DeepThink IoT: the strength of deep learning in internet of things

D Thakur, JK Saini, S Srinivasan - Artificial Intelligence Review, 2023 - Springer
Abstract The integration of Deep Learning (DL) and the Internet of Things (IoT) has
revolutionized technology in the twenty-first century, enabling humans and machines to …

NeRF-Art: Text-Driven Neural Radiance Fields Stylization

C Wang, R Jiang, M Chai, M He… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
As a powerful representation of 3D scenes, the neural radiance field (NeRF) enables high-
quality novel view synthesis from multi-view images. Stylizing NeRF, however, remains …

Evaluation metrics for intelligent generation of graphical game assets: a systematic survey-based framework

K Fukaya, D Daylamani-Zad… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Generative systems for graphical assets have the potential to provide users with high quality
assets at the push of a button. However, there are many forms of assets, and many …

Caster: Cartoon style transfer via dynamic cartoon style casting

Z Zhang, J Sun, J Chen, L Zhao, B Ji, Z Lan, G Li… - Neurocomputing, 2023 - Elsevier
The cartoon style transfer has attracted widespread attention. Although many researchers
have proposed various methods to develop this field, there are still two areas for …

Learning an interpretable stylized subspace for 3d-aware animatable artforms

C Zheng, B Liu, X Xu, H Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Throughout history, static paintings have captivated viewers within display frames, yet the
possibility of making these masterpieces vividly interactive remains intriguing. This research …

FISTNet: FusIon of STyle-path generative Networks for facial style transfer

SA Khowaja, L Nkenyereye, G Mujtaba, IH Lee… - Information …, 2024 - Elsevier
With the surge in emerging technologies such as Metaverse, spatial computing, and
generative AI, the application of facial style transfer has gained much interest from …

Intelligent generation of graphical game assets: A conceptual framework and systematic review of the state of the art

K Fukaya, D Daylamani-Zad, H Agius - arXiv preprint arXiv:2311.10129, 2023 - arxiv.org
Procedural content generation (PCG) can be applied to a wide variety of tasks in games,
from narratives, levels and sounds, to trees and weapons. A large amount of game content is …

Face-PAST: Facial pose awareness and style transfer networks

SA Khowaja, G Mujtaba, J Yoon, IH Lee - arXiv preprint arXiv:2307.09020, 2023 - arxiv.org
Facial style transfer has been quite popular among researchers due to the rise of emerging
technologies such as eXtended Reality (XR), Metaverse, and Non-Fungible Tokens (NFTs) …

Cartoondiff: Training-free cartoon image generation with diffusion transformer models

F He, G Li, L Si, L Yan, S Hou… - ICASSP 2024-2024 …, 2024 - ieeexplore.ieee.org
Image cartoonization has attracted significant interest in the field of image generation.
However, most of the existing image cartoonization techniques require re-training models …

Cartoon-Flow: A Flow-Based Generative Adversarial Network for Arbitrary-Style Photo Cartoonization

J Lee, H Kim, J Shim, E Hwang - Proceedings of the 30th ACM …, 2022 - dl.acm.org
Photo cartoonization aims to convert photos of real-world scenes into cartoon-style images.
Recently, generative adversarial network (GAN)-based methods for photo cartoonization …