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Thanks again to the authors for sharing their code.
Do you have any idea, besides 3DFront, where to find more indoor room layout to train the model? A simple motivation behind asking this question is that, more and better data surely means better quality of the model output.
As I have some experience in 3d reconstruction and neural rendering, I know reconstructing indoor scenes from rgb or rgbd sequences is problematic. For example, rgbd scenes might be synthesis and of low quality. And the number of frames in a sequence might not be enough to reconstruct a compete indoor scene.
I would be very happy if you are willing to discuss this.
The text was updated successfully, but these errors were encountered:
You would need a dataset with at least object localization, object labels, and floor plans.
I think Matterport3D provides all required data, but it only contains 90 building scenes, including a few non-residential scenes. I have also used HM3DSem for other projects. This is a larger and more recent dataset. It should have floor plans but I am pretty sure it does not contain room labels. You can probably annotate rooms yourself and use objects as heuristic to sort different types of rooms.
Thanks again to the authors for sharing their code.
Do you have any idea, besides 3DFront, where to find more indoor room layout to train the model? A simple motivation behind asking this question is that, more and better data surely means better quality of the model output.
As I have some experience in 3d reconstruction and neural rendering, I know reconstructing indoor scenes from rgb or rgbd sequences is problematic. For example, rgbd scenes might be synthesis and of low quality. And the number of frames in a sequence might not be enough to reconstruct a compete indoor scene.
I would be very happy if you are willing to discuss this.
The text was updated successfully, but these errors were encountered: