Summary of Re:draw — Context Aware Translation As a Controllable Method For Artistic Production, by Joao Liborio Cardoso et al.
Re:Draw – Context Aware Translation as a Controllable Method for Artistic Production
by Joao Liborio Cardoso, Francesco Banterle, Paolo Cignoni, Michael Wimmer
First submitted to arxiv on: 7 Jan 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Graphics (cs.GR); Multimedia (cs.MM)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper introduces a novel method called context-aware translation that combines inpainting and image-to-image translation techniques to respect both original input and contextual relevance. Unlike existing methods, this approach enables the controlled use of AI in artistic creation, such as animation and digital art. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary We’ve created a new way for AI to help make art using pictures and words. It’s like filling in missing parts of an image while keeping the rest the same. This can be used to make animations or create digital art that looks more realistic. Our method is special because it makes sure both the original picture and what’s happening around it are important. |
Keywords
» Artificial intelligence » Translation
