Machine learningDeep learning / NLP / CV

Višeslojni difuzijski model

Višeslojni difuzijski model proširuje probabilističke modele difuzije odstupanja šuma kako bi generirao ili razumio sadržaj uvjetovanjem na signale iz više modaliteta — kao što su tekst, slika, zvuk ili video — istovremeno. Uči obrnuti proces uklanjanja šuma vođen unakrsnim modalnim kontekstom, omogućujući sintezu i prijevod visoke vjernosti između modaliteta.

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Izvori

  1. Rombach, R., Blattmann, A., Lorenz, D., Esser, P., & Ommer, B. (2022). High-Resolution Image Synthesis with Latent Diffusion Models. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 10684–10695. DOI: 10.1109/CVPR52688.2022.01042
  2. Ho, J., Jain, A., & Abbeel, P. (2020). Denoising Diffusion Probabilistic Models. Advances in Neural Information Processing Systems (NeurIPS), 33, 6840–6851. link

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Multimodal Diffusion Model (Cross-Modal Conditional Denoising Diffusion). ScholarGate. https://scholargate.app/hr/deep-learning/multimodal-diffusion-model

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Citirana u

ScholarGateMultimodal Diffusion Model (Multimodal Diffusion Model (Cross-Modal Conditional Denoising Diffusion)). Preuzeto 2026-06-15 s https://scholargate.app/hr/deep-learning/multimodal-diffusion-model · Skup podataka: https://doi.org/10.5281/zenodo.20539026