VideoPose3D VS PoseFormer

Compare VideoPose3D vs PoseFormer and see what are their differences.

VideoPose3D

Efficient 3D human pose estimation in video using 2D keypoint trajectories (by facebookresearch)

PoseFormer

The project is an official implementation of our paper "3D Human Pose Estimation with Spatial and Temporal Transformers". (by zczcwh)
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VideoPose3D PoseFormer
6 6
3,435 470
- -
0.0 3.1
over 1 year ago 6 months ago
Python Python
GNU General Public License v3.0 or later -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

VideoPose3D

Posts with mentions or reviews of VideoPose3D. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-25.

PoseFormer

Posts with mentions or reviews of PoseFormer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-17.

What are some alternatives?

When comparing VideoPose3D and PoseFormer you can also consider the following projects:

realtime-2D-to-3D-faces - Reconstructing real-time 3D faces from 2D images using deep learning.

3DMPPE_POSENET_RELEASE - Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019

pifuhd - High-Resolution 3D Human Digitization from A Single Image.