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Diffusion Models
Denoising Diffusion Probabilistic Models
Published:6/20/2020
Diffusion ModelsImage SynthesisTraining-Free Acceleration MethodsCIFAR10 DatasetProgressive Lossy Decompression
The paper presents a novel denoising diffusion probabilistic model inspired by nonequilibrium thermodynamics, achieving highquality image synthesis. By training on a weighted variational bound, it establishes a new connection with denoising score matching, attaining competitive
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DiffCL: A Diffusion-Based Contrastive Learning Framework with Semantic
Alignment for Multimodal Recommendations
Published:1/2/2025
Multimodal Recommendation SystemsDiffusion ModelsContrastive Learning FrameworkSemantic AlignmentGraph-Based Feature Enhancement
DiffCL is a diffusionbased contrastive learning framework for multimodal recommendation that reduces noise via diffusiongenerated views, aligns crossmodal semantics with stable ID embeddings, and alleviates data sparsity using an itemitem graph, enhancing recommendation accur
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