Summary of Onlyflow: Optical Flow Based Motion Conditioning For Video Diffusion Models, by Mathis Koroglu et al.
OnlyFlow: Optical Flow based Motion Conditioning for Video Diffusion Models
by Mathis Koroglu, Hugo Caselles-Dupré, Guillaume Jeanneret Sanmiguel, Matthieu Cord
First submitted to arxiv on: 15 Nov 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Medium Difficulty summary: This paper presents a novel approach called OnlyFlow for text-to-video generation with precise control over camera movements. Unlike existing methods that rely on user-defined controls, OnlyFlow uses optical flow extracted from an input video to condition the motion of generated videos. The method consists of an optical flow estimation model applied to the input video, followed by a trainable optical flow encoder and a text-to-video backbone model. The authors demonstrate the effectiveness of OnlyFlow through quantitative, qualitative, and user preference studies, showing that it outperforms state-of-the-art methods on various tasks. This approach is particularly useful for applications such as camera movement control and video editing. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Low Difficulty summary: Imagine you want to make a new video with moving objects and camera movements that match the original video. Most current methods require you to specify all the details, which can be time-consuming. Researchers have now developed a new approach called OnlyFlow that makes this process easier. It uses information from the original video to control the movement of generated videos. The authors tested their method on various tasks and found it worked better than other approaches. This technology has many potential applications, such as making movies or editing videos. |
Keywords
» Artificial intelligence » Encoder » Optical flow
