Drag-Based Video Editing With Shape-Guided Distortion Correction
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Solution Overview
Problem
The drag-based video editing scheme in existing technologies is optimized for position changes, leading to inconsistent editing results and severe distortions due to limitations in the learning data of diffusion models.
Innovation Solution
A method and apparatus that allows users to specify a shape to be corrected by receiving shape information through an input/output region, using a mask to define correction regions, and employing initial and additional distortion correction modules to refine the editing process, including a reference-based deformation scheme for further refinement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a drag-based video editing scheme is used to edit videos by moving handle points to target points, then the editing process is simple and intuitive, but the editing results are inconsistent and distortions occur in some regions due to limitations of learning data
Solution Approach 1:
The correction region is divided into multiple sub-regions, and each sub-region is edited independently by moving handle points to target points. This segmentation allows precise control over specific areas while avoiding unwanted distortions in other regions, resolving the contradiction between ease of operation and editing precision.
Solution Approach 2:
Different regions within the correction area are assigned different editing characteristics. By defining specific sub-regions with distinct handle points and target points, the system applies localized editing quality to each area, ensuring consistent and accurate editing results while maintaining the simplicity of the drag-based operation.
2Device complexity
If only handle point and target point information is received for video editing, then the editing process is simple, but the desired shape correction cannot be precisely specified leading to distorted results
Solution Approach 1:
The correction region is segmented into multiple sub-regions, each with its own handle points and target points. This segmentation enables precise specification of desired shape corrections in different areas while keeping the overall input structure manageable and not overly complex.
Solution Approach 2:
The system adds a dimensional aspect by introducing sub-region boundaries and multiple handle points within the correction region. This additional dimensionality allows precise shape specification without significantly increasing input complexity, as the extra information is organized in a structured manner that builds upon the basic handle-point-to-target-point paradigm.
Data Source
AI summary
A method for video editing based on drag and an input/output region, comprising the steps of: receiving a handle point, a target point, a correction region including the handle point and the target point, and an output region, the output region being shape information desired to be generated using the video editing, from an original video; and generating an initial corrected video using a diffusion model, based on the handle point, the target point, the correction region, and the output region.