kaiw7/V2A-Sonic
MMAudio Paper | Webpage | Models | Huggingface Demo | Colab Demo | Replicate Demo Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis Ho Kei Cheng, Masato Ishii, Akio Hayakawa, Takashi Shibuya, Alexander Schwing, Yuki Mitsufuji University of Illinois Urbana-Champaign, Sony AI, and Sony Group Corporation Highlight MMAudio generates synchronized audio given video and/or text inputs. Our key innovation is multimodal joint training… See the full description on the dataset page: https://huggingface.co/datasets/kaiw7/V2A-Sonic.
| Author / organization | kaiw7 |
|---|---|
| Downloads | 133 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 22 February 2026 |
| Last updated at source | 22 February 2026 |
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133 now (-3 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: MMAudio Paper | Webpage | Models | Huggingface Demo | Colab Demo | Replicate Demo Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis Ho Kei Cheng, Masato Ishii, Akio Hayakawa, Takashi Shibuya, Alexander Schwing, Yuki → MMAudio Paper | Webpage | Models | Huggingface Demo | Colab Demo | Replicate Demo Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis Ho Kei Cheng, Masato Ishii, Akio Hayakawa, Takashi Shibuya, Alexander Schwing, Yuki
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