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"@context": "https://doi.org/10.5063/schema/codemeta-2.0",
"@type": "SoftwareSourceCode",
"name": "Zero-Shot Video Generation",
"description": "A Zero-Shot Video Generation system developed as a 3rd-Semester Project for the MEng Computer Engineering program. This implementation utilizes PyTorch, Stable Diffusion, and Gradio to transform text prompts into dynamic video content without video-specific training.",
"identifier": "ZERO-SHOT-VIDEO-GENERATION",
"license": "https://spdx.org/licenses/MIT.html",
"programmingLanguage": [
"Python",
"CSS"
],
"author": [
{
"@type": "Person",
"givenName": "Amey",
"familyName": "Thakur",
"id": "https://orcid.org/0000-0001-5644-1575",
"affiliation": {
"@type": "Organization",
"name": "University of Windsor"
}
}
],
"dateReleased": "2023-11-22",
"codeRepository": "https://github.com/Amey-Thakur/ZERO-SHOT-VIDEO-GENERATION",
"developmentStatus": "complete",
"runtimePlatform": [
"Python 3.8+",
"PyTorch",
"CUDA"
],
"applicationCategory": "Machine Learning",
"keywords": [
"Zero-Shot Video Generation",
"Text-to-Video",
"Machine Learning",
"Stable Diffusion",
"PyTorch",
"Gradio",
"Computer Vision",
"MEng Computer Engineering"
]
} |