Update README.md

README.md

@@ -11,6 +11,10 @@ fitting them to individual materials in Aug-MERL to create a new dataset of neur
 
 The dataset released here contains 2400 BRDFs. Please download it at [./NeuMERL-2400.npy](./NeuMERL-2400.npy), with Pytorch weights of shape (2400, 675). You could also download it separately at `NeuMERL(24*100)/mlp_weights_all_{i}.npy`, with i from 1 to 24.
 
+[./NeuMERL(24*100)/mlp_weights_all_{i}.npy](./NeuMERL(24*100)/).
+
+![img-visual](./img/visual.png)
+
 ## Dataset formation
 
 To form the AugMERL dataset, we first augment the original MERL dataset with color channel permutation. The first group materials (1-600) are all without interpolation. Then, we augment the BRDFs via direct linear interpolation, forming three groups of materials (601-1200, 1201-1800, 1801-2400), where each group follows the same color channel permutation as the first group.