Update README.md

README.md

@@ -1,3 +1,68 @@
----
-license: bsd
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+---
+license: bsd
+---
+# NeuMERL
+
+The Augmented Neural MERL (NeuMERL) dataset adopted in the paper [NeuMaDiff: Neural Material Synthesis via Hyperdiffusion](https://arxiv.org/abs/2411.12015).
+
+First, we augment the [MERL dataset](https://www.merl.com/research/downloads/BRDF) through RGB permutation and direct or PCA interpolation, generating the Augmented MERL (AugMERL) dataset (Sec. 3.1).
+Next, we adopt neural fields as a low-dimensional, continuous representation for materials,
+fitting them to individual materials in Aug-MERL to create a new dataset of neural material representations, Neural MERL (NeuMERL).
+
+## Dataset formation
+
+The dataset released here contains 2400 BRDFs. The formation is described as follows:
+
+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.
+
+The AugMERL dataset is then used to train the neural fields, forming the NeuMERL dataset.
+
+## Color channel permutation
+
+Color channel permutation: RGB (1-100), RBG (101-200), GRB (201-300), GBR (301-400), BRG (401-500), GRB (501-600).
+
+```
+rgb_type = file_index % 6
+if rgb_type == 1:
+    brdf = brdf[..., [0, 1, 2]]  # merl_1
+elif rgb_type == 2:
+    brdf = brdf[..., [0, 2, 1]]  # merl_2
+elif rgb_type == 3:
+    brdf = brdf[..., [1, 0, 2]]  # merl_3
+elif rgb_type == 4:
+    brdf = brdf[..., [1, 2, 0]]  # merl_4
+elif rgb_type == 5:
+    brdf = brdf[..., [2, 0, 1]]  # merl_5
+elif rgb_type == 0:
+    brdf = brdf[..., [2, 1, 0]]  # merl_6
+return brdf
+```
+
+## BRDF interpolation
+
+Please refer to `interpolate_interpolation_{i}.txt`, each line is in the format of
+
+```
+MERL_BRDF1_name MERL_BRDF2_name \alpha 
+```
+
+, where $\alpha \in [0.3, 0.7]$ is the linear interpolation coefficient, outputting the interpolated BRDF
+
+$$
+f^{*}_r = \alpha \times f^{1}_r + (1-\alpha) \times f^{2}_r
+$$
+
+## Citation
+
+```
+@misc{
+       NeuMaDiff2024,
+      title={NeuMaDiff: Neural Material Synthesis via Hyperdiffusion}, 
+      author={Chenliang Zhou and Zheyuan Hu and Alejandro Sztrajman and Yancheng Cai and Yaru Liu and Cengiz Oztireli},
+      year={2024},
+      eprint={2411.12015},
+      archivePrefix={arXiv},
+      primaryClass={cs.GR},
+      url={https://arxiv.org/abs/2411.12015}, 
+}
+```