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This codebase contains a re-implementation of Nerfies using [JAX](https://github.com/google/jax),
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This codebase implements HyperNeRF using [JAX](https://github.com/google/jax),
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building on [JaxNeRF](https://github.com/google-research/google-research/tree/master/jaxnerf).
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We have been careful to match implementation details and have reproduced the original
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results presented in the paper.
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## Demo
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We provide an easy-to-get-started demo using Google Colab!
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These Colabs will allow you to train a basic version of our method using
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Cloud TPUs (or GPUs) on Google Colab.
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Note that due to limited compute resources available, these are not the fully
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featured models and will train quite slowly and the quality will likely not be that great.
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If you would like to train a fully featured model, please refer to the instructions below
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on how to train on your own machine.
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| Description | Link |
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| ----------- | ----------- |
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| Process a video into a dataset|[](https://colab.research.google.com/github/google/nerfies/blob/main/notebooks/Nerfies_Capture_Processing.ipynb)|
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| Train HyperNeRF|[](https://colab.research.google.com/github/google/hypernerf/blob/main/notebooks/HyperNeRF_Training.ipynb)|
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| Render HyperNeRF Videos|[](https://colab.research.google.com/github/google/hypernerf/blob/main/notebooks/HyperNeRF_Render_Video.ipynb)|
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