Update README.md

README.md

@@ -17,7 +17,7 @@ The dataset is stored in a numpy file, with all the MLP weights linearized in a
 
 - Input: Cartesian coordinate for positional samples (hx, hy, hz, dx, dy, dz).
 - Output: MERL reflectance value.
-- To convert it back to model weights `.pth`, update the example [example-brdf.pth](./example-brdf.pth).
+- To convert it back to model weights `.pth`, update the example [example-brdf.pth](./example-brdf.pth) (alum-bronze).
   - To then convert it back to MERL binary, load the model from `.pth` and record the inference results with all positional input.
   - For details, please refer to [Github](https://github.com/PeterHUistyping/NeuMaDiff) repo.