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T2M-GPT
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T2M-GPT

(CVPR 2023) Pytorch implementation of “T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations”

by Mael-zys · GitHub
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gptmotion-generationvq-vaeApache-2.0Python
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Generate human motion animations from text descriptions using a model built with PyTorch.

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770769
2026-07-202026-08-31
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(CVPR 2023) Pytorch implementation of “T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations”

T2M-GPT has 769 stars on GitHub. It has been forked 66 times. T2M-GPT is written mainly in Python. It has been in active development since 2023. T2M-GPT is available under the Apache-2.0 license. Its main topics are gpt, motion-generation, vq-vae.

Frequently asked questions

What is T2M-GPT?

(CVPR 2023) Pytorch implementation of “T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations”

Is T2M-GPT open source?

T2M-GPT is an open-source project. It is released under the Apache-2.0 license.

Is T2M-GPT free?

Yes. T2M-GPT is free and open source — you can use, modify and self-host it.

What license does T2M-GPT use?

T2M-GPT is available under the Apache-2.0 license.

What language is T2M-GPT written in?

T2M-GPT is written mainly in Python.

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