Summary of A Simple but Strong Baseline For Sounding Video Generation: Effective Adaptation Of Audio and Video Diffusion Models For Joint Generation, by Masato Ishii and Akio Hayakawa and Takashi Shibuya and Yuki Mitsufuji
A Simple but Strong Baseline for Sounding Video Generation: Effective Adaptation of Audio and Video Diffusion Models for Joint Generation
by Masato Ishii, Akio Hayakawa, Takashi Shibuya, Yuki Mitsufuji
First submitted to arxiv on: 26 Sep 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: 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 research paper proposes a novel approach to generating audio-video pairs using diffusion models, with a focus on aligning the audio and video components. The authors integrate base audio and video models into a single model, training it to generate both modalities simultaneously. To enhance alignment, they introduce two novel mechanisms: timestep adjustment, which provides separate timestep information for each modality; and Cross-Modal Conditioning as Positional Encoding (CMC-PE), which embeds cross-modal information as temporal position encoding. The authors demonstrate the effectiveness of these mechanisms through experimental results, outperforming existing methods. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about making videos that sound like music. Scientists are trying to make machines that can generate both audio and video together, rather than separately. They created a new way for their machine to understand how to match up what’s happening in the video with the sounds it makes. This helps make the generated audio and video look more realistic. The scientists tested their idea and found that it works better than other methods they tried. |
Keywords
» Artificial intelligence » Alignment » Diffusion » Positional encoding
