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MotionGPT-2 advances human motion generation with language models

By PulseAugur Editorial · [2 sources] ·

Researchers have developed MotionGPT-2, a large motion-language model designed to generate and understand human movements from text descriptions. This model integrates multimodal inputs like text and poses into a unified prompt system, enabling it to handle various motion-related tasks. MotionGPT-2 utilizes a novel motion discretization framework to ensure fine-grained control over body and hand movements, demonstrating effectiveness in generation, captioning, and completion tasks. AI

IMPACT These models advance the state-of-the-art in generating realistic human motion from text, with potential applications in animation, gaming, and virtual reality.

RANK_REASON The cluster contains two academic papers detailing new models for motion generation.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

MotionGPT-2 advances human motion generation with language models

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0 / 100
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Research
The cluster contains two academic papers detailing new models for motion generation.
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2 independent sources
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paper, model release
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High
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84 days old
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COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · Yuan Wang, Di Huang, Yaqi Zhang, Wanli Ouyang, Jile Jiao, Xuetao Feng, Dan Xu, Shixiang Tang ·

    MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding

    arXiv:2410.21747v2 Announce Type: replace Abstract: Generating lifelike human motions from descriptive texts has experienced remarkable research focus in the recent years, propelled by the emerging requirements of digital humans.Despite impressive advances, existing approaches ar…

  2. arXiv cs.CV TIER_1 English(EN) · Taeryung Lee, Fabien Baradel, Thomas Lucas, Kyoung Mu Lee, Gregory Rogez ·

    T2LM: Long-Term 3D Human Motion Generation from Multiple Sentences

    arXiv:2406.00636v2 Announce Type: replace Abstract: In this paper, we address the challenging problem of long-term 3D human motion generation. Specifically, we aim to generate a long sequence of smoothly connected actions from a stream of multiple sentences (i.e., paragraph). Pre…

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