ShaderMotion VS MotionBERT

Compare ShaderMotion vs MotionBERT and see what are their differences.

MotionBERT

[ICCV 2023] PyTorch Implementation of "MotionBERT: A Unified Perspective on Learning Human Motion Representations" (by Walter0807)
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ShaderMotion MotionBERT
2 2
- 780
- -
- 5.2
- 4 months ago
Python
- Apache License 2.0
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.

ShaderMotion

Posts with mentions or reviews of ShaderMotion. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-08.
  • How to transmit custom signal to vrchat world (AI guided 3d keypoints)
    5 projects | /r/VRchat | 8 Feb 2023
    This only works for your own avatar though. If you want to make something that is displayed in a single world you can look into ShaderMotion, which is a system to bring humanoid poses into VRC worlds. The data is sent via a video feed (as blinking pixels) and a shader then reads out those pixels and "animates" the model accordingly.

MotionBERT

Posts with mentions or reviews of MotionBERT. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-08.

What are some alternatives?

When comparing ShaderMotion and MotionBERT you can also consider the following projects:

MotioNet - A deep neural network that directly reconstructs the motion of a 3D human skeleton from monocular video [ToG 2020]

UNet - Network system for VRChat UDON

OSCMotion

midi-websocket - Send midi through websockets

StyleDomain - Official Implementation for "StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One-shot and Few-shot Domain Adaptation" (ICCV 2023)