Search
Search Results
-
Generative adversarial network for newborn 3D skeleton part segmentation
Childbirth simulations have been studied in order to predict and prevent difficult delivery issues. The reconstruction of the maternal pelvic model,...
-
3D solid model generation method based on a generative adversarial network
Three-dimensional (3D) solid model generation technology is the foundation to realize intelligently generated structural design, but this problem has...
-
3D Generative Network
The area of 3D generative network has been develo** rapidly due in part to the progresses in generative models and 3D sensing technology. It has a...
-
Smart GAN: a smart generative adversarial network for limited imbalanced dataset
Advancements in Machine Learning (ML) and Computer Vision have led to notable improvements in the detection of breast cancer. However, the accuracy...
-
A systematic literature review of generative adversarial networks (GANs) in 3D avatar reconstruction from 2D images
The rapid advancement of machine learning and computer vision has paved the way for significant processes in 3D avatar reconstruction from 2D images....
-
Multi-view Consistent Generative Adversarial Networks for Compositional 3D-Aware Image Synthesis
This paper studies compositional 3D-aware image synthesis for both single-object and multi-object scenes. We observe that two challenges remain in...
-
Unsupervised video-based action recognition using two-stream generative adversarial network
Video-based action recognition faces many challenges, such as complex and varied dynamic motion, spatio-temporal similar action factors, and manual...
-
VAEWGAN-NCO in image deblurring framework using variational autoencoders and Wasserstein generative adversarial network
This article proposes a novel “Deep Salient Image Deblurring (DSID) Framework” for kernel-free image deblurring that combines saliency detection and...
-
Multi-scale information fusion generative adversarial network for real-world noisy image denoising
Image denoising is crucial for enhancing image quality, improving visual effects, and boosting the accuracy of image analysis and recognition. Most...
-
HSSAN: hair synthesis with style-guided spatially adaptive normalization on generative adversarial network
Hair synthesis plays a crucial role in generating facial images, but the complex textures and varied shapes of hair create obstacles in creating...
-
STemGAN: spatio-temporal generative adversarial network for video anomaly detection
Automatic detection and interpretation of abnormal events have become crucial tasks in large-scale video surveillance systems. The challenges arise...
-
A Novel Small Samples Fault Diagnosis Method Based on the Self-attention Wasserstein Generative Adversarial Network
In the current industrial production process, fault data of rotating machinery are often difficult to obtain, and a small amount of fault data can...
-
Generative Adversarial Network Applications in Industry 4.0: A Review
The breakthrough brought by generative adversarial networks (GANs) in computer vision (CV) applications has gained a lot of attention in different...
-
Multi-Constraint Transferable Generative Adversarial Networks for Cross-Modal Brain Image Synthesis
Recent progress in generative models has led to the drastic growth of research in image generation. Existing approaches show visually compelling...
-
Elevating semantic segmentation: a conditional generative adversarial network (CGAN)-based synthetic scene image generation for enhanced precision
Accurately segmenting the left ventricle in end-diastolic echocardiography images is vital for precise cardiac diagnosis. Existing methods often...
-
Anterior cruciate ligament tear detection based on convolutional neural network and generative adversarial neural network
Knee ligament tear injury is frequent in many volleyball, football, basketball, and cricket players. In the past, various deep learning-based ACL...
-
Optimal deep generative adversarial network and convolutional neural network for rice leaf disease prediction
Rice which is a staple food crop in most Asian countries mainly suffers from higher yield loss due to different factors, and one of the common...
-
Optimized Mirror Generative Adversarial Network with BERT Neural Architecture for Text Caption to Image Conversion
In the past few years, there have been many advancements in the field of Generative Adversarial Networks (GANs). The paper talks about the various...
-
Neural style transfer generative adversarial network (NST-GAN) for facial expression recognition
With the increasing number of intelligent human–computer systems, more and more research is focusing on human emotion recognition. Facial expressions...
-
Multi-scale fusion and adaptively attentive generative adversarial network for image de-raining
The quality of images taken on rainy days is decreased due to rain streaks. These degraded images affect the performance of vision applications...
