dynibar
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Implementation of DynIBaR Neural Dynamic Image-Based Rendering (CVPR 2023)
Thanks for sharing this great work! Can dynibar be trained on the short Nvidia dataset that NSFF used (24 frames), or [DynamicNeRF](https://github.com/gaochen315/DynamicNeRF) used (12 frames).
Hi, Given that I use my own depth predictions, is there a way to create `poses_bounds_cvd` table without running and training CVD? In particular, how are the 17 parameters constructed?...
I have run the eval_nvidia.py file and output the virtual views, but dont know how to get video which is similar to paper
Many congratulations on such an excellent article, I had some problems reproducing the results. I have experimented with the training weights you posted on the jumping dataset, but the final...
Why do monocular datasets use virtual images while nvidia datasets don't? What is the difference between these datasets? And we find that virtual images are crucial to the kid-running case,...
I noticed that in the girl in green clothes dataset, you render 74 moments from a fixed perspective. I reproduced the experiment and found that the time span in a...
Hello, I have been paying close attention to your new research, and thank you very much for the help your research has brought me. I have studied the nsff you...
Hello, thank you so much for making your work open source. I am trying to use other data from DAVIS. But the source virtual view created by render_source_vv.py is bad....
I set the N_rand to 384 and chunk_size to 512, to make sure it can run on my rtx3090. But the training process is very slow,is there any way to...
 I reproduced the dataset of the girl in green clothes. There are always some artifacts near girl's legs shown in above image. Could you please share your training config...