3D Object Dense Reconstruction from a Single Depth View

By Bo Yang, Stefano Rosa, Andrew Markham, Agathoniki Trigoni, Hongkai Wen. 2018

29 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Jitendra Malik
2. Abhinav Kumar Gupta
3. Andrea Vedaldi
4. Alexei A. Efros
5. Trevor Darrell
6. Angjoo Kanazawa
7. Andrew Zisserman
8. Luc Van Gool

Citations in the corpus

• Learning Category-Specific Mesh Reconstruction from Image Collections (2018, background): “While some learning based methods do pursue mesh prediction [14,35,18,24], they also rely on 3D supervision which is only available for restricted classes or in a synthetic setting.”
• PCN: Point Completion Network (2018, methodology): “While most existing learning-based methods [9, 16, 44, 47, 50, 54, 56, 59] represents shapes using voxels, which are convenient for convolutional neural networks, our method uses point clouds, which preserve complete geometric information about the shapes while being memory efficient.”