Deepcurrents: Learning Implicit Representations Of Shapes With Boundaries (cvpr 2022)
Synopsis
Webpage: https://dsmirnov.me/deep-currents/ Code: https://github.com/dmsm/DeepCurrents David Palmer*, Dmitriy Smirnov*, ...
You Might Also Like
![[CVPR 2022 Oral] Robust Equivariant Imaging](https://i.ytimg.com/vi/27iWnWEbQvA/hq720.jpg?sqp=-oaymwE2CNAFEJQDSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARglIFYocjAP&rs=AOn4CLBHSSqtUMhP_cfTBYU2HYFUEOdDHA)
![[CVPR 2022 Oral] MaGNet](https://i.ytimg.com/vi/LM113ibJVmQ/hq720.jpg?sqp=-oaymwE2CNAFEJQDSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARhlIGUoZTAP&rs=AOn4CLA_sNJDFCrvCBRtz0QrEP1QFokGnw)
![[CVPR 2022 Oral] BokehMe: When Neural Rendering Meets Classical Rendering](https://i.ytimg.com/vi/e-zr_wCxNc8/hq720.jpg?sqp=-oaymwEcCNAFEJQDSFXyq4qpAw4IARUAAIhCGAFwAcABBg==&rs=AOn4CLCkSvr-mw-z-SdSO5WRw8Yi-BHu9A)
![[CVPR 2023] Towards Unbiased Volume Rendering of Neural Implicit Surfaces With Geometry Priors](https://i.ytimg.com/vi/nH4kobACnBw/hqdefault.jpg?sqp=-oaymwE2COADEI4CSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARgtIFUocjAP&rs=AOn4CLBbllhcoh2vznpG2KFWXHCB9D4HnA)
Download Options
Choose a download method below. All links open in new tabs.
| Service | Features | Action |
|---|---|---|
| Ssvid |
MP4 & MP3 • HD Quality • Browser Extension Available
|
Download |
| SaveFrom |
MP4 & MP3 • HD Quality • Browser Extension Available
|
Download |
Security Notice: These are third-party services. We recommend using antivirus software and being cautious of pop-up ads.