Adaptive Multiplane Image Generation for Low-Memory Devices
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for generating three-dimensional effects and novel views from a single image require high computational resources and memory, especially for complex scenes, due to the need for a large number of image planes in multiplane image representations, which limits their applicability on low-memory devices like smartphones and smart TVs.
Innovation Solution
The proposed method computes an adaptive multiplane image (AMI) representation by analyzing the scene's geometry and content to determine the optimal number and positioning of image planes, using lightweight CNN architectures and Time-Frequency Decomposition techniques for efficient depth estimation and inpainting, allowing for real-time rendering of high-quality 3D effects on low-memory devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a large number of image planes are used in multiplane image representations to achieve high-quality 3D effects, then the visual quality and depth perception are improved, but the memory and computational requirements increase significantly
Solution Approach 1:
The patent segments the image into multiple depth planes, where each plane represents objects at a specific depth range. This segmentation allows the system to process and store only the necessary portions of the image at different depths, reducing overall memory requirements while maintaining 3D effect quality.
Solution Approach 2:
The patent applies different processing qualities to different depth planes based on their importance and visual impact. By prioritizing planes with more significant visual content and applying higher processing resolution only where needed, the system maintains high 3D effect quality while reducing overall computational and memory resources consumed.
2Adaptability or versatility
If the number of image planes is reduced to lower memory and computational requirements, then the applicability on low-memory devices is improved, but the quality of 3D effects and depth perception deteriorates
Solution Approach 1:
The patent dynamically adjusts parameters such as the number of depth planes, resolution of each plane, and spacing between planes based on the complexity of the scene and the capabilities of the target device. This allows the system to adapt to low-memory devices while maintaining acceptable 3D effect quality through optimized parameter selection.
Solution Approach 2:
The patent applies partial processing to certain depth planes, focusing computational resources on the most visually significant planes while using lower processing quality for less critical planes. This partial action approach maintains sufficient 3D effect quality on low-memory devices without requiring full processing of all planes.
3Ease of manufacture
If fixed spacing between image planes is used in multiplane image representations, then the implementation is simplified, but rendering artifacts occur in complex scenes with varying depth structures
Solution Approach 1:
The patent transitions from fixed spacing between image planes to dynamic spacing that adapts to the depth structure of the scene. By calculating optimal spacing based on the actual depth distribution and object positions, the system eliminates rendering artifacts while maintaining reasonable implementation complexity through automated depth analysis.
Data Source
AI summary
A method to compute a variable number of image planes, which are selected to better represent the scene while reducing the artifacts on produced novel views. This method analyses the structure of the scene by means of a depth map and selects the position in the Z-axis to split the original image into individual layers. The method also determines the number of layers in an adaptive way.