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README.md

@@ -43,10 +43,8 @@ coords = outputs["coords"]                  # (N, 4) sparse voxel coords
 probs  = outputs["affordance"][0]["probs"]  # (N,) per-voxel heatmap in [0, 1], paired with coords
 ```
 
-> **Need mesh / gaussian?** Pass `formats=["mesh", "gaussian"]` to `pipeline.run`. Decoding is opt-in so the default path avoids nvdiffrast / kaolin.
+> **Need mesh / gaussian?** Pass `formats=["mesh", "gaussian"]` — decoding is opt-in.
 >
-> **Reconstruction only?** Drop `queries` (or pass `load_affordance=False` to `from_pretrained`).
->
-> **Active view selection.** On by default in `"voxel"` mode (per-pixel raycast, decoder-free). Pass `view_selection_mode="mesh"` for the paper version (SLAT mesh decode + nvdiffrast), or `None` to skip. Candidate poses come from a dataset `transforms.json` (`view_selection_transforms_path=...`, Blender c2w → OpenCV w2c conversion baked in).
+> **Reconstruction only?** Drop `queries`.
 
 End-to-end examples in the [GitHub repo](https://github.com/chrockey/Affostruction): `examples/affostruction.py` (full pipeline), `examples/reconstruction.py` (reconstruction-only), and `examples/reconstruction_unposed.py` (experimental unposed single-view).