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About CVPR 2020 Paper Digests
This document summarizes 20 research papers related to computer vision and 3D modeling. The papers cover topics like unsupervised learning of 3D objects from images, predicting traversable surfaces from a single image, dynamic fluid surface reconstruction using deep learning, learning convex decompositions of 3D shapes, and generating compact 3D meshes using binary space partitioning. The papers propose new methods for tasks such as indoor scene reconstruction from a single image, probabilistic monocular depth estimation, detail-preserving 3D shape deformation, high-resolution 3D human digitization, and shading-aware point processing.
Detailed Information
| Author: | ['harivinodn'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 169 |
| Language: | English |
| Format: | |
| Price: | FREE |
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