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How to run my own video? #9
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Hi @zhanghongyong123456 . There are several documentations to look into:
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Is possible to render from a custom dataset generated from monocular video? I understand quality may suffer depending on dataset. I am very excited about the potential here, thank you for all your work. |
Hi @aleatorydialogue , are you referring to monocular static or dynamic dataset? For static dataset, we have a complete guide on data preparation, model training and inference here. For monocular dynamic dataset, it indeed sounds like an interesting direction. Thus we're currently working on open-sourcing official support for deformable algorithms (like DyNeRF, NeRFies) as you can see by the deformation field entries in the default volumetric_video_network.py file. The full data preparation and model training pipeline will be open-sourced along the deformable model. We've already finalized the implementation and are currently working out kinks, so expect an update soon! |
awesome, appreciate the reply. Yes I am hoping to be able to do monocular dynamic datasets. For now, this will obviously limit quality and probably limit the novel views that are possible to infer, but I imagine over time we will have the ability to infer with less and less input. I look forward to the update, in the meantime i will work on your examples to get up to speed. Very promising project, thank you for open sourcing |
Just wanted to check back in here. Still very focused on dynamic monocular video, still haven't had too much success. Especially with regard to quality |
How can I use it on my own data
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