metaslam / 360fusionnerf Goto Github PK
View Code? Open in Web Editor NEW[IROS Submission] "360FusionNeRF: Panoramic Neural Radiance Fields with Joint Guidance" by Shreyas Kulkarni, Peng Yin, Sebastian Scherer.
[IROS Submission] "360FusionNeRF: Panoramic Neural Radiance Fields with Joint Guidance" by Shreyas Kulkarni, Peng Yin, Sebastian Scherer.
Hi, @shreyask3107 @maxtomCMU,
Thank you for sharing the code for your paper!
Currently I'm working on a similar project. I'm wondering is possible to share the 9 scenes you used in your paper Table 1 for benchmarking?
Thank you in advance!
Best,
Thank you for sharing the code for your paper!
I notice that all default config files set "use_gradient = True", which refers to another loss function not included in your paper.
I want to confirm whether the default configuration corresponding to the method proposed in your paper includes this loss function?
Do I have to manually set "use_gradient = False" to get the exact pipeline you proposed?
Hi, @shreyask3107 @maxtomCMU,
Thank you for sharing the code for your paper!
The generated depth map has all pixel values of 0 due to uint8(d1). Is this the intended behavior?
Thank you in advance!
Hi,
Thanks for sharing the 360FusionNerf implementation.
I was trying to run this repo and found that torchmetrics was missing from the requirements.txt. Can you please specify the version of torchmetrics that was used in the original implementation.
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