README.md

metadata

title: MoMask
emoji: 🎭
colorFrom: pink
colorTo: purple
sdk: gradio
sdk_version: 6.1.0
app_file: app_new.py
pinned: false
python_version: '3.10'
short_description: Text-to-3D motion generation using ONNX models

MoMask: Text-to-Motion Generation

Generate 3D human skeleton animations from text descriptions using MoMask.

Features

• Text-to-motion generation with classifier-free guidance
• Download BVH files for Blender import
• ~7 seconds of motion per generation

Model Architecture (ONNX FP32, ~416MB total)

Model	Size	Purpose
CLIP Text Encoder	254MB	Text embedding
Mask Transformer	56MB	Initial motion tokens
Residual Transformer	55MB	Refine motion details
VQ-VAE Decoder	46MB	Decode to motion
Length Estimator	0.5MB	Predict motion length

Usage

1. Enter a text description (e.g., "A person walks forward")
2. Optionally set duration and seed
3. Click Generate
4. Download MP4 video or BVH for Blender

Credits

Based on MoMask by Chuan Guo et al.