Open kcheng1021 opened 1 month ago
Thanks for your question and sorry for our late reply, there are quite a lot of traveling happened recently.
yes, we follow the RoDyNeRF since it's the closest baseline that does COLMAP-free dynamic rendering. And indeed they just use 11 frames to train and many following up works inherited such a setting, so we also use 11 frames for reporting the results.
hope this would be helpful.
Hi, thanks for your great work.
I notice that you follow roboust dynamic radiance field to split the nvidia dynamic datasets. But I found the data downloaded from roboust dynamic radiance field(https://github.com/facebookresearch/robust-dynrf) only contains 11 images for each scene. Is this true?
It seems different from the split from DynIbar (https://github.com/google/dynibar).