LHM_Runtime

Maintained By
DyrusQZ

LHM_Runtime

PropertyValue
AuthorDyrusQZ
PaperarXiv:2503.10625
Model Repositoryhttps://huggingface.co/DyrusQZ/LHM_Runtime

What is LHM_Runtime?

LHM_Runtime is an innovative AI model designed for rapid animatable 3D human reconstruction from single images. It represents a significant advancement in the field of 3D human modeling, capable of generating detailed, animatable 3D models in mere seconds from a single input image.

Implementation Details

The model employs a feed-forward architecture trained on a large-scale video dataset using image reconstruction loss. This approach enables robust generalization across diverse real-world scenarios, making it particularly effective for practical applications.

  • Feed-forward architecture for rapid processing
  • Training on comprehensive video dataset
  • Image reconstruction loss optimization
  • Efficient single-image processing pipeline

Core Capabilities

  • Single-image to 3D human model conversion
  • Rapid processing (seconds per image)
  • Animatable output models
  • Strong generalization to real-world scenarios
  • High-quality 3D reconstruction

Frequently Asked Questions

Q: What makes this model unique?

LHM_Runtime stands out for its ability to generate animatable 3D human models from single images in seconds, combining speed with quality in a way that was previously challenging in the field. The model's feed-forward architecture and training on video data enables robust real-world performance.

Q: What are the recommended use cases?

The model is particularly suited for applications requiring quick 3D human model generation, such as virtual try-on, gaming character creation, virtual reality applications, and rapid prototyping in animation pipelines.

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