Weakly-Supervised Single-view Dense 3D Point Cloud Reconstruction via Differentiable Renderer

Volume: 34, Issue: 1
Published: Sep 30, 2021
Abstract
In recent years, addressing ill-posed problems by leveraging prior knowledge contained in databases on learning techniques has gained much attention. In this paper, we focus on complete three-dimensional (3D) point cloud reconstruction based on a single red-green-blue (RGB) image, a task that cannot be approached using classical reconstruction techniques. For this purpose, we used an encoder-decoder framework to encode the RGB information in...
Paper Details
Title
Weakly-Supervised Single-view Dense 3D Point Cloud Reconstruction via Differentiable Renderer
Published Date
Sep 30, 2021
Volume
34
Issue
1
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