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License: MIT License
BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimation
License: MIT License
Thank you very much for providing information about 360° Depth Estimation.
I want to get the movement trajectory of the camera in a continuous picture sequence. Can you provide the code for displaying the trajectory
i want to train the model using matterport3D, but i do not have the train.txt of the experiment .could you give me the trian.txt,thank you so much . my email is [email protected].
Hi,
Thank you for your work.
I am not able to reproduce it because of the missing dataset used for self-supervised learning. Could you please share a sample folder Structure on the PANOSUNCG dataset that was used for the self-supervised training like it was done for the supervised model?
We have contacted the authors to request the dataset but no answer.
If the dataset cannot be released, could you please provide the folder struct of the self-supervised data and their content?
i.e
SelfSupervisedData
scene1
train.txt
val.txt
sample1
sample2
.....
scene2
....
What is in the train.txt, val.txt and test.txt
thank you very much
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