Comments (6)
Thank you for you attention.
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Given a LDR FOV image, we generate a HDR panorama. The HDR panorama is a HDR spherical image that provides lighting direction and HDR provides lighting intensity.
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Since our model uses GAN inversion, the size of FOV is not limited to a fixed size, see the framework. Given a FOV, we project it into a panorama, where black areas are invisible regions and visible pixels are from FOV. We then use GAN inversion to generate HDR panoramas.
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We use this paper, code to generate faces. When you have both HDR panorams and 3D faces, you can render the faces with blender app or blender script. I suggest this blender script.
from stylelight.
Thank you for you attention.
- Given a LDR FOV image, we generate a HDR panorama. The HDR panorama is a HDR spherical image that provides lighting direction and HDR provides lighting intensity.
- Since our model uses GAN inversion, the size of FOV is not limited to a fixed size, see the framework. Given a FOV, we project it into a panorama, where black areas are invisible regions and visible pixels are from FOV. We then use GAN inversion to generate HDR panoramas.
- We use this paper, code to generate faces. When you have both HDR panorams and 3D faces, you can render the faces with blender app or blender script. I suggest this blender script.
Thank you very much for your quick reply.
I am a green hand on light analysis.
Is there any python or c++ code (a link if possible) that I can use to calculate the light direction and intensity from an HDR panorama?
from stylelight.
Thank you for you attention.
- Given a LDR FOV image, we generate a HDR panorama. The HDR panorama is a HDR spherical image that provides lighting direction and HDR provides lighting intensity.
- Since our model uses GAN inversion, the size of FOV is not limited to a fixed size, see the framework. Given a FOV, we project it into a panorama, where black areas are invisible regions and visible pixels are from FOV. We then use GAN inversion to generate HDR panoramas.
- We use this paper, code to generate faces. When you have both HDR panorams and 3D faces, you can render the faces with blender app or blender script. I suggest this blender script.
Thank you very much for your quick reply. I am a green hand on light analysis. Is there any python or c++ code (a link if possible) that I can use to calculate the light direction and intensity from an HDR panorama?
Sorry, I am not quite sure if I understand your question. As far as I can see, HDR panorama can be directly regarded lighting direction and intensity. Consider an object which is place at the center of a panorama (sphere), each pixel of the panorama can be regarded as a lighting ray to the center. The pixel value is the intensity. Please let me know if I misunderstand your question.
from stylelight.
Thank you again for your kind reply. Here is the generated panoramas. I am just trying to understand these figures. For the panorama above, the three red circles are the predicted light sources, correct? For the second panorama, I can make a conclusion that the light from right is stronger than the light from left (I mean in terms of the input FOV image, the light source from right of the image is stronger). Am I right?Thank you for you attention.
- Given a LDR FOV image, we generate a HDR panorama. The HDR panorama is a HDR spherical image that provides lighting direction and HDR provides lighting intensity.
- Since our model uses GAN inversion, the size of FOV is not limited to a fixed size, see the framework. Given a FOV, we project it into a panorama, where black areas are invisible regions and visible pixels are from FOV. We then use GAN inversion to generate HDR panoramas.
- We use this paper, code to generate faces. When you have both HDR panorams and 3D faces, you can render the faces with blender app or blender script. I suggest this blender script.
Thank you very much for your quick reply. I am a green hand on light analysis. Is there any python or c++ code (a link if possible) that I can use to calculate the light direction and intensity from an HDR panorama?
Sorry, I am not quite sure if I understand your question. As far as I can see, HDR panorama can be directly regarded lighting direction and intensity. Consider an object which is place at the center of a panorama (sphere), each pixel of the panorama can be regarded as a lighting ray to the center. The pixel value is the intensity. Please let me know if I misunderstand your question.
from stylelight.
Thank you. 1) Sure, there are lighting sources. 2) That is right. In fact, since it is a panorama (sphere), the left and the right are stitched.
from stylelight.
Thank you. 1) Sure, there are lighting sources. 2) That is right. In fact, since it is a panorama (sphere), the left and the right are stitched.
Thank you very much for your kind reply.
from stylelight.
Related Issues (9)
- AttributeError: 'EnvironmentMap' object has no attribute 'Fov2MaskedPano' HOT 7
- Evaluating the pretrained model HOT 4
- training problem HOT 8
- The evaluation include Angular Error, RMSE, siRMSE and FID. HOT 6
- Is there a way to “normalize” the light condition for a group of images? HOT 3
- Where is the GT in Virtual Object Relighting (VOR) dataset for Qualitative Evaluation? HOT 2
- The light intensity of the HDR panorama needs to be multiplied by a coefficient to adjust, otherwise it will be too dark. HOT 2
- Evaluation give different score from the paper HOT 1
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