Video generation
AI video generation uses artificial intelligence to automatically create or edit videos from inputs like text, images, or existing footage, transforming them into new content with minimal human intervention. These systems leverage machine learning and computer vision to understand prompts and generate synchronized visuals, audio, and animations, making video creation more efficient, accessible, and cost-effective for various applications like marketing, education, and entertainment.
Video generation is a key task in computer vision. Below you will find the standard benchmarks used to evaluate models, along with current state-of-the-art results.
Benchmarks & SOTA
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Few-Shot Image Classification
Image classification with limited labeled examples per class (few-shot learning). Models are evaluated on their ability to classify images into categories with only a handful of training examples (typically 1-10) per class.
3D generation
3D generation is the process of using artificial intelligence (AI) to automatically create three-dimensional (3D) models from various inputs like text descriptions or images, bypassing traditional manual modeling. These advanced AI models, often employing techniques like deep learning, can generate complex 3D structures in formats such as meshes or point clouds for use in fields like gaming, augmented reality (AR), and 3D printing.
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