Summary of Visual Echoes: a Simple Unified Transformer For Audio-visual Generation, by Shiqi Yang et al.
Visual Echoes: A Simple Unified Transformer for Audio-Visual Generation
by Shiqi Yang, Zhi Zhong, Mengjie Zhao, Shusuke Takahashi, Masato Ishii, Takashi Shibuya, Yuki Mitsufuji
First submitted to arxiv on: 23 May 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Machine Learning (cs.LG); Multimedia (cs.MM); Sound (cs.SD); Audio and Speech Processing (eess.AS)
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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 a novel approach to image-to-audio generation using a simple and lightweight generative transformer. Unlike previous methods that rely on large language models or composable diffusion models, this method operates in the discrete audio and visual Vector-Quantized GAN space and is trained in the mask denoising manner. The resulting model can be used for both image-to-audio and audio-to-image generation without additional training or modification. The transformer’s modality symmetry allows it to directly generate high-quality audio from images, surpassing recent methods in image-to-audio generation. The authors demonstrate the effectiveness of their approach through experiments and provide samples of generated audio at this URL: https://docs.google.com/presentation/d/1ZtC0SeblKkut4XJcRaDsSTuCRIXB3ypxmSi7HTY3IyQ/. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps us understand how we can use a special kind of computer program, called a generative transformer, to turn pictures into sounds. Right now, there are many ways to convert text into images or audio, but converting between visuals and audio is not as well-studied. The researchers in this paper show that using a simple transformer model can actually produce high-quality results when turning images into audio. This is an important step forward in making it easier for computers to understand and generate different types of media. |
Keywords
» Artificial intelligence » Gan » Image generation » Mask » Transformer
