How to get the unseen category/scene result as section 4.2, 4.3 and How to train several classes together for generlization?

[dedoogong]

Hello! thanks for sharing your great art work! I wonder how to get the rendering result of the unseen category/scene. according to 4.3, it says "We train a single model on randomly selected 4 scenes, i.e., Chair, Mic, Ship, and Hotdog, ...." and I wonder how to train several classes in each image batch(like all Nerf Synthetic datasets together to get the generalized GRF model). I think there are configs which contain only one single class for each config text file. I guess, if a batch contains 4 classes and each class has 8 views, then the batch has 32 images in total. Or, a batch could contain 32 images of only one single class and it sequencially see all classes one by one.
Can you describe your train configuration for generalization in more detail?

Plus, If 2 views or 6 views are fed, only 2/6images are input? or corresponding poses are also required? or can you provide us all the required data for section 4.1~4.3 if possible(it must be the best for me to understand it clearly)?

Please give me some hint. ;)

Cheers!