| Paper ID | SS-MRII.2 | ||
| Paper Title | COMPACT AND ADAPTIVE MULTIPLANE IMAGES FOR VIEW SYNTHESIS | ||
| Authors | Julia Navarro, Neus Sabater, InterDigital, France | ||
| Session | SS-MRII: Special Session: Models and representations for Immersive Imaging | ||
| Location | Area A | ||
| Session Time: | Wednesday, 22 September, 08:00 - 09:30 | ||
| Presentation Time: | Wednesday, 22 September, 08:00 - 09:30 | ||
| Presentation | Poster | ||
| Topic | Special Sessions: Models and Representations for Immersive Imaging | ||
| IEEE Xplore Open Preview | Click here to view in IEEE Xplore | ||
| Abstract | Recently, learning methods have been designed to create Multiplane Images (MPIs) for view synthesis. While MPIs are extremely powerful and facilitate high quality renderings, a great amount of memory is required, making them impractical for many applications. In this paper, we propose a learning method that optimizes the available memory to render compact and adaptive MPIs. Our MPIs avoid redundant information and take into account the scene geometry to determine the depth sampling. | ||