Text-To-4D MAV3D is a technique for creating three-dimensional moving scenes based on text descriptions. Our method utilizes a 4D dynamic Neural Radiance Field (NeRF) that is fine-tuned for scene appearance, density, and motion coherence through interaction with a Text-to-Video (T2V) diffusion-based model.

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The dynamic video output produced from the input text can be observed from various camera positions and perspectives, and seamlessly integrated into any 3D setting. MAV3D operates without the need for 3D or 4D data, and the T2V model is trained solely on Text-Image pairs and unlabelled videos.

Our method employs a 4D dynamic Neural Radiance Field (NeRF) that is designed to ensure scene appearance, density, and motion consistency through interaction with a Text-to-Video (T2V) diffusion-based model.

The dynamic video result produced by the aforementioned approach is adaptable to various camera positions and angles, and can seamlessly integrate into different 3D settings. MAV3D operates without the need for 3D or 4D data, and the T2V model is exclusively trained on Text-Image pairs and unannotated videos.

What is Text-To-4D?

Text-To-4D, the latest innovation from Meta AI’s team, has been unveiled recently. This cutting-edge technology has the ability to generate stunning three-dimensional videos solely based on a basic text description.

What sets MAV3D apart is its utilization of a specialized neural network called a Text-To-4D Dynamic Neural Radiance Field. This network is specifically designed to create incredibly realistic and lifelike scenes.

The true marvel of MAV3D lies in its capability to transform text descriptions into fully immersiveText-To-4D videos that can be experienced from any perspective. Unlike other technologies, Text-To-4D doesn’t rely on pre-existing 3D or 4D data, allowing for the creation of a wide range of dynamic and unique scenes.

The dedicated team behind MAV3D has put in extensive efforts to refine their technology. They have trained the system using a vast dataset of text-image pairs and unlabeled videos. The result is an approach that surpasses previous techniques, as demonstrated through a series of comprehensive experiments.

Thanks toText-To-4D it is now possible to generate 3D dynamic scenes with just a simple text description. This groundbreaking technology is set to revolutionize the way we create and consume video content. Imagine the ability to effortlessly bring any scene or story to life in a more realistic and engaging manner than ever before. The possibilities are truly limitless.

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