Overview
Text-to-3D models generate 3D geometry directly from a natural language description. TRELLIS supports text conditioning via the same SLAT pipeline as its image variant; shap-e (OpenAI) generates implicit neural representations from text; BrickGPT specializes in generating LEGO-like brick structures from text prompts.
Agent Scenarios
- Creative content agent: generate 3D scene elements (characters, props, environments) from a designer's text description for prototyping
- Game / metaverse asset agent: instantly produce game-ready geometry from narrative prompts without a 3D artist in the loop
- Education / toy design agent: use BrickGPT to generate brick-by-brick building instructions from a text description of a structure
- Concept visualization agent: turn a product brief into a rough 3D mockup for early-stage design review
ModelKit Integration
Models must pass the full wmk pipeline on all EPs:
wmk config → wmk build (ONNX export) → wmk perf → wmk eval
Acceptance Criteria
Overview
Text-to-3D models generate 3D geometry directly from a natural language description. TRELLIS supports text conditioning via the same SLAT pipeline as its image variant; shap-e (OpenAI) generates implicit neural representations from text; BrickGPT specializes in generating LEGO-like brick structures from text prompts.
Agent Scenarios
ModelKit Integration
Models must pass the full wmk pipeline on all EPs:
Acceptance Criteria