MoMask - Generative Masked Modeling of 3D Human Motions

MoMask is a novel masked modeling framework for text-driven 3D human motion generation, utilizing a hierarchical quantization scheme to represent human motion as multi-layer discrete motion tokens with high-fidelity details.
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MoMask - Generative Masked Modeling of 3D Human Motions

Product Information

Key Features of MoMask - Generative Masked Modeling of 3D Human Motions

MoMask utilizes a hierarchical quantization scheme to represent human motion as multi-layer discrete motion tokens with high-fidelity details, outperforming state-of-art methods on the text-to-motion generation task.

Hierarchical Quantization Scheme

Represents human motion as multi-layer discrete motion tokens with high-fidelity details.

Masked Transformer

Predicts randomly masked motion tokens conditioned on text input at training stage.

Residual Transformer

Learns to progressively predict the next-layer tokens based on the results from current layer.

Text-Driven Motion Generation

Generates 3D human motions based on text input, leveraging the hierarchical quantization scheme.

Temporal Inpainting

Inpaints specific regions within existing motion clips, conditioned on a textual description.

Use Cases of MoMask - Generative Masked Modeling of 3D Human Motions

  • Text-driven 3D human motion generation

  • Temporal inpainting of motion clips

  • Motion generation for animation and video games

  • Human-computer interaction and robotics

Pros and Cons of MoMask - Generative Masked Modeling of 3D Human Motions

Pros

  • Outperforms state-of-art methods on the text-to-motion generation task
  • Generates high-fidelity motion representation
  • Can be applied to related tasks without further model fine-tuning

Cons

  • May require significant computational resources
  • Limited to specific domains or applications

How to Use MoMask - Generative Masked Modeling of 3D Human Motions

  1. 1

    Use MoMask for text-driven 3D human motion generation

  2. 2

    Apply MoMask to related tasks such as temporal inpainting

  3. 3

    Fine-tune MoMask for specific domains or applications

MoMask - Generative Masked Modeling of 3D Human Motions