Steerable Scene Generation
What it is
A framework for generating 3D scenes with specific semantic and geometric properties using diffusion models. It employs post-training and inference-time search to allow for precise control over scene layout and object placement.
The problem it solves
Difficulty in generating 3D scenes that are both diverse and precisely controllable for robot learning and simulation.
What you could use it for
- Generating diverse 3D environments for robot training
- Creating high-fidelity 3D scenes with specific language descriptions
- Simulating complex indoor environments with varied object distributions
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.