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cloud.google.com·7h ago
AI Research
arXiv CS.AI·Jul 24·5 min read
OmniCustom: Sync Audio-Video Customization Via Joint Audio-Video Generation Model
TL;DR
OmniCustom introduces a novel framework for synchronously customizing audio and video content, maintaining identity and timbre fidelity. It outperforms existing methods by integrating reference images, audio, and text prompts in a zero-shot manner.
✦ Why It Matters
Explore OmniCustom to enhance your multimedia projects with synchronized audio and video customization.
Key Takeaways
- Utilize OmniCustom for advanced audio-video synchronization in projects.
- Leverage separate modules for identity and audio control in your applications.
- Implement contrastive learning to improve model performance in multimedia tasks.
- Explore the large-scale dataset for training custom audio-video generation models.
How It Works
OmniCustom employs a DiT-based architecture that integrates separate modules for controlling video identity and audio timbre. These modules utilize self-attention layers to effectively process reference inputs.
The framework also incorporates a contrastive learning objective, which enhances the model's ability to generate content that accurately reflects the desired identity and audio characteristics.