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.

3DGS
3DGS+QNN

Scene 1. Bicycle



3DGS
3DGS+QNN

Scene 2. Stump



3DGS
3DGS+QNN

Scene 3. Garden



3DGS
3DGS+QNN

Scene 4. Bonsai



3DGS
3DGS+QNN

Scene 5. Counter



3DGS
3DGS+QNN

Scene 6. Kitchen



3DGS
3DGS+QNN

Scene 7. Room



3DGS
3DGS+QNN

Scene 8. Flowers



3DGS
3DGS+QNN

Scene 9. Treehill