Progressive 3D Mesh Refinement With ML and Residual Detail Recovery
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Solution Overview
Problem
Conventional 3D mesh rendering techniques require significant data transmission, leading to visual inaccuracies, computational inefficiencies, and increased power consumption due to high resolution polygon meshes.
Innovation Solution
A mesh progression system that generates a coarse polygon mesh by encoding details, transmits it over a network, and uses a machine learning model to progressively decode and adjust the mesh to a fine polygon mesh, incorporating residual features to restore detail.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional techniques are used to render high-resolution 3D meshes, then visual fidelity is maintained, but data transmission requirements increase significantly
Solution Approach 1:
The patent segments the mesh rendering process into two distinct stages: transmission of a coarse low-resolution mesh structure, and subsequent local refinement at the client device. This segmentation allows the server to transmit only essential structural data while enabling the client to generate high-resolution details locally, thereby reducing overall data transmission requirements while maintaining visual fidelity.
Solution Approach 2:
The patent transitions from transmitting complete high-resolution mesh data in traditional 2D/3D space to transmitting compressed structural information that enables progressive refinement. By adding the temporal dimension of progressive loading and refinement, the system can deliver acceptable visual quality faster with less initial data, then progressively enhance detail as needed.
2Measurement precision
If high-resolution polygon meshes are transmitted to client devices, then detailed and realistic rendering is achieved, but computational efficiency decreases
Solution Approach 1:
The patent applies preliminary action by pre-computing and transmitting the coarse mesh structure and refinement parameters to the client device before full high-resolution rendering is needed. This allows the client to start rendering with available data immediately, improving computational efficiency, while maintaining the option to enhance detail as computational resources become available or as refinement data is progressively received.
3Measurement precision
If high-resolution polygon meshes are transmitted to client devices, then detailed and realistic rendering is achieved, but power consumption increases
Solution Approach 1:
The patent implements preliminary action by transmitting coarse mesh structures and refinement parameters in advance, enabling client devices to begin rendering at lower resolution immediately. This reduces initial power consumption while maintaining the capability to progressively refine to high resolution only when and where needed, thereby optimizing energy efficiency without sacrificing ultimate rendering detail.
Data Source
AI summary
In implementation of techniques for progressively generating fine polygon meshes, a computing device implements a mesh progression system to receive a coarse polygon mesh. The mesh progression system generates a fine polygon mesh that has a higher level of resolution than the coarse polygon mesh by decoding the coarse polygon mesh using a machine learning model. The mesh progression system then receives additional data describing a residual feature of a polygon mesh. Based on the additional data, the mesh progression system generates an adjusted fine polygon mesh that has a higher level of resolution than the fine polygon mesh.