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Found 5 papers, 4 papers with code
LandscapeAR: Large Scale Outdoor Augmented Reality by Matching Photographs with Terrain Models Using Learned Descriptors
We introduce a solution to large scale Augmented Reality for outdoor scenes by registering camera images to textured Digital Elevation Models (DEMs).
Ranked #2 on
Patch Matching
on HPatches
(using extra training data)
ReGroup: Recursive Neural Networks for Hierarchical Grouping of Vector Graphic Primitives
Selection functionality is as fundamental to vector graphics as it is for raster data.
STALP: Style Transfer with Auxiliary Limited Pairing
We present an approach to example-based stylization of images that uses a single pair of a source image and its stylized counterpart.
Real Image Inversion via Segments
In this short report, we present a simple, yet effective approach to editing real images via generative adversarial networks (GAN).
Differentiable Vector Graphics Rasterization for Editing and Learning
We introduce a differentiable rasterizer that bridges the vector graphics and raster image domains, enabling powerful raster-based loss functions, optimization procedures, and machine learning techniques to edit and generate vector content.
