Results 41 to 50 of about 572,440 (170)

Frequency-Aware Diffusion Model for Multi-Modal MRI Image Synthesis

Journal of Imaging
Magnetic Resonance Imaging (MRI) is a widely used, non-invasive imaging technology that plays a critical role in clinical diagnostics. Multi-modal MRI, which combines images from different modalities, enhances diagnostic accuracy by offering ...
Mingfeng Jiang, Peihang Jia, Xin Huang, Zihan Yuan, Dongsheng Ruan, Feng Liu, Ling Xia   +6 more
doaj   +1 more source

A Flexible Diffusion Model

CoRR, 2022
Diffusion (score-based) generative models have been widely used for modeling various types of complex data, including images, audios, and point clouds. Recently, the deep connection between forward-backward stochastic differential equations (SDEs) and diffusion-based models has been revealed, and several new variants of SDEs are proposed (e.g., sub-VP,
Weitao Du, He Zhang, Tao Yang, Yuanqi Du
openaire   +3 more sources

Typological Transcoding Through LoRA and Diffusion Models: A Methodological Framework for Stylistic Emulation of Eclectic Facades in Krakow

Buildings
The stylistic emulation of historical building facades presents significant challenges for artificial intelligence (AI), particularly for complex and data-scarce styles like Krakow’s Eclecticism.
Zequn Chen, Nan Zhang, Chaoran Xu, Zhiyu Xu, Songjiang Han, Lishan Jiang   +5 more
doaj   +1 more source

State-of-Health Prediction of Lithium-Ion Batteries Based on Diffusion Model with Transfer Learning

Energies, 2023
An accurate state-of-health (SOH) prediction of lithium-ion batteries (LIBs) is crucial to their safe and reliable. Although recently the data-driven methods have drawn great attention, owe to its efficient deep learning, it is worthwhile to continue ...
Chenqiang Luo, Zhendong Zhang, Shunliang Zhu, Yongying Li   +3 more
doaj   +1 more source

IDNet: A Diffusion Model-Enhanced Framework for Accurate Cranio-Maxillofacial Bone Defect Repair

Bioengineering
Cranio-maxillofacial bone defect repair poses significant challenges in oral and maxillofacial surgery due to the complex anatomy of the region and its substantial impact on patients’ physiological function, aesthetic appearance, and quality of life ...
Xueqin Ji, Wensheng Wang, Xiaobiao Zhang, Xinrong Chen   +3 more
doaj   +1 more source

Combining diffusion and transformer models for enhanced promoter synthesis and strength prediction in deep learning

mSystems
In the field of synthetic biology, the engineering of synthetic promoters that outperform their natural counterparts is of paramount importance, which can optimize the expression of exogenous genes, enhance the efficiency of metabolic pathways, and ...
Xin Lei, Xing Wang, Guanlin Chen, Ce Liang, Quhuan Li, Huaiguang Jiang, Wei Xiong   +6 more
doaj   +1 more source

Diffusion Soup: Model Merging for Text-to-Image Diffusion Models

We present Diffusion Soup, a compartmentalization method for Text-to-Image Generation that averages the weights of diffusion models trained on sharded data. By construction, our approach enables training-free continual learning and unlearning with no additional memory or inference costs, since models corresponding to data shards can be added or removed
Benjamin Biggs, Arjun Seshadri, Yang Zou, Achin Jain, Aditya Golatkar, Yusheng Xie, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto   +8 more
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Neurosymbolic Diffusion Models

CoRR
Accepted to NeurIPS ...
Emile van Krieken, Pasquale Minervini, Edoardo M. Ponti, Antonio Vergari   +3 more
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On the Mathematics of Diffusion Models

CoRR, 2023
This paper gives direct derivations of the differential equations and likelihood formulas of diffusion models assuming only knowledge of Gaussian distributions. A VAE analysis derives both forward and backward stochastic differential equations (SDEs) as well as non-variational integral expressions for likelihood formulas.
openaire   +2 more sources

A Diffusion Model for POI Recommendation

ACM Transactions on Information Systems, 2023
Next Point-of-Interest (POI) recommendation is a critical task in location-based services that aim to provide personalized suggestions for the user’s next destination. Previous works on POI recommendation have laid focus on modeling the user’s spatial preference.
Yifang Qin, Hongjun Wu 0006, Wei Ju 0001, Xiao Luo 0001, Ming Zhang 0004   +4 more
openaire   +2 more sources