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README.md

@@ -1,92 +1,106 @@
----
-license: mit
----
-
-# Dataset content
-
-In the following folders you can find:
-- `blender` - our animations with scripts used to generate them
-- `configs` - configuration files used during the experimetns shown in our paper
-- `data` - contains NeRF Synthetic + Our Assets wit appriopriate `sparse_pc.ply` used for initialization of the system
-- `permuto_SDF_models` - meshes generated with [PermutoSDF](https://radualexandru.github.io/permuto_sdf/) that we have used for driving the Gaussians
-
-Dataset lacks the data for Mip-NeRF 360 dataset which can be downloaded from [here](https://jonbarron.info/mipnerf360/) and also fox which can be found [here](https://github.com/NVlabs/instant-ngp).  
-Additionally Mip-NeRF 360 shoud be processed with:
-``` bash
-# Do this for every dataset in the folder
-cd <dataset_folder>
-ns-process-data images --data . --output-dir . --skip-colmap --skip-image-processin --colmap-model-path sparse/0
-```
-
-# Bugs in nerfstudio 1.1.4
-
-There were a few bugs in nerfstudio we needed to fix in order to train on Mip-NeRF 360 dataset:
-
-File: nerfstudio/exporter/exporter_utils.py
-
-``` python
-# Lines 166-172
-
-# Change from:
-if crop_obb is not None:
-    mask = crop_obb.within(point)
-point = point[mask]
-rgb = rgb[mask]
-view_direction = view_direction[mask]
-if normal is not None:
-    normal = normal[mask]
-
-# To:
-if crop_obb is not None:
-    mask = crop_obb.within(point)
-    point = point[mask]
-    rgb = rgb[mask]
-    view_direction = view_direction[mask]
-    if normal is not None:
-        normal = normal[mask]
-
-```
-
-File: nerfstudio/model_components/ray_generators.py
-
-``` python
-# Lines 49-50
-
-# Change from:
-y = ray_indices[:, 1]  # row indices
-x = ray_indices[:, 2]  # col indices
-
-# To:
-y = torch.clamp(ray_indices[:, 1], 0, self.image_coords.shape[0] - 1)  # row indices
-x = torch.clamp(ray_indices[:, 2], 0, self.image_coords.shape[1] - 1)  # col indices
-
-```
-
-File: nerfstudio/utils/eval_utils.py
-
-``` python
-# Line 62
-
-# Change from:
-loaded_state = torch.load(load_path, map_location="cpu")
-
-# To:
-loaded_state = torch.load(load_path, map_location="cpu", weights_only=False)
-
-```
-
-## 📄 Citation
-
-If you use our data, please cite:
-
-```bibtex
-@misc{zielinski2025genie,
-  title     = {GENIE: Gaussian Encoding for Neural Radiance Fields Interactive Editing},
-  author    = {Miko\l{}aj Zieli\'{n}ski and Krzysztof Byrski and Tomasz Szczepanik and Przemys\l{}aw Spurek},
-  year      = {2025},
-  eprint    = {2508.02831},
-  archivePrefix = {arXiv},
-  primaryClass  = {cs.CV},
-  url       = {https://arxiv.org/abs/2508.02831}
-}
+---
+license: mit
+task_categories:
+- image-to-3d
+---
+
+# GENIE Dataset
+
+This repository contains the data and assets used in the paper [GENIE: Gaussian Encoding for Neural Radiance Fields Interactive Editing](https://huggingface.co/papers/2508.02831), which introduces a hybrid model for interactive editing of Neural Radiance Fields.
+
+Project page: [https://mikolajzielinski.github.io/genie.github.io/](https://mikolajzielinski.github.io/genie.github.io/)
+
+Code: [https://github.com/MikolajZ/GENIE](https://github.com/MikolajZ/GENIE)
+
+<p align="center">
+  <img src="https://mikolajzielinski.github.io/genie.github.io/images/teaser.png" alt="GENIE Teaser Image" width="400"/>
+</p>
+
+# Dataset content
+
+In the following folders you can find:
+- `blender` - our animations with scripts used to generate them
+- `configs` - configuration files used during the experimetns shown in our paper
+- `data` - contains NeRF Synthetic + Our Assets wit appriopriate `sparse_pc.ply` used for initialization of the system
+- `permuto_SDF_models` - meshes generated with [PermutoSDF](https://radualexandru.github.io/permuto_sdf/) that we have used for driving the Gaussians
+
+Dataset lacks the data for Mip-NeRF 360 dataset which can be downloaded from [here](https://jonbarron.info/mipnerf360/) and also fox which can be found [here](https://github.com/NVlabs/instant-ngp).  
+Additionally Mip-NeRF 360 shoud be processed with:
+``` bash
+# Do this for every dataset in the folder
+cd <dataset_folder>
+ns-process-data images --data . --output-dir . --skip-colmap --skip-image-processin --colmap-model-path sparse/0
+```
+
+# Bugs in nerfstudio 1.1.4
+
+There were a few bugs in nerfstudio we needed to fix in order to train on Mip-NeRF 360 dataset:
+
+File: nerfstudio/exporter/exporter_utils.py
+
+``` python
+# Lines 166-172
+
+# Change from:
+if crop_obb is not None:
+    mask = crop_obb.within(point)
+point = point[mask]
+rgb = rgb[mask]
+view_direction = view_direction[mask]
+if normal is not None:
+    normal = normal[mask]
+
+# To:
+if crop_obb is not None:
+    mask = crop_obb.within(point)
+    point = point[mask]
+    rgb = rgb[mask]
+    view_direction = view_direction[mask]
+    if normal is not None:
+        normal = normal[mask]
+
+```
+
+File: nerfstudio/model_components/ray_generators.py
+
+``` python
+# Lines 49-50
+
+# Change from:
+y = ray_indices[:, 1]  # row indices
+x = ray_indices[:, 2]  # col indices
+
+# To:
+y = torch.clamp(ray_indices[:, 1], 0, self.image_coords.shape[0] - 1)  # row indices
+x = torch.clamp(ray_indices[:, 2], 0, self.image_coords.shape[1] - 1)  # col indices
+
+```
+
+File: nerfstudio/utils/eval_utils.py
+
+``` python
+# Line 62
+
+# Change from:
+loaded_state = torch.load(load_path, map_location="cpu")
+
+# To:
+loaded_state = torch.load(load_path, map_location="cpu", weights_only=False)
+
+```
+
+## 📄 Citation
+
+If you use our data, please cite:
+
+```bibtex
+@misc{zielinski2025genie,
+  title     = {GENIE: Gaussian Encoding for Neural Radiance Fields Interactive Editing},
+  author    = {Miko\l{}aj Zieli\'{n}ski and Krzysztof Byrski and Tomasz Szczepanik and Przemys\l{}aw Spurek},
+  year      = {2025},
+  eprint    = {2508.02831},
+  archivePrefix = {arXiv},
+  primaryClass  = {cs.CV},
+  url       = {https://arxiv.org/abs/2508.02831}
+}
 ```