text_to_video_generation
Conditional VAE-GAN for Realistic Text-to-Video Synthesis with Enhanced Temporal Coherence
Science Score: 44.0%
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Low similarity (9.7%) to scientific vocabulary
Repository
Conditional VAE-GAN for Realistic Text-to-Video Synthesis with Enhanced Temporal Coherence
Basic Info
- Host: GitHub
- Owner: ankitkomar1
- Default Branch: main
- Size: 11.7 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Conditional VAE-GAN for Realistic Text-to-Video Synthesis with Enhanced Temporal Coherence
Overview
This repository contains the source code and dataset for our research paper:
Title: Conditional VAE-GAN for Realistic Text-to-Video Synthesis with Enhanced Temporal Coherence
Authors: Ankit Kumar et al.
Journal: The Visual Computer
Year: 2024
DOI: 10.xxxx/xxxxxx
Citation
If you use this code or dataset, please cite the following paper:
Ankit Kumar et al., "Conditional VAE-GAN for Realistic Text-to-Video Synthesis with Enhanced Temporal Coherence," The Visual Computer, 2024.
BibTeX format
bibtex
@article{kumar2024vae-gan,
author = {Ankit Kumar and others},
title = {Conditional VAE-GAN for Realistic Text-to-Video Synthesis with Enhanced Temporal Coherence},
journal = {The Visual Computer},
year = {2024},
doi = {10.xxxx/xxxxxx}
}
Dataset and Code
The full source code and dataset are available at:
📌 GitHub Repository: GitHub Link
📌 Dataset: Dataset Link
Installation
To run the model, install the dependencies using:
bash
pip install -r requirements.txt
License
This project is licensed under the MIT License.
How to Use
- Clone this repository:
bash git clone https://github.com/your-repo-link cd your-repo-link - Install dependencies:
bash pip install -r requirements.txt - Run the model:
bash python train.py
For further details, check the README.md file in the repository.
Owner
- Login: ankitkomar1
- Kind: user
- Repositories: 1
- Profile: https://github.com/ankitkomar1
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this code, please cite our paper:"
authors:
- family-names: Kumar
given-names: Ankit
affiliation: Guru Ghasidas Vishwavidyalaya, Bilaspur
title: "Conditional VAE-GAN for Realistic Text-to-Video Synthesis with Enhanced Temporal Coherence"
version: "1.0"
doi: "10.xxxx/xxxxxx" # Replace with actual DOI if available
date-released: "2024-02-15"
preferred-citation:
type: article
title: "Conditional VAE-GAN for Realistic Text-to-Video Synthesis with Enhanced Temporal Coherence"
author: "Ankit Kumar et al."
journal: "The Visual Computer"
year: 2024
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