Search Results for author:
Found 4 papers, 2 papers with code
C3N：Content-Constrained Convolutional Network for Mural Image Completion
Our network also uses dual-domain partial convolution with a mask for computing on only valid points, whereas the mask is updated for the next layer.
Cross-domain heterogeneous residual network for single image super-resolution
Single image super-resolution is an ill-posed problem, whose purpose is to acquire a high-resolution image from its degraded observation.
A relic sketch extraction framework based on detail-aware hierarchical deep network
For the fine extraction stage, we design a new multiscale U-Net (MSU-Net) to effectively remove disease noise and refine the sketch.
Weighted Motion Averaging for the Registration of Multi-View Range Scans
With the overlapping percentage available, it views the overlapping percentage as the corresponding weight of each scan pair and proposes the weight motion averaging algorithm, which can pay more attention to reliable and accurate relative motions.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
