PARE
Code for ICCV2021 paper PARE: Part Attention Regressor for 3D Human Body Estimation
Estimate the shape and pose of a human body from images, even when parts are hidden.
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 anytimeCode for ICCV2021 paper PARE: Part Attention Regressor for 3D Human Body Estimation
PARE has 416 stars on GitHub. It has been forked 73 times. PARE is written mainly in Python. It has been in active development since 2021. Its main topics are 3d-human-reconstruction, 3d-human-shape-and-pose-estimation, computer-graphics, computer-vision.
What is PARE?
Code for ICCV2021 paper PARE: Part Attention Regressor for 3D Human Body Estimation
Is PARE open source?
PARE is an open-source project.
Is PARE free?
Yes. PARE is free and open source — you can use, modify and self-host it.
What language is PARE written in?
PARE is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/mkocabas-pare.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.