| | --- |
| | license: other |
| | tags: |
| | - android |
| | - neural-graphics |
| | - gaming |
| | - graphics |
| | language: |
| | - en |
| | size_categories: |
| | - n<1K |
| | --- |
| | |
| | # Neural Graphics Dataset |
| |
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| |  |
| |
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| | A collection of reference images and image sequences along with the corresponding motion, depth and other data required to train, validate and test neural super sampling algorithms. |
| |
|
| | ## Dataset Details |
| |
|
| | ### Dataset Description |
| |
|
| | The current version of the dataset includes a limited set of data for Neural Super Sampling (see [NSS model](https://huggingface.co/Arm/neural-super-sampling) for more detail). The main purpose is to demonstrate how the [NSS model development flow](https://github.com/arm/neural-graphics-model-gym) works. It is not designed to provide a comprehensive dataset for complete model (re)training. Future releases of the [Neural Graphics Model Gym](https://github.com/arm/neural-graphics-model-gym) will provide tools to capture and convert content for use in model training and retraining. |
| |
|
| | - **Curated by:** Arm Limited |
| | - **License:** [Arm_AI_Model_Community_License](https://huggingface.co/datasets/Arm/neural-graphics-dataset/blob/main/Arm_AI_Model_Community_License_v1_0_PRE-1154.pdf) |
| |
|
| | ### Dataset Sources |
| |
|
| | The dataset was captured from [Amazon Lumberyard Bistro](http://developer.nvidia.com/orca/amazon-lumberyard-bistro) scene implemented in [Unreal® Engine](https://www.unrealengine.com/) |
| | - **Original asset location:** [Morgan McGuire, Computer Graphics Archive, July 2017](https://casual-effects.com/g3d/data10/research/model/bistro/Exterior.zip) |
| |
|
| | ## Dataset Structure |
| |
|
| | The dataset is in a shape of [Safetensors](https://huggingface.co/docs/safetensors/en/index) files for training, validataion and testing: |
| |
|
| | ``` |
| | neural-graphics-dataset / |
| | ├── test/ # test set |
| | ├── train/ # training set |
| | └── val/ # validation set |
| | ``` |
| |
|
| | Each Safetensor file contains the following data for training Neural Super Sampling: |
| |
|
| | - `colour_linear` - low resolution color data in linear format |
| | - `ground_truth_linear` - high resolution color data in linear format |
| | - `depth` - per-pixel depth data |
| | - `depth_params` - additional depth parameters |
| | - `motion_lr` - low resolution motion vectors |
| | - `motion` - high resolution motion vectors |
| | - `exposure` - exposure values |
| | - `jitter` - jitter vector |
| | - `render_size` - low resolution image shape |
| | - `zNear` - camera near plane values |
| | - `zFar` - camera far plane values |
| |
|
| | ## Bias, Risks, and Limitations |
| |
|
| | The training set contains a limited number of frames to be used as training data. It is intended for use with [NSS tutorials](https://github.com/arm/neural-graphics-model-gym-examples) and experimentation with the [NSS algorithm](https://github.com/arm/neural-graphics-model-gym). |
| |
|
| |
|
| | ## More Information |
| |
|
| | A pre-trained Neural Super Sampling model can be accessed from the [NSS model card](https://huggingface.co/Arm/neural-super-sampling) |
| |
|
| | ## License |
| |
|
| | The Neural Graphics Dataset is released under [Arm AI Model Community License](https://huggingface.co/datasets/Arm/neural-graphics-dataset/blob/main/Arm_AI_Model_Community_License_v1_0_PRE-1154.pdf) |
| |
|
| | ## Trademark notice |
| |
|
| | Arm® is a registered trademarks of Arm Limited (or its subsidiaries) in the US and/or elsewhere. |
| |
|
| | Unreal, Unreal Engine, and the Unreal Engine logo are trademarks or registered trademarks of Epic Games, Inc. in the USA and elsewhere. |
