Update README.md

README.md

@@ -11,13 +11,32 @@ Alternatively, please download them separately (for i from 1 to 24) at [./NeuMER
 
 ![img-visual](./img/visual.png)
 
+## Usage
+
+The dataset is stored in a numpy file, with all the MLP weights linearized in a single array. For NBRDF MLP architecture use, please refer to [./nbrdf-release.py](./nbrdf-release.py)
+
+- 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 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.
+
+```
+fc1.weight       (21, 6)
+fc1.bias         (21,)
+fc2.weight       (21, 21)
+fc2.bias         (21,)
+fc3.weight       (3, 21)
+fc3.bias         (3,)
+```
+
 ## Dataset formation
 
 To form the AugMERL dataset, we first augment the original [MERL dataset](https://www.merl.com/research/downloads/BRDF) 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 ([Sec 3.1](https://arxiv.org/abs/2411.12015)).
 
 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).
 
-## Color channel permutation
+### Color channel permutation
 
 Color channel permutation: RGB (1-100), RBG (101-200), GRB (201-300), GBR (301-400), BRG (401-500), GRB (501-600), similarly afterwards.
 
@@ -32,9 +51,15 @@ elif rgb_type == 5: brdf = brdf[..., [2, 0, 1]]  # merl_5
 elif rgb_type == 0: brdf = brdf[..., [2, 1, 0]]  # merl_6
 ```
 
-## BRDF interpolation
+### BRDF interpolation
+
+For material from 601 to 2400, we interpolate the BRDFs of two materials from the original MERL dataset, forming a new BRDF.
 
-Please refer to `interpolate/interpolate_interpolation_{i}.txt`, each line is in the format of
+- For 601-1200, i=0;
+- For 1201-1800, i=1;
+- For 1801-2400, i=2.
+
+Please refer to [./interpolate/interpolate_interpolation_{i}.txt](https://huggingface.co/datasets/Peter2023HuggingFace/NeuMERL/tree/main/interpolate), each line is in the format of
 
 ```
 MERL_BRDF1_name MERL_BRDF2_name \alpha 
@@ -48,15 +73,17 @@ $$
 
 ## Citation
 
+If you found the paper or base model useful, please consider citing,
+
 ```
 @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}, 
+    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}, 
 }
 ```