Exploring Generative Adversarial Networks: Comparative Analysis of Facial Image Synthesis and the Extension of Creative Capacities in Artificial Intelligence
Neural networks have become foundational in modern technology, driving advancements across diverse domains such as medicine, law enforcement, and information technology. By enabling algorithms to learn from data and perform tasks autonomously, they eliminate the need for explicit programming. A sign...
Saved in:
Main Authors: | Tomas Eglynas, Dovydas Lizdenis, Aistis Raudys, Sergej Jakovlev, Miroslav Voznak |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10845784/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Le regard impossible
by: Mathias Kusnierz
Published: (2019-09-01) -
Robust image hashing method from global perception features of human visual cortex
by: SUN Rui1, et al.
Published: (2011-01-01) -
Similarity and quality metrics for MR image-to-image translation
by: Melanie Dohmen, et al.
Published: (2025-01-01) -
Semantic Image Synthesis via Class-Adaptive Cross-Attention
by: Tomaso Fontanini, et al.
Published: (2025-01-01) -
TPG image compression technology
by: Shitao WANG, et al.
Published: (2017-08-01)