January 29 — The OpenMOSS group, in collaboration with startup MOSI, formally launched MOVA (MOSS-Video-and-Audio), an end-to-end audio-visual era mannequin.
As China’s first high-performance open-source audio-visual mannequin, MOVA achieves true joint audio-video era, producing sound and visuals concurrently reasonably than stitching them collectively post-hoc. The mannequin can generate audio-visual clips of as much as 8 seconds at resolutions reaching 720p, whereas demonstrating industry-grade efficiency in multilingual lip synchronization and environmental sound alignment.
What units MOVA aside is its broader {industry} significance. At a time when main techniques equivalent to Sora 2 and Veo 3 are more and more closed-source, MOVA adopts a full-stack open-source method, releasing mannequin weights, coaching code, inference code, and fine-tuning recipes to the general public—difficult the rising dominance of proprietary audio-visual era applied sciences.
By way of efficiency, MOVA establishes a brand new benchmark for open-source fashions. Its bodily sound simulation is notably sturdy, precisely reproducing situations such because the engine roar of an SUV racing by way of the desert or the reverberation of gunfire in city fight, attaining deep audio-visual coherence. Its multilingual lip-sync high quality reaches film-grade requirements, with mouth actions, facial expressions, and intonation tightly aligned in each Chinese language and English dialogue scenes. MOVA’s text-to-video capabilities additionally outperform a number of cutting-edge closed-source fashions.
Technically, MOVA is constructed on a 32-billion-parameter Combination-of-Consultants (MoE) structure, incorporating a heterogeneous dual-tower design, bidirectional bridging modules, and an Aligned RoPE mechanism to deal with audio-visual modality alignment. A 3-stage coaching technique mixed with an agent-based workflow additional improves era stability and instruction following.
In benchmarking assessments, MOVA outperforms rivals equivalent to LTX-2 and OVI on key metrics together with lip synchronization and speech accuracy. It achieves an ELO rating of 1113.8 in enviornment evaluations, with win charges exceeding 70% in opposition to a number of fashions. Its full-stack open-source launch considerably lowers the barrier to adoption throughout the {industry}.
GitHub: https://github.com/OpenMOSS/MOVA
Mission web page: https://mosi.cn/fashions/mova
Supply: Synced
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