To complete a business transaction requests, there arise a need of combining multiple workflow web services to form a composition with the help of multi-agent system. In this paper, a conceptual model of provenance ontology (PROV) for a workflow with the help of multihoming agent based fault ...
GitHub - Shilin-LU/TF-ICON: [ICCV 2023] "TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition" (Official Implementation)github.com/Shilin-LU/TF-ICON 论文试图解决什么问题? 如何直接利用大规模的T2I模型进行图像引导合成,而不需要代价昂贵的训练或微调,从而避免破坏多样化的先验。当前...
This cross-domain interactive composition in music is based on the comprehension of a human’s mental ability of representing (schemata), associating, and cross domain mapping. While combining with the perception of improvisation, it is structured for creating interactive composition and animation. Firs...
TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition Shilin Lu1 Yanzhu Liu2 Adams Wai-Kin Kong1 1School of Computer Science and Engineering, Nanyang Technological University, Singapore 2Institute for Infocomm Research (I2R) & Centre for Frontier AI ...
In contrast, TF-ICON can leverage off-the-shelf diffusion models to perform cross-domain image-guided composition without requiring additional training, finetuning, or optimization. Moreover, we introduce the exceptional prompt, which contains no information, to facilitate text-driven diffusion models ...
Text-driven diffusion models have exhibited impressive generative capabilities, enabling various image editing tasks. In this paper, we propose TF-ICON, a novel Training-Free Image COmpositioN framework that harnesses the power of text-driven diffusion models for cross-domain image-guided composition. ...
(2001) ranked number 1 in this cluster and used equilibrium modeling to predict the gasification process of a biomass downdraft gasifier to investigate how the water content and temperature in the biomass affect the composition and energy content of the syngas (Zainal et al.2001). Puig-Arnavat ...
Therefore, we aim to expand the coverage of spectra composition in the source datasets to help the source domain cover a larger range of possible target-domain information, to mitigate the domain gap. To achieve this goal, we propose the Spectral Decomposition and Transformation (SDT) method, ...
Composition loss for counting, density map estimation and localization in dense crowds. In ECCV, pages 532–546, 2018. 6 [15] Wang Li, Li Yongbo, and Xue Xiangyang. Coda: Count- ing objects via scale-aware adversarial density adaption. In ICME, pages 193–198, 2019. 2 [16] C...
Efficient query of quality correlation for service composition IEEE Transactions on Services Computing, 14 (3) (2018), pp. 695-709 View in ScopusGoogle Scholar [28] Q. Hou, M. Han, Z. Cai Survey on data analysis in social media: a practical application aspect Big Data Mining and Analytics...