spatial structure
In AI, this refers to the organization and correlation of data points or features in a spatial domain, which can affect how models process information, particularly in domains like computer vision where spatial relationships are critical for understanding context.
- BridgeVLA: Input-Output Alignment for Efficient 3D Manipulation Learning with Vision-Language Models
- Differentiable Hierarchical Visual Tokenization
- FracFace: Breaking The Visual Clues—Fractal-Based Privacy-Preserving Face Recognition
- Hawk: Leveraging Spatial Context for Faster Autoregressive Text-to-Image Generation
- SAMPO: Scale-wise Autoregression with Motion Prompt for Generative World Models
- STRIDER: Navigation via Instruction-Aligned Structural Decision Space Optimization