Results 51 to 60 of about 2,393,011 (281)
Applied Sciences, 2020 We propose a method of enlarging the training dataset for a single-sample-per-person (SSPP) face recognition problem. The appearance of the human face varies greatly, owing to various intrinsic and extrinsic factors.
Yonggeol Lee, Sang-Il Choi
doaj +1 more source
Attribute-Guided Face Generation Using Conditional CycleGAN
, 2018 We are interested in attribute-guided face generation: given a low-res face input image, an attribute vector that can be extracted from a high-res image (attribute image), our new method generates a high-res face image for the low-res input that ...
Lu, Yongyi +2 more
core +2 more sources
Quantum generative adversarial networks with dual generators
Machine Learning: Science and TechnologyQuantum generative adversarial networks (QGANs) have demonstrated strong capabilities in tasks like synthetic data generation and detecting anomalies. Recent developments have increasingly integrated traditional machine learning techniques to boost the ...
Quangong Ma +3 more
doaj +1 more source
SceEmoNet: A Sentiment Analysis Model with Scene Construction Capability
Applied SciencesHow do humans analyze the sentiments embedded in text? When attempting to analyze a text, humans construct a “scene” in their minds through imagination based on the text, generating a vague image.
Yi Liang +4 more
doaj +1 more source
Generative Imaging and Image Processing via Generative Encoder
, 2019 This paper introduces a novel generative encoder (GE) model for generative imaging and image processing with applications in compressed sensing and imaging, image compression, denoising, inpainting, deblurring, and super-resolution. The GE model consists of a pre-training phase and a solving phase.
Chen, Lin, Yang, Haizhao
openaire +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Pediatric central nervous system (CNS) tumors often recur despite multimodality therapy. Although re‐irradiation (re‐RT) has historically been limited by concerns for severe late toxicities, modern techniques have renewed interest in this approach. Proton therapy provides dosimetric advantages that may enable curative re‐treatment with
Jin‐Ho Song +15 more
wiley +1 more source
Decoupled Latent Diffusion Model for Enhancing Image Generation
IEEE AccessLatent 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 ...
Hyun-Tae Choi +2 more
doaj +1 more source
Generative Adversarial Network of Industrial Positron Images on Memory Module
Entropy, 2022 PET (Positron Emission Computed Tomography) imaging is a challenge due to the ill-posed nature and the low data of photo response lines. Generative adversarial networks have been widely used in computer vision and made great success recently.
Mingwei Zhu +3 more
doaj +1 more source
Mapping the evolution of mitochondrial complex I through structural variation
FEBS Letters, EarlyView.Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source
Applied Sciences, 2023 Global photographic aesthetic image generation aims to ensure that images generated by generative adversarial networks (GANs) contain semantic information and have global aesthetic feelings. Existing image aesthetic generation algorithms are still in the
Hua Zhang +4 more
doaj +1 more source