Summary of Beyondscene: Higher-resolution Human-centric Scene Generation with Pretrained Diffusion, by Gwanghyun Kim et al.
BeyondScene: Higher-Resolution Human-Centric Scene Generation With Pretrained Diffusion
by Gwanghyun Kim, Hayeon Kim, Hoigi Seo, Dong Un Kang, Se Young Chun
First submitted to arxiv on: 6 Apr 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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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 This paper proposes BeyondScene, a novel framework for generating higher-resolution human-centric scenes with exceptional text-image correspondence and naturalness. The existing text-to-image diffusion models struggle to generate complex scenes involving multiple humans due to limited training image size, text encoder capacity, and the difficulty of generating detailed scenes. BeyondScene addresses these limitations by employing a staged and hierarchical approach that initially generates a detailed base image and then seamlessly converts it to a higher-resolution output, incorporating details aware of text and instances. The framework surpasses existing methods in terms of correspondence with detailed text descriptions and naturalness, paving the way for advanced applications in higher-resolution human-centric scene creation. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary BeyondScene is a new way to create really detailed pictures of people and scenes that are exactly what you asked for. It’s hard for computers to do this because they don’t have enough information or can’t understand what we mean when we describe things. This paper shows how to make it work by breaking down the task into smaller steps, making sure the computer has all the right details, and then combining those details into a final picture. The result is much better than anything else out there, and that means we can use these pictures for really cool things like movies, video games, or even just looking at nice images. |
Keywords
» Artificial intelligence » Diffusion » Encoder
