VG-CGARN: Video Generation Using Convolutional Generative Adversarial and Recurrent Networks
Generating dynamic videos from static images and accurately modeling object motion within scenes are fundamental challenges in computer vision, with broad applications in video enhancement, photo animation, and visual scene understanding. This paper proposes a novel hybrid framework that combines co...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of science and culture
2025-04-01
|
| Series: | International Journal of Web Research |
| Subjects: | |
| Online Access: | https://ijwr.usc.ac.ir/article_221691_14280a8d79682e6da4ec6512fb2d9842.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|