Update README.md

README.md

@@ -16,6 +16,8 @@ size_categories:
 
 # HeadsNet
 
+The basic concept is to train a FNN/MLP on vertex data of 3D heads so that it can then re-produce random 3D heads.
+
 This dataset uses the [thispersondoesnotexist_to_triposr_6748_3D_Heads](https://huggingface.co/datasets/tfnn/thispersondoesnotexist_to_triposr_6748_3D_Heads) dataset as a foundation.
 
 The heads dataset was collecting using the scraper [Dataset_Scraper.7z](https://huggingface.co/datasets/tfnn/HeadsNet/resolve/main/Dataset_Scraper.7z?download=true) based on [TripoSR](https://github.com/VAST-AI-Research/TripoSR) with [this marching cubes improvement](https://github.com/VAST-AI-Research/TripoSR/issues/22#issuecomment-2010318709) by [thatname/zephyr](https://github.com/thatname) which converts the 2D images from [ThisPersonDoesNotExist](https://thispersondoesnotexist.com/) to 3D meshes.
@@ -94,4 +96,4 @@ The basic premise of how this network is trained and thus how the dataset is gen
 * 1st input parameter = random seed
 * 2nd input parameter = icosphere index
 
-More about this network topology can be read here: https://gist.github.com/mrbid/1eacdd9d9239b2d324a3fa88591ff852
+More about this type of network topology can be read here: https://gist.github.com/mrbid/1eacdd9d9239b2d324a3fa88591ff852