computer-vision
3D Object Super-Resolution
3260 papers • 126 benchmarks • 313 datasets
3D object super-resolution is the task of up-sampling 3D objects. ( Image credit: Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation )
(Image credit: Papersgraph)
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Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation
Scott Fujimoto, D. Meger, Edward James Smith•Wed Jan 31 2018
This work introduces a novel method for the fast up-sampling of 3D objects in voxel space through networks that perform super-resolution on the six orthographic depth projections, and achieves state-of-the-art performance on 3D object reconstruction from RGB images on the ShapeNet dataset.
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