Upload README.md with huggingface_hub

README.md

@@ -33,26 +33,17 @@ Both subfolders contain a flat `config.json` + `model.safetensors`. SLAT + mesh/
 
 ## Usage
 
-Reconstruction:
-
-```python
-from affostruction import ReconstructionPipeline
-
-pipeline = ReconstructionPipeline.from_pretrained("chrockey/Affostruction").cuda()
-outputs = pipeline.run(input_dict)
-mesh = outputs["mesh"][0]
-gaussian = outputs["gaussian"][0]
-```
-
-Reconstruction + text-conditioned affordance heatmap:
-
 ```python
 from affostruction import AffostructionPipeline
 
 pipeline = AffostructionPipeline.from_pretrained("chrockey/Affostruction").cuda()
 outputs = pipeline.run(input_dict, queries=["grasp"])
+
+mesh   = outputs["mesh"][0]
 coords = outputs["coords"]                  # (N, 4) sparse voxel coords
-probs  = outputs["affordance"][0]["probs"]  # (N,) per-voxel heatmap in [0, 1]
+probs  = outputs["affordance"][0]["probs"]  # (N,) per-voxel heatmap in [0, 1] (paired with coords)
 ```
 
-See `examples/reconstruction.py` and `examples/affordance.py` in the [GitHub repo](https://github.com/chrockey/Affostruction).
+> **Reconstruction only:** drop `queries` to skip affordance, or pass `load_affordance=False` to `from_pretrained` to avoid downloading the affordance denoiser.
+
+See `examples/affordance.py` (full pipeline) and `examples/reconstruction.py` / `examples/reconstruction_unposed.py` (reconstruction-only) in the [GitHub repo](https://github.com/chrockey/Affostruction).