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Text-To-4D

Create realistic 3D-animated videos for education, marketing, and professional purposes effortlessly.

Animation Generators

Text-To-4D is a research method focused on generating dynamic three-dimensional scenes directly from text descriptions using a four-dimensional neural radiance field approach. The system is designed to maintain consistency in both the appearance and motion of objects within the generated scene while querying for optimal density and visual quality. It was developed by a team including Uriel Singer, Shelly Sheynin, and Andrea Vedaldi as part of their MAV3D project which aims to advance dynamic scene generation technology.

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