✨Harmony: Harmonizing Audio and Video Generation through Cross-Task Synergy
📝 Summary:
Harmony improves audio-visual synchronization in generative AI. It introduces a Cross-Task Synergy training paradigm, a Global-Local Decoupled Interaction Module, and Synchronization-Enhanced CFG. This significantly enhances generation fidelity and fine-grained audio-visual alignment, achieving s...
🔹 Publication Date: Published on Nov 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.21579
• PDF: https://arxiv.org/pdf/2511.21579
• Project Page: https://sjtuplayer.github.io/projects/Harmony/
• Github: https://github.com/sjtuplayer/Harmony
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For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#GenerativeAI #AudioVisual #DeepLearning #AISynchronization #AIResearch
📝 Summary:
Harmony improves audio-visual synchronization in generative AI. It introduces a Cross-Task Synergy training paradigm, a Global-Local Decoupled Interaction Module, and Synchronization-Enhanced CFG. This significantly enhances generation fidelity and fine-grained audio-visual alignment, achieving s...
🔹 Publication Date: Published on Nov 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.21579
• PDF: https://arxiv.org/pdf/2511.21579
• Project Page: https://sjtuplayer.github.io/projects/Harmony/
• Github: https://github.com/sjtuplayer/Harmony
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#GenerativeAI #AudioVisual #DeepLearning #AISynchronization #AIResearch
✨ID-LoRA: Identity-Driven Audio-Video Personalization with In-Context LoRA
📝 Summary:
ID-LoRA jointly generates visual appearance and voice with a single model, improving personalization. It uses in-context LoRA adaptation and identity guidance to preserve speaker characteristics. This outperforms existing methods in human preference for voice and style similarity.
🔹 Publication Date: Published on Mar 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.10256
• PDF: https://arxiv.org/pdf/2603.10256
• Project Page: https://id-lora.github.io/
• Github: https://github.com/ID-LoRA/ID-LoRA
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#GenerativeAI #AudioVisual #LoRA #Personalization #DeepLearning
📝 Summary:
ID-LoRA jointly generates visual appearance and voice with a single model, improving personalization. It uses in-context LoRA adaptation and identity guidance to preserve speaker characteristics. This outperforms existing methods in human preference for voice and style similarity.
🔹 Publication Date: Published on Mar 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.10256
• PDF: https://arxiv.org/pdf/2603.10256
• Project Page: https://id-lora.github.io/
• Github: https://github.com/ID-LoRA/ID-LoRA
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#GenerativeAI #AudioVisual #LoRA #Personalization #DeepLearning
✨OmniForcing: Unleashing Real-time Joint Audio-Visual Generation
📝 Summary:
OmniForcing transforms slow bidirectional audio-visual diffusion models into fast, real-time streaming generators. It tackles training instability and synchronization by using asymmetric alignment, a global prefix, and an audio sink token. This enables high-fidelity, synchronized generation at 25...
🔹 Publication Date: Published on Mar 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.11647
• PDF: https://arxiv.org/pdf/2603.11647
• Project Page: https://omniforcing.com/
• Github: https://github.com/OmniForcing/OmniForcing
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#GenerativeAI #AudioVisual #RealtimeAI #DiffusionModels #DeepLearning
📝 Summary:
OmniForcing transforms slow bidirectional audio-visual diffusion models into fast, real-time streaming generators. It tackles training instability and synchronization by using asymmetric alignment, a global prefix, and an audio sink token. This enables high-fidelity, synchronized generation at 25...
🔹 Publication Date: Published on Mar 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.11647
• PDF: https://arxiv.org/pdf/2603.11647
• Project Page: https://omniforcing.com/
• Github: https://github.com/OmniForcing/OmniForcing
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#GenerativeAI #AudioVisual #RealtimeAI #DiffusionModels #DeepLearning