Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)
Estimate 3D human poses from images without needing special equipment or data during training.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeSelf-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)
EpipolarPose has 608 stars on GitHub. It has been forked 93 times. EpipolarPose is written mainly in Jupyter Notebook. It has been in active development since 2019. Its main topics are 3d-pose-estimation, computer-vision, cvpr, cvpr-2019.
Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)
EpipolarPose is an open-source project.
Yes. EpipolarPose is free and open source — you can use, modify and self-host it.
EpipolarPose is written mainly in Jupyter Notebook.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/mkocabas-epipolarpose.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.