kwea123
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
- Name: AI葵
- Location: Taipei
- Company: Luma AI
- Kind: user
- Followers: 2391
- Following: 52
- Total stars: 7591
- Repositories count: 59
- Created at: 2022-11-15T04:09:01.197Z
- Updated at: 2025-04-02T20:37:45.910Z
- Last synced at: 2025-04-02T20:37:45.910Z
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.
- Current Sponsors: 14
- Past Sponsors: 0
- Total Sponsors: 14
- Minimum Sponsorship: $1.00
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: 1279kwea123/nerf_pl
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
Language: Jupyter Notebook - Stars: 2783kwea123/VTuber_Unity
Use Unity 3D character and Python deep learning algorithms to stream as a VTuber!
Language: Python - Stars: 795kwea123/CasMVSNet_pl
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching using pytorch-lightning
Language: Jupyter Notebook - Stars: 289kwea123/nsff_pl
Neural Scene Flow Fields using pytorch-lightning, with potential improvements
Language: Jupyter Notebook - Stars: 224kwea123/MINER_pl
Unofficial implementation (replicates paper results!) of MINER: Multiscale Implicit Neural Representations in pytorch-lightning
Language: Jupyter Notebook - Stars: 61Active Sponsors
Past Sponsors
kyuna312
yzslab
biowar
chloe31st
naruya
austinxy
jiayaozhang
totoro97
taskswithcode
amarihana
Sponsor Breakdown
- User: 10