Results 71 to 80 of about 572,440 (170)

Elimination of Irregular Boundaries and Seams for UAV Image Stitching with a Diffusion Model

Remote Sensing
Unmanned aerial vehicle (UAV) image stitching refers to the process of combining multiple UAV images into a single large-format, wide-field image, and the stitched image often contains large irregular boundaries and multiple stitching seams.
Jun Chen, Yongxi Luo, Jie Wang, Honghua Tang, Yixian Tang, Jianhui Li   +5 more
doaj   +1 more source

A Training-Free Latent Diffusion Style Transfer Method

Information
Diffusion models have attracted considerable scholarly interest for their outstanding performance in generative tasks. However, current style transfer techniques based on diffusion models still rely on fine-tuning during the inference phase to optimize ...
Zhengtao Xiang, Xing Wan, Libo Xu, Xin Yu, Yuhan Mao   +4 more
doaj   +1 more source

Protein A-like Peptide Design Based on Diffusion and ESM2 Models

Molecules
Proteins are the foundation of life, and designing functional proteins remains a key challenge in biotechnology. Before the development of AlphaFold2, the focus of design was primarily on structure-centric approaches such as using the well-known open ...
Long Zhao, Qiang He, Huijia Song, Tianqian Zhou, An Luo, Zhenguo Wen, Teng Wang, Xiaozhu Lin   +7 more
doaj   +1 more source

Modeling Mental Speed: Decomposing Response Time Distributions in Elementary Cognitive Tasks and Correlations with Working Memory Capacity and Fluid Intelligence

Journal of Intelligence, 2016
Previous research has shown an inverse relation between response times in elementary cognitive tasks and intelligence, but findings are inconsistent as to which is the most informative score.
Florian Schmitz, Oliver Wilhelm
doaj   +1 more source

Spiking Diffusion Models

IEEE Transactions on Artificial Intelligence
Recent years have witnessed Spiking Neural Networks (SNNs) gaining attention for their ultra-low energy consumption and high biological plausibility compared with traditional Artificial Neural Networks (ANNs). Despite their distinguished properties, the application of SNNs in the computationally intensive field of image generation is still under ...
Jiahang Cao, Hanzhong Guo, Ziqing Wang, Deming Zhou, Hao Cheng 0015, Qiang Zhang 0029, Renjing Xu   +6 more
openaire   +2 more sources

Enhancing Global Model Performance in Federated Learning With Non-IID Data Using a Data-Free Generative Diffusion Model

IEEE Access
Federated Learning (FL) presents a decentralized approach to machine learning, allowing multiple clients to jointly train neural networks while maintaining the privacy of their local data.
Mohammadreza Najafi, Masoud Daneshtalab, Jeong-A Lee, Ghazal Saadloonia, Seokjoo Shin   +4 more
doaj   +1 more source

Bellman Diffusion Models

CoRR
Diffusion models have seen tremendous success as generative architectures. Recently, they have been shown to be effective at modelling policies for offline reinforcement learning and imitation learning. We explore using diffusion as a model class for the successor state measure (SSM) of a policy.
Liam Schramm, Abdeslam Boularias
openaire   +2 more sources

Diffusion Model Applied to Postfeeding Larval Dispersal in Blowflies (Diptera: Calliphoridae)

Memorias do Instituto Oswaldo Cruz, 1997
This paper presents a diffusion model of larval dispersal especifically designed to account for particular aspects of postfeeding larval dispersal from the food source in organisms such as blowflies. In these organisms the dispersal of immatures includes
Bassanezi RC, Leite MBF, Godoy WAC, Zuben CJ Von, Zuben FJ Von, Reis SF dos   +5 more
doaj  

RSVQ-Diffusion Model for Text-to-Remote-Sensing Image Generation

Applied Sciences
Despite significant challenges, the text-guided remote sensing image generation method shows great potential in many practical applications such as generative adversarial networks in remote sensing tasks; generated images still face challenges such as ...
Xin Gao, Yao Fu, Xiaonan Jiang, Fanlu Wu, Yu Zhang, Tianjiao Fu, Chao Li, Junyan Pei   +7 more
doaj   +1 more source

Inversion-Based Face Swapping With Diffusion Model

IEEE Access
Face swapping involves replacing a face in an image with another face and ensuring the seamless integration of the source face into the target image. Previous studies have primarily utilized generative adversarial network-based models for face swapping ...
Daehyun Yoo, Hongchul Lee, Jiho Kim
doaj   +1 more source