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Add rig-selection (human / Unitree G1 robot) to the playground
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metadata
title: ARDY Motion Playground
emoji: 🕺
colorFrom: gray
colorTo: purple
sdk: gradio
sdk_version: 6.20.0
app_file: app.py
short_description: Text-to-motion with an interactive 3D skeleton playground
python_version: '3.12'
startup_duration_timeout: 1h
pinned: false

ARDY Motion Playground

Interactive text-to-motion demo for ARDY (Autoregressive Diffusion with Hybrid Representation for Interactive Human Motion Generation, NVIDIA, SIGGRAPH 2026).

Pick a rig (human or robot), type a natural-language prompt, generate a 3D motion clip, then orbit, scrub, and play it in the built-in Three.js playground (play/pause, timeline scrubber, speed control, loop, and a root-trajectory trail).

  • Human rig: nvidia/ARDY-Core-RP-20FPS-Horizon40 — 27-joint "Core" skeleton at 20 fps.
  • Robot rig: nvidia/ARDY-G1-RP-25FPS-Horizon52 — 34-joint Unitree G1 humanoid robot at 25 fps (same rig as the sibling Space hugging-apps/ardy-g1-motion-generation).
  • Text encoder: LLM2Vec-Llama-3-8B (gated base weights pulled via the Space HF_TOKEN secret).
  • Hardware: ZeroGPU.

Post-processing (foot-skate cleanup, which needs a compiled C++ extension) is disabled in this demo; generation uses the model's autoregressive path directly.

Based on the nv-tlabs/ardy reference implementation (scripts/generate.py).