Text-to-3D HyperGen

HyperGen™ Text-to-3D works as follows:

1. Specify object: User queries the MIRAI world builder for a specific object they in need in-world such as a sword.

2. Text Analysis: MIRAI sorts through its own and partners pre-existing database of objects that matches the description of the object requested. If the 3D model is found it is imported to the world.

3. Model Generation: If no pre-existing 3D model is found from the database then the model is generated.

4. Model Optimization: The generated 3D model is optimized for rendering and interaction within the game.

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Let:

• $Q$ be the user query for a specific object.

• $D$ be the database of pre-existing 3D models.

• $M$ be the 3D model of the object.

• $G$ be the function for generating a new 3D model.

• $O$ be the function for optimizing the 3D model.

• $I$ be the function for importing the 3D model into the world.

The process can be described as follows:

Q \rightarrow \text{FindModel}(Q, D) \rightarrow \begin{cases} M & \text{if } M \in D \\ G(Q) \rightarrow O(G(Q)) & \text{if } M \notin D \end{cases} \rightarrow I(M) \

Where:

• $Q$ represents the user query.
• $FindModel(Q, D)$ determines if $M$ exists in the database $D$.
• If $M \in D$, then $M$ is imported directly. If $M \notin D$, then a new model is generated $G(Q)$ and optimized $O(G(Q))$.
• Finally, the model $M$ is imported into the world $I(M)$.