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Ctrl-World-Graph

This directory is a lightweight graph-conditioned fork scaffold for Ctrl-World.

Goals:

  • Keep the original /workspace/Ctrl-World repo untouched.
  • Reuse the original diffusion backbone and pipeline where possible.
  • Add a new graph-conditioning path built with PyTorch Geometric.

The first implementation target is:

  1. Encode each future graph frame with a PyG spatial encoder.
  2. Compress variable-length node embeddings into a fixed number of graph tokens.
  3. Model graph-token evolution over time.
  4. Feed those graph tokens into the original Ctrl-World UNet as encoder_hidden_states, replacing the original action condition.

The code here is intentionally organized as a separate package so we can iterate without modifying the original repository.