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аналитика - Music Generation
Harmonizing Pixels and Melodies: Maestro-Guided Film Score Generation and Composition Style Transfer (A Research Paper)
This research introduces HPM, a novel AI framework that leverages a latent diffusion model and a comprehensive film score dataset to automatically generate original and stylistically-controlled film scores from video input.
Improving Co-creation of Musical Accompaniments with Diffusion Transformers
This research paper presents a series of improvements to Diff-A-Riff, a latent diffusion model for generating musical accompaniments, resulting in enhanced audio quality, diversity, inference speed, and text-driven control.
Multi-Track Music Generation and Arrangement with a Latent Diffusion Model
This paper introduces MT-MusicLDM, a novel multi-track music generation model based on latent diffusion, capable of generating coherent multi-track music, both conditionally and unconditionally, and excels at music arrangement generation.
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