INVE is an AI method for interactive neural video editing: Can you imagine the internet without image editing? All those funny memes, the slick Instagram photos, the fascinating landscapes – everything would be gone. That wouldn’t be a funny internet, right?
Introduction
Digitization has revolutionized image editing. What was once reserved only for professionals is now possible for anyone with simple tools. Snapshots are transformed into artistic creations. However, video editing is still lagging behind in development. Video editing often requires expertise and sophisticated software. You have to dive into complex programs like Premiere and FinalCut Pro and try to tweak every single detail yourself. No wonder video editing nowadays is a well-paid profession. Image editing, on the other hand, can even be done in mobile phone apps, and the results are sufficient for the average user.
With AI systems like INVE, this could change. They automate time-consuming steps and enable laymen to perform simple and intuitive real-time editing. Virtual brushstrokes enchant videos effortlessly. What has long been commonplace with photos is finally becoming a reality with moving images as well.
A small revolution for creative minds who no longer have to see their visions throttled by technical limitations. Thanks to AI, video art and design are entering a new era of possibilities. The future of video editing is interactive.
Imagine the possibilities if interactive video editing could become as user-friendly as image editing. Imagine being able to leave the technical complexities behind and embrace a whole new level of freedom! Time to get to know INVE.
INVE = Interactive Neural Video Editing
The main goal of INVE is to enable users to perform complex edits on videos in a simple and intuitive way. The approach builds on layered neural atlas representations consisting of 2D atlases (images) for each object and the background in the video. These atlases enable localized and consistent edits.
Video editing is cumbersome due to several inherent challenges. For example, different objects in a video can move independently, requiring precise localization and careful composition to avoid unnatural artifacts. In addition, edits to individual frames can lead to inconsistencies and noticeable disturbances. To address these issues, INVE introduces a novel approach with layered neural atlas representations.
The idea is to represent a video as a series of 2D atlases, one for each moving object and one for the background. This representation enables localized edits while maintaining consistency throughout the video. However, previous methods struggled with bidirectional mapping, making it difficult to predict the outcome of certain edits. Additionally, computational complexity hindered real-time interactive editing.
INVE learns a bidirectional mapping between the atlases and the video frame. This allows users to make edits either in the atlases or in the video itself, providing more editing options and better understanding of how edits will look in the final video.
In addition, INVE employs multi-resolution hash encoding, significantly accelerating learning and inference. This enables a truly interactive editing experience for users.
INVE provides an extensive vocabulary of editing operations, including rigid texture tracking and vectorized sketching. This allows even novices to easily harness the power of interactive video editing without getting bogged down in technical complexities. It makes video editing, like adding external graphics to a moving car, adjusting the hue of the background forest, or sketching on a road, child’s play, as these edits are effortlessly propagated throughout the video.
INVE – What This Could Mean for the Industry
- Easier usability: Through the automated neural processes, even a layman without prior knowledge can create simple video edits. Complex software and tedious training become unnecessary.
- Faster workflows: INVE enables real-time editing directly in the preview. Instead of tediously rendering effects afterward, you immediately see the result. This saves a huge amount of time.
- More flexible creativity: With INVE, videos can be interactively modified and adapted. It’s a playful creative process that opens up new possibilities. Limits are broken.
- Personalized content: Through the easy handling, everyone can incorporate their personal touch into videos. The hurdles for individual video production are lowered.
- Democratization of video editing: In the past, complex video edits were reserved for professionals with expensive equipment. INVE makes this power much more widely accessible.
- Novel video formats: The new interactive possibilities can lead to completely new types of videos that adapt and change.
Conclusion: INVE has the potential to bring creative video production out of its niche and turn it into an intuitive mass application. The video of the future will be interactive and designable for everyone.
Source: Research paper, Arxiv.org, GitHub Gabriel Hung
#ai #ml #inve #videoediting #artificialintelligence #neuralprocesses #interactivity