Animation Skeleton Pose Library Retention for Production Efficiency
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Solution Overview
Problem
The existing animation production methods require pre-defined skeleton poses to be deleted and remade when not used, leading to a heavy workload and low efficiency, as they cannot retain unselected non-reference skeleton poses without affecting the display effect of animated characters.
Innovation Solution
An animation making method and apparatus that invokes a target plug-in node to select and store non-reference skeleton shape models, allowing for the generation of target skeleton shape models based on parameter input instructions without deleting unused poses, thereby improving flexibility and reducing computational workload.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If unused non-reference skeleton poses are deleted to avoid negative display effects, then display quality is improved, but workload increases and production efficiency decreases
Solution Approach 1:
The patent pre-establishes a library of non-reference skeleton poses with their corresponding shape models before animation production begins. These pre-prepared poses are stored and can be directly applied when needed, eliminating the need to delete and remake poses during production. This preliminary preparation resolves the contradiction by ensuring display quality through careful pre-selection while dramatically improving production efficiency through reuse.
Solution Approach 2:
The patent introduces parameters to control the selection and application of skeleton poses and shape models. By adjusting these parameters, the system can dynamically select appropriate pre-established poses without requiring deletion of unused ones. This parameter-based control allows the system to maintain high display quality while improving productivity through flexible reuse of the pose library.
2Productivity
If all non-reference skeleton poses are retained without selection, then production efficiency improves, but display quality deteriorates due to negative effects from unused poses
Solution Approach 1:
The patent pre-establishes and pre-evaluates non-reference skeleton poses, identifying and storing only those with positive or neutral display effects in a dedicated library. This preliminary filtering action allows all useful poses to be retained for efficient reuse during production, while potentially problematic poses are excluded beforehand, thus maintaining both high productivity and display quality.
Solution Approach 2:
The patent creates copies of validated non-reference skeleton poses and their corresponding shape models, storing them in a reusable library. These copied poses can be efficiently applied during animation production without requiring original pose creation, improving productivity while ensuring only quality-validated poses are used, maintaining display quality.
3Manufacturing precision
If specific skeleton poses are pre-established for animation production, then animation quality is improved, but workload increases due to the need to remake deleted poses
Solution Approach 1:
The patent pre-establishes a comprehensive library of non-reference skeleton poses with their corresponding shape models before animation production begins. This preliminary action ensures that high-quality poses are ready for immediate use, eliminating the need to remake deleted poses during production and thus reducing workload while maintaining animation quality.
Solution Approach 2:
The patent implements a pose library system where pre-established poses are preserved and can be recovered for reuse. When a pose is used in one animation project, it remains stored in the library and can be recovered and reused in subsequent projects, eliminating the need to remake poses and reducing overall workload while maintaining animation quality.
Data Source
AI summary
This application belongs to the field of computer technologies, and provides an animation making method and apparatus, a computing device and a storage medium, to improve execution efficiency of animation making. In response to a pose selection instruction for a non-reference skeleton pose, a target plug-in node is invoked, the target plug-in node obtaining a non-reference skeleton shape model corresponding to the non-reference skeleton pose from a non-reference skeleton shape model set based on the pose selection instruction; target skeleton pose for an animated character is determined based on a parameter input instruction for a parameter of the target skeleton pose; and a target skeleton shape model of the target skeleton pose is generated based on the obtained non-reference skeleton shape model of the non-reference skeleton pose.