Semantic Scholar Open Access 2020 329 sitasi

3D Photography Using Context-Aware Layered Depth Inpainting

Meng-Li Shih Shih-Yang Su J. Kopf Jia-Bin Huang

Lihat Sumber DOI

Abstrak

We propose a method for converting a single RGB-D input image into a 3D photo, i.e., a multi-layer representation for novel view synthesis that contains hallucinated color and depth structures in regions occluded in the original view. We use a Layered Depth Image with explicit pixel connectivity as underlying representation, and present a learning-based inpainting model that iteratively synthesizes new local color-and-depth content into the occluded region in a spatial context-aware manner. The resulting 3D photos can be efficiently rendered with motion parallax using standard graphics engines. We validate the effectiveness of our method on a wide range of challenging everyday scenes and show less artifacts when compared with the state-of-the-arts.

Topik & Kata Kunci

Computer Science Engineering

Penulis (4)

Meng-Li Shih

Shih-Yang Su

J. Kopf

Jia-Bin Huang

Format Sitasi

APA MLA BibTeX

Shih, M., Su, S., Kopf, J., Huang, J. (2020). 3D Photography Using Context-Aware Layered Depth Inpainting. https://doi.org/10.1109/cvpr42600.2020.00805

Akses Cepat

Lihat di Sumber doi.org/10.1109/cvpr42600.2020.00805

Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Total Sitasi: 329×
Sumber Database: Semantic Scholar
DOI: 10.1109/cvpr42600.2020.00805
Akses: Open Access ✓