Comments (1)
Hi! It seems that there could be an issue with your reconstruction setup, say the camera pose (we use OpenCV camera convention, and some data use Blender/OpenGL conventions). Usually, even if there's a failure in the actual 3D geometry, the result should still look close to the input at least from the given perspective.
- You can just use recons1v, these models are the same except for testing configuration.
- We have not rigorously tested the robustness against pose error, but from my experience it should be reasonably robust. I have a GUI demo under development, and for images in the wild I just align the camera pose manually in the GUI (may be released around the end of this year or), which is not accurate but the results are still good enough most of the time.
- If your camera has distortion, it would be better to rectify the image and obtain the correct intrinsics before feeding it to SSDNeRF. But again, sometimes you can set the intrinsics by manually tweaking the focal length and the model should be reasonably robust to this error.
- This is not an error, I just haven't suppressed these warnings yet.
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Related Issues (20)
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