# Qonvolution: Towards Learning of High-Frequency Signals with Queried Convolutions

Novel view reconstructions for conventional 3D Gaussian Splatting (3DGS) (left) and our proposed method with adding QNN (right) with SfM initializations on the Mip-NeRF 360 dataset. Our method of adding QNN, faithfully reconstructs the scene providing higher quality renderings. Slide the handles to compare the baseline 3DGS vs. proposed 3DGS+QNN rendering.

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3DGS
3DGS+QNN

Scene 1. Bicycle

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3DGS
3DGS+QNN

Scene 2. Stump

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3DGS
3DGS+QNN

Scene 3. Garden

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3DGS
3DGS+QNN

Scene 4. Bonsai

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3DGS
3DGS+QNN

Scene 5. Counter

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3DGS
3DGS+QNN

Scene 6. Kitchen

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3DGS
3DGS+QNN

Scene 7. Room

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3DGS
3DGS+QNN

Scene 8. Flowers

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3DGS
3DGS+QNN

Scene 9. Treehill