depth map control

**Depth map control** is the **conditioning approach that uses per-pixel depth estimates to guide scene geometry and spatial relationships** - it improves three-dimensional consistency in generated images. **What Is Depth map control?** - **Definition**: Depth map encodes relative distance, helping model place objects in plausible perspective. - **Input Sources**: Depth can come from monocular estimators, sensors, or rendered scene assets. - **Control Scope**: Influences layout, scale relations, and foreground-background separation. - **Task Fit**: Useful in environment design, AR content, and cinematic composition workflows. **Why Depth map control Matters** - **Spatial Coherence**: Reduces flat or inconsistent perspective common in text-only generation. - **Layout Reliability**: Improves object placement in complex multi-depth scenes. - **Cross-Modal Utility**: Depth control integrates well with text prompts and style references. - **Editing Power**: Supports scene-preserving restyling while keeping depth structure fixed. - **Input Risk**: Incorrect depth estimates can impose unrealistic geometry. **How It Is Used in Practice** - **Depth Quality**: Use robust depth estimators and post-process noisy maps. - **Normalization**: Apply consistent depth scaling between preprocessing and inference. - **Hybrid Controls**: Pair depth with edge or segmentation controls for stronger structure. Depth map control is **a key geometry-conditioning method for diffusion control** - depth map control is most reliable when depth estimation quality is validated before generation.