We present the 3D reconstructions for a varying number (1 to 5) of input images to SAP3D.
As shown, with more input images, the 3D reconstruction of SAP3D improves.
One input (Zere-1-to-3) |
Two inputs |
Three inputs |
Four inputs |
Five inputs |
+ | + | + | + | |
Results: |
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One input (Zere-1-to-3) |
Two inputs |
Three inputs |
Four inputs |
Five inputs |
+ | + | + | + | |
Results: |
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One input (Zere-1-to-3) |
Two inputs |
Three inputs |
Four inputs |
Five inputs |
+ | + | + | + | |
Results: |
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One input (Zere-1-to-3) |
Two inputs |
Three inputs |
Four inputs |
Five inputs |
+ | + | + | + | |
Results: |
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One input (Zere-1-to-3) |
Two inputs |
Three inputs |
Four inputs |
Five inputs |
+ | + | + | + | |
Results: |
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One input (Zere-1-to-3) |
Two inputs |
Three inputs |
Four inputs |
Five inputs |
+ | + | + | + | |
Results: |
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One input (Zere-1-to-3) |
Two inputs |
Three inputs |
Four inputs |
Five inputs |
+ | + | + | + | |
Results: |
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We present generated novel views for a varying number (1 to 5) of input images to SAP3D.
For each input set, we provide the novel views before and after the fine-tuning stage. We use stochastic conditioning in all the experiments.
Similarily to 3D reconstruction, with more input images, the novel view synthesis of SAP3D improves. Moreover, the adapation stage improves the consistency of the generations.
One input (Zere-1-to-3) |
Two inputs |
Three inputs |
Four inputs |
Five inputs |
+ |
+ |
+ |
+ |
|
SAP3D without adaptation: |
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SAP3D: |
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One input (Zere-1-to-3) |
Two inputs |
Three inputs |
Four inputs |
Five inputs |
+ |
+ |
+ |
+ |
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SAP3D without adaptation: |
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SAP3D: |
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One input (Zere-1-to-3) |
Two inputs |
Three inputs |
Four inputs |
Five inputs |
+ |
+ |
+ |
+ |
|
SAP3D without adaptation: |
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SAP3D: |
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One input (Zere-1-to-3) |
Two inputs |
Three inputs |
Four inputs |
Five inputs |
+ |
+ |
+ |
+ |
|
SAP3D without adaptation: |
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SAP3D: |
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One input (Zere-1-to-3) |
Two inputs |
Three inputs |
Four inputs |
Five inputs |
+ |
+ |
+ |
+ |
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SAP3D without adaptation: |
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SAP3D: |
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We evaluate the effects of:
1. Initial camera pose estimation: RelPose++ compared to our scaled version - "SAP3D without adaption"
2. Fine-tuning stage: SAP3D without adaption compared to SAP3D.
We compare performmance of 3D reconstruction and novel view synthesis, when 3 input images are provided.
Input images: | ||
RelPose++ |
SAP3D without adapation |
SAP3D |
Input images: | ||
RelPose++ |
SAP3D without adapation |
SAP3D |