I2VEdit
I
I2vedit
Overview :
I2VEdit is an innovative video editing technology that extends the editing of a single frame to the entire video through a pre-trained image-to-video model. This technology can adaptively maintain the visual and motion integrity of the source video and effectively handle global editing, local editing, and moderate shape changes, which existing methods cannot achieve. The core of I2VEdit includes two main processes: rough motion extraction and appearance refinement, which are precisely adjusted through coarse-grained attention matching. In addition, a skip interval strategy is introduced to mitigate the quality degradation in the automatic regression generation process of multiple video segments. Experimental results show that I2VEdit's superior performance in fine-grained video editing demonstrates its ability to produce high-quality, temporally consistent output.
Target Users :
I2VEdit is suitable for professional and amateur users who need to perform high-quality video editing. Whether it's virtual try-on, subject replacement, or style conversion, I2VEdit can provide powerful support, helping users easily realize creative video editing.
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Use Cases
Edit wearable items in the source video using I2VEdit
Replace the subject in the source video using I2VEdit
Change the style of the source video using I2VEdit
Features
Propagate editing from a single frame to the entire video
Adaptively maintain the visual and motion integrity of the source video
Handle global editing, local editing, and moderate shape changes
Rough motion extraction to align basic motion patterns
Appearance refinement using fine-grained attention matching for precise adjustments
Skip interval strategy to mitigate the quality degradation of automatic regression generation
Outstanding performance in fine-grained video editing
How to Use
1. Select a pre-trained image-to-video model
2. Determine the video frames to be edited
3. Apply the edit to the selected frames
4. Use I2VEdit to propagate the edit to the entire video
5. Align the basic motion patterns using rough motion extraction
6. Make precise adjustments using appearance refinement
7. Apply the skip interval strategy to optimize the output quality
8. Export the edited video
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