diff --git a/README.md b/README.md index 228cb18a57b6a66230774652adfdc5b62d3a603a..4ee8cdabed406f1dae00d8564cb58e69e36503cc 100644 --- a/README.md +++ b/README.md @@ -93,7 +93,7 @@ Alternatively, download any NeRF-compatible scene (e.g. [from the NeRF authors' Now you can run: ```sh -instant-ngp$ ./build/testbed --scene data/nerf_synthetic/lego +instant-ngp$ ./build/testbed --scene data/nerf_synthetic/lego/transforms_train.json ``` For more information about preparing datasets for use with our NeRF implementation, please see [this document](docs/nerf_dataset_tips.md). @@ -160,7 +160,8 @@ If you cannot find it there, please feel free to [open an issue](https://github. ## Thanks -Many thanks to [Jonathan Tremblay](https://research.nvidia.com/person/jonathan-tremblay) and [Andrew Tao](https://developer.nvidia.com/blog/author/atao/) for testing early versions of this codebase and to Arman Toornias and Saurabh Jain for the factory robot dataset. +Many thanks to [Jonathan Tremblay](https://research.nvidia.com/person/jonathan-tremblay) and [Andrew Tao](https://developer.nvidia.com/blog/author/atao/) for testing early versions of this codebase and to Arman Toorians and Saurabh Jain for the factory robot dataset. +We also thank [Andrew Webb](https://github.com/grey-area) for noticing that one of the prime numbers in the spatial hash was not actually prime; this has been fixed since. This project makes use of a number of awesome open source libraries, including: * [tiny-cuda-nn](https://github.com/NVlabs/tiny-cuda-nn) for fast CUDA MLP networks diff --git a/docs/index.html b/docs/index.html index ddeaf7360f2f56b111cc9cb6258359e5450f59a8..7548dca1ba452d3ee82031d423c5e62b2440f17e 100644 --- a/docs/index.html +++ b/docs/index.html @@ -517,7 +517,7 @@ figure { <br/> <em>Lucy</em> model from the <a href="http://graphics.stanford.edu/data/3Dscanrep/">Stanford 3D scan repository</a> <br/> - <em>Factory robot</em> dataset by Arman Toornias and Saurabh Jain. + <em>Factory robot</em> dataset by Arman Toorians and Saurabh Jain. <br/> <em>Disney Cloud</em> model by Walt Disney Animation Studios. (<a href="https://media.disneyanimation.com/uploads/production/data_set_asset/6/asset/License_Cloud.pdf">CC BY-SA 3.0</a>) <br/>