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Those are the areas that are occluded in the input images. If you look at the bushes, you can see that the front is clean while the back is a mess. Probably the

by yorwba 2mo ago

Those are the areas that are occluded in the input images. If you look at the bushes, you can see that the front is clean while the back is a mess. Probably the starting position could be chosen a bit better.

chrisjj 2mo ago
The path to left and right is occluded? By what?
- ChrisClark 2mo ago
  By not taking photos of it... what else? The data wasn't there, so it couldn't be generated Actually, this might be a lack of understanding, look up what gaussian splatting is.
  - chrisjj 2mo ago
    > By not taking photos of it... That's not occlusion.
    - ChrisClark 2mo ago
      lol, there can be more than one explanation, you're being purposely obtuse. Occlusion can block you from taking a photo. Not taking a photo can block you from taking a photo. Sometimes, there are two things that happen! Seriously, you'd understand if you actually bothered to look up what Gaussian Splatting is
ghostly_s 2mo ago
This raises the question, do any of these projects have workflows for combining images taken from different positions? Or does that just work out of the box? (I have no machines atm with anything better than 10yo eGPUs ;~<)
- jaccola 2mo ago
  Yes the whole field could more or less be described as combining images taken from different positions :)
  - ghostly_s 2mo ago
    As I understand the typical workflow starts with a stack of frames which have a small offset in position /orientation which the model is able to derive due to sufficient similarities to the adjacent frames; if I created three stacks like that which are internally self-similar but were taken from three viewpoints 20 meters apart, so perhaps only a small portion of the scene is common between them, could the model still orient them into a single scene? I suppose you could just capture the "transition" frames as you move your camera from one viewpoint to the next as well and then it would be treated as a single path?
- yorwba 2mo ago
  The article includes a visualization of the different positions that images were taken from: https://pxl-th.github.io/video/camera-frustum.mp4 https://pxl-th.github.io/video/camera-frustum.mp4 It's just that they're all bunched around the statue and the starting position for the rendering is a bit farther away, where there's direct line of sight to spots not covered by those images.

by yorwba 2mo ago

chrisjj 2mo ago

The path to left and right is occluded? By what?

ChrisClark 2mo ago
By not taking photos of it... what else? The data wasn't there, so it couldn't be generated Actually, this might be a lack of understanding, look up what gaussian splatting is.
- chrisjj 2mo ago
  > By not taking photos of it... That's not occlusion.
  - ChrisClark 2mo ago
    lol, there can be more than one explanation, you're being purposely obtuse. Occlusion can block you from taking a photo. Not taking a photo can block you from taking a photo. Sometimes, there are two things that happen! Seriously, you'd understand if you actually bothered to look up what Gaussian Splatting is

ghostly_s 2mo ago

This raises the question, do any of these projects have workflows for combining images taken from different positions? Or does that just work out of the box? (I have no machines atm with anything better than 10yo eGPUs ;~<)

jaccola 2mo ago
Yes the whole field could more or less be described as combining images taken from different positions :)
- ghostly_s 2mo ago
  As I understand the typical workflow starts with a stack of frames which have a small offset in position /orientation which the model is able to derive due to sufficient similarities to the adjacent frames; if I created three stacks like that which are internally self-similar but were taken from three viewpoints 20 meters apart, so perhaps only a small portion of the scene is common between them, could the model still orient them into a single scene? I suppose you could just capture the "transition" frames as you move your camera from one viewpoint to the next as well and then it would be treated as a single path?
yorwba 2mo ago
The article includes a visualization of the different positions that images were taken from: https://pxl-th.github.io/video/camera-frustum.mp4 https://pxl-th.github.io/video/camera-frustum.mp4 It's just that they're all bunched around the statue and the starting position for the rendering is a bit farther away, where there's direct line of sight to spots not covered by those images.