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@@ -9,8 +9,7 @@ First, we augment the [MERL dataset](https://www.merl.com/research/downloads/BRD
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  Next, we adopt neural fields as a low-dimensional, continuous representation for materials,
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  fitting them to individual materials in Aug-MERL to create a new dataset of neural material representations, Neural MERL (NeuMERL).
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- The dataset released here contains 2400 BRDFs. Please download it at `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.
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  ## Dataset formation
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  Next, we adopt neural fields as a low-dimensional, continuous representation for materials,
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  fitting them to individual materials in Aug-MERL to create a new dataset of neural material representations, Neural MERL (NeuMERL).
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+ 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.
 
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  ## Dataset formation
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