FlowVid: A video-to-video synthesis tool

It improves temporal consistency between video frames by combining spatial conditions and temporal optical flow cues, while providing fast, high-quality video editing capabilities.

FlowVid supports a variety of video editing features, including changing the style of the video, replacing an object in the video, and partial editing.

It can also be used in conjunction with existing image-to-image editing models.

Key features:

1. Video time consistency: FlowVid ensures time consistency in the video editing process. This means that when you edit a frame of a video (such as changing colors, adding objects, etc.), these changes will continue naturally throughout the video, avoiding inconsistencies between frames.
2. Optimization of optical flow estimation: In video processing, optical flow estimation is a technique used to capture and analyze object motion. FlowVid utilizes optical flow while also addressing potential inaccuracies in optical flow estimation, which is important for improving the quality of video synthesis.
3. Efficient Video Generation: FlowVid has significant advantages in video generation efficiency. For example, generating a 4-second long, 30 frames per second, 512×512 resolution video, FlowVid only takes about 1.5 minutes.
4. Compatibility with existing image editing models: The project can be used in conjunction with existing image-to-image (I2I) editing models. This means that you can make edits to the first frame of the video, and then FlowVid will automatically apply those edits to the entire video sequence.
5. Diverse editing functions: FlowVid supports a variety of video editing functions, including style conversion, object replacement, and partial editing. This opens up a wide range of possibilities for video creation.

  • Video editing and enhancement: For example, if you have a video clip and want to change the style or color of one of the objects, FlowVid can help you apply that change consistently throughout the video without frame-to-frame incoherence.
  • Object Replacement: Let’s say you want to replace an object (like a car, clothing, etc.) with another different object in a video. FlowVid is able to achieve this replacement consistently throughout the video sequence, maintaining consistent position and movement of objects across frames.
  • Style Transformation: If you want to convert a regular video into a video with a specific artistic style, such as oil painting or cartoon style, FlowVid can help you achieve style consistency conversion throughout the video.
  • Cross-Device Content Creation: For content creators, FlowVid offers an efficient way to edit videos, especially when it comes to switching between different devices like computers and phones.

Project address: https://jeff-liangf.github.io/projects/flowvid/
Demo video: https://jeff-liangf.github.io/projects/flowvid/supp/supp.html
Thesis: https://arxiv.org/abs/2312.17681
GitHub:https://github.com/Jeff-LiangF/FlowVid

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