Search Results for author:
Found 8 papers, 1 papers with code
HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation
Deep implicit surfaces excel at modeling generic shapes but do not always capture the regularities present in manufactured objects, which is something simple geometric primitives are particularly good at.
TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation
Instead, we use a more sophisticated discriminator that returns a label pyramid describing what portions of the road network are correct at several different scales.
Planar Geometry and Image Recovery from Motion-Blur
We first propose an approach for estimation of normal of a planar scene from a single motion blurred observation.
Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution Network
Our work attempts to analyze the trade-off between distortion and perceptual quality for the problem of single image SR. To this end, we use the well-known SR architecture-enhanced deep super-resolution (EDSR) network and show that it can be adapted to achieve better perceptual quality for a specific range of the distortion measure.
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
This paper reviews the first challenge on efficient perceptual image enhancement with the focus on deploying deep learning models on smartphones.
Occlusion-Aware Rolling Shutter Rectification of 3D Scenes
Due to the sequential mechanism, images acquired with a moving camera are subjected to rolling shutter effect which manifests as geometric distortions.
Non-Blind Deblurring: Handling Kernel Uncertainty With CNNs
Blind motion deblurring methods are primarily responsible for recovering an accurate estimate of the blur kernel.
From Local to Global: Edge Profiles to Camera Motion in Blurred Images
In this work, we investigate the relation between the edge profiles present in a motion blurred image and the underlying camera motion responsible for causing the motion blur.
