Articles with "latent diffusion" as a keyword



Zero-Shot Paragraph-level Handwriting Imitation with Latent Diffusion Models

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Published in 2024 at "International Journal of Computer Vision"

DOI: 10.1007/s11263-025-02525-0

Abstract: The imitation of cursive handwriting is mainly limited to generating handwritten words or lines. Multiple synthetic outputs must be stitched together to create paragraphs or whole pages, whereby consistency and layout information are lost. To… read more here.

Keywords: paragraph level; handwriting imitation; latent diffusion; paragraph ... See more keywords

Retrieving and reconstructing conceptually similar images from fMRI with latent diffusion models and a neuro-inspired brain decoding model

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Published in 2024 at "Journal of Neural Engineering"

DOI: 10.1088/1741-2552/ad593c

Abstract: Objective. Brain decoding is a field of computational neuroscience that aims to infer mental states or internal representations of perceptual inputs from measurable brain activity. This study proposes a novel approach to brain decoding that… read more here.

Keywords: brain; space; latent diffusion; model ... See more keywords

Decoupled Latent Diffusion Model for Enhancing Image Generation

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Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3592163

Abstract: Latent Diffusion Models have emerged as an efficient alternative to conventional diffusion approaches by compressing high-dimensional images into a lower-dimensional latent space using a Variational Autoencoder (VAE) and performing diffusion in that space. In standard… read more here.

Keywords: diffusion model; decoupled latent; latent diffusion; diffusion ... See more keywords

Semantic-Aware Adaptive Video Streaming Using Latent Diffusion Models for Wireless Networks

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Published in 2025 at "IEEE Wireless Communications"

DOI: 10.1109/mwc.001.2500068

Abstract: This article proposes a novel Semantic Communication (SemCom) framework for real-time adaptive-bitrate video streaming by integrating Latent Diffusion Models (LDMs) within the FFmpeg techniques. This solution addresses the challenges of high bandwidth usage, storage inefficiencies,… read more here.

Keywords: video; video streaming; latent diffusion; diffusion models ... See more keywords

Latent Watermark: Inject and Detect Watermarks in Latent Diffusion Space

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Published in 2024 at "IEEE Transactions on Multimedia"

DOI: 10.1109/tmm.2025.3535300

Abstract: Watermarking is a tool for actively identifying and attributing the images generated by latent diffusion models. Existing methods face the dilemma of image quality and watermark robustness. Watermarks with superior image quality usually have inferior… read more here.

Keywords: quality; robustness; watermark; latent diffusion ... See more keywords

Latent Diffusion Enhanced Rectangle Transformer for Hyperspectral Image Restoration

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Published in 2024 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"

DOI: 10.1109/tpami.2024.3475249

Abstract: The restoration of hyperspectral image (HSI) plays a pivotal role in subsequent hyperspectral image applications. Despite the remarkable capabilities of deep learning, current HSI restoration methods face challenges in effectively exploring the spatial non-local self-similarity… read more here.

Keywords: restoration; hsi; latent diffusion; hyperspectral image ... See more keywords

Intelligent on-demand inverse design of high-degree-of-freedom meta-atoms: multi-constraint-latent diffusion model and contrastive learning.

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Published in 2025 at "Optics express"

DOI: 10.1364/oe.557592

Abstract: The inverse design of metamaterials is a mapping process from low dimension (spectral response) to high dimension (structure). In this design process, a "one-to-many" mapping problem may arise (similar spectra may correspond to multiple structures).… read more here.

Keywords: meta; latent diffusion; demand; contrastive learning ... See more keywords

Can AI be enabled to perform dynamical downscaling? A latent diffusion model to mimic kilometer-scale COSMO5.0_CLM9 simulations

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Published in 2024 at "Geoscientific Model Development"

DOI: 10.5194/gmd-18-2051-2025

Abstract: Abstract. Downscaling based on deep learning (DL) is a key application in Earth system modeling, enabling the generation of high-resolution fields from coarse numerical simulations at reduced computational costs compared to traditional regional models. Additionally,… read more here.

Keywords: resolution; diffusion model; latent diffusion; model ... See more keywords