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NeRAF jointly learns acoustic and radiance fields, enabling realistic audio-visual generation.

Home Page: https://amandinebtto.github.io/NeRAF/

License: Other

Python 100.00%
acoustics audio implicit-neural-representation impulse-response neural-field neural-fields spatial-audio neural-acoustic-field

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neraf's Issues

split.json

If it's not too much trouble, could you please share the metadata_AudioNeRF/split.json file?

Thank you.

question about visual data

Hello,

First of all, thank you very much for sharing your code.

After reading your paper, it seems you used Habitat Sim to render higher resolution images of the scenes. However, I couldn't find the camera pose information for the training and testing splits.

Could you please share the pose information for each split of the visual data with json file?

Also, I wonder if NeRAF and AV-NeRF in the evaluation table used different visual data.

Thank you.

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