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View Code? Open in Web Editor NEWDeep Lighting Environment Map Estimation from Spherical Panoramas (CVPRW20)
Home Page: https://vcl3d.github.io/DeepPanoramaLighting/
Deep Lighting Environment Map Estimation from Spherical Panoramas (CVPRW20)
Home Page: https://vcl3d.github.io/DeepPanoramaLighting/
The paper mentioned that thanks to the use of distributed priors, the performance of the network has been greatly improved.
But the code does not have an implementation of Equation.10. The last layer of the illumination model is a fully connected layer, and the Equation.1 is not used.
Can you introduce the specific usage of Equation.10? Which part of the code does it work? Thank you!
hi , woluld you release the training code?
thanks
The link address for downloading the pre-trained model is incorrect.
Please check the link.
Hi !
I am trying to find codes to help me compute spherical harmonics Coeeficients from hdr panorama images(such as panoramas from LavalInDoor datasets). I have read your paper and code, and i think the function "getCoeeficientsMatrix(...)" in sh_functions.py can help me, but i haven't found how to set the image as a input in this function.
Can you tell me how to use sh_functions.py to compute spherical harmonics Coeeficients? Or if sh_functions.py couldn't do this, can anyone tell my which code can do this?
Thanks!
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