Creating realistic 3D face models is a challenging problem in computer graphics because humans are so sensitive to facial abnormalities. The authors propose a method to synthesize a 3D face model using weighted blending of multiscale details from different face models. Using multiscale continuous displacement maps (CDMs), they achieve full correspondences across multiple scales in the parameter space. Their results demonstrate detail transfer across faces with highly different proportions, such as between humans and nonhuman creatures. An artist evaluation also indicated the proposed approach is intuitive and easy to use.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1109/MCG.2017.4031069 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Lithofacies classification and identification are of great significance in the exploration and evaluation of tight sandstone reservoirs. Existing methods of lithofacies identification in tight sandstone reservoirs face issues such as lengthy manual classification, strong subjectivity of identification, and insufficient sample datasets, which make it challenging to analyze the lithofacies characteristics of these reservoirs during oil and gas exploration. In this paper, the Fuyu oil formation in the Songliao Basin is selected as the target area, and an intelligent method for recognizing the lithophysics reservoirs in tight sandstone based on hybrid multilayer perceptron (MLP) and multivariate time series (MTS-Mixers) is proposed.
View Article and Find Full Text PDFChanges in and prediction of land carrying capacity in Fujian Province from a dietary nutrition perspective.
Sci Rep
December 2024
College of Economics and Management, Fujian Agriculture and Forestry University, Fuzhou, 350002, Fujian, China.
Resources and land carrying capacity are vital to the survival and development of human society and form the foundation for ensuring food security. However, evaluating land carrying capacity solely based on grain production is overly simplistic. A comprehensive assessment from the perspective of dietary nutrition is needed to more accurately reflect the actual carrying capacity of land.
View Article and Find Full Text PDFPropensity score matching analysis of the association between physical activity and multimorbidity in middle-aged and elderly Chinese.
Sci Rep
December 2024
College of Physical Education, Jilin Normal University, Siping, 136000, Jilin, China.
In the context of an aging population, older adults increasingly face the challenge of managing multiple chronic conditions simultaneously. This study utilized analytical methods such as propensity score matching (PSM) and multivariate logistic regression, to explore the relationship between physical activity and the number of chronic diseases as well as the risk of developing co-morbidities among middle-aged and elderly Chinese individuals using data from the 2020 China Health and Retirement Longitudinal Survey. The PSM results showed that physical activity decreased the number of chronic diseases in middle-aged and elderly people by 0.
View Article and Find Full Text PDFCirculating level of growth-differentiation factor 15 and the functional outcome after acute ischemic stroke: a systematic review and meta-analysis.
Head Face Med
December 2024
The Second Department of Neurology, The First People's Hospital of Nanning, No. 90, Qixing Road, Nanning, Guangxi Province, 530022, China.
Growth-differentiation factor 15 (GDF-15) is a cytokine involved in cellular stress responses and inflammation. This meta-analysis evaluates the association between circulating GDF-15 levels and functional outcomes in patients with acute ischemic stroke (AIS). A comprehensive search of Medline, Web of Science, Embase, Wanfang, and CNKI was conducted up to July 15, 2024.
View Article and Find Full Text PDFEnhancing consistency and mitigating bias: A data replay approach for incremental learning.
Neural Netw
December 2024
Department of Automation, Tsinghua University, Beijing 100084, China. Electronic address:
Deep learning systems are prone to catastrophic forgetting when learning from a sequence of tasks, as old data from previous tasks is unavailable when learning a new task. To address this, some methods propose replaying data from previous tasks during new task learning, typically using extra memory to store replay data. However, it is not expected in practice due to memory constraints and data privacy issues.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!