text_to_video_generation

Conditional VAE-GAN for Realistic Text-to-Video Synthesis with Enhanced Temporal Coherence

https://github.com/ankitkomar1/text_to_video_generation

Science Score: 44.0%

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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
Created about 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme Citation

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

  1. Clone this repository:
    bash git clone https://github.com/your-repo-link cd your-repo-link
  2. Install dependencies:
    bash pip install -r requirements.txt
  3. Run the model:
    bash python train.py

For further details, check the README.md file in the repository.

Owner

  • Login: ankitkomar1
  • Kind: user

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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