl
Neural Scene Flow Fields using pytorch-lightning, with potential improvements
Jupyter Notebook 222 -
kwea123/MINER_pl
Unofficial implementation (replicates paper results!) of MINER: Multiscale Implicit Neural Representations in pytorch-lightning
Jupyter Notebook 60
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