Results 31 to 40 of about 742,455 (317)

Product Image Generation Method Based on Morphological Optimization and Image Style Transfer

Applied Sciences
In order to improve the controllability and esthetics of product image generation, from the perspective of design, this study proposes a product image generation method based on morphological optimization, esthetic evaluation, and style transfer. Firstly,
Aimin Zhou, Xinle Wang, Yujin Huang, Weitang Wang, Shutao Zhang, Jinyan Ouyang   +5 more
doaj   +1 more source

XingGAN for Person Image Generation [PDF]

, 2020
We propose a novel Generative Adversarial Network (XingGAN or CrossingGAN) for person image generation tasks, i.e., translating the pose of a given person to a desired one. The proposed Xing generator consists of two generation branches that model the person's appearance and shape information, respectively.
Tang, Hao, Bai, Song, Zhang, Li, Torr, Philip H. S., Sebe, Nicu   +4 more
openaire   +2 more sources

Computer Assisted Relief Generation - a Survey [PDF]

, 2012
In this paper we present an overview of the achievements accomplished to date in the field of computer aided relief generation. We delineate the problem, classify the different solutions, analyze similarities, investigate the evelopment and review the ...
Seidel, Hans-Peter, Belyaev, A., Chang, Jian, M. Wang, J. Chang, Kerber, Jens, Belyaev, Alexander, Kerber, J., Wang, M., Wang, Meili, H.-P. Seidel, J. Kerber, Seidel, H. ; https://orcid.org/, Zhang, Jian J., Chang, J., A. Belyaev, J. J. Zhang, Zhang, J.   +17 more
core   +1 more source

Image Generation and Super-Resolution Reconstruction of Synthetic Aperture Radar Images Based on an Improved Single-Image Generative Adversarial Network

Information
This paper presents a novel method for the super-resolution reconstruction and generation of synthetic aperture radar (SAR) images with an improved single-image generative adversarial network (ISinGAN).
Xuguang Yang, Lixia Nie, Yun Zhang, Ling Zhang   +3 more
doaj   +1 more source

Generative imaging and image processing via generative encoder

Inverse Problems & Imaging, 2022
<p style='text-indent:20px;'>This paper introduces a novel generative encoder (GE) framework for generative imaging and image processing tasks like image reconstruction, compression, denoising, inpainting, deblurring, and super-resolution. GE unifies the generative capacity of GANs and the stability of AEs in an optimization framework instead of ...
Ong, Yong Zheng, Yang, Haizhao
openaire   +3 more sources

A robust automatic clustering scheme for image segmentation using wavelets [PDF]

, 1995
The optimal features with which to discriminate between regions and, thus, segment an image often differ depending on the nature of the image. Many real images are made up of both smooth and textured regions and are best segmented using different ...
Canagarajah, CN, Porter, RMS
core   +1 more source

Enhancing Panax notoginseng Leaf Disease Classification with Inception-SSNet and Image Generation via Improved Diffusion Model

Agronomy
The rapid and accurate classification of Panax notoginseng leaf diseases is vital for timely disease control and reducing economic losses. Recently, image classification algorithms have shown great promise for plant disease diagnosis, but dataset ...
Ruoxi Wang, Xiaofan Zhang, Qiliang Yang, Lian Lei, Jiaping Liang, Ling Yang   +5 more
doaj   +1 more source

The Iconicity of the Generated Image

CoRR
How humans interpret and produce images is influenced by the images we have been exposed to. Similarly, visual generative AI models are exposed to many training images and learn to generate new images based on this. Given the importance of iconic images in human visual communication, as they are widely seen, reproduced, and used as inspiration, we may ...
Nanne van Noord, Noa Garcia
openaire   +2 more sources

Structure and strategy in image generation [PDF]

Cognitive Science, 1981
Two experiments were conducted to test a prediction of the Kosslyn & Shwartz computer simulation model of mental image processing. According to this model, more complex images require more time to form because parts are placed sequentially, and larger images require more time to form than smaller ones because more parts are placed.
Martha J. Farah, Stephen M. Kosslyn
openaire   +1 more source

Enhanced spatial pyramid matching using log-polar-based image subdivision and representation

, 2010
This paper presents a new model for capturing spatial information for object categorization with bag-of-words (BOW). BOW models have recently become popular for the task of object recognition, owing to their good performance and simplicity. Much work has
Zhang, Edmond Yiwen, Mike Mayo, Edmond Zhang, Mayo, Michael   +3 more
core   +1 more source