# Zoe Depth Map Canonical page: https://fuser.studio/models/zoe-depth-map Zoe Depth Map in Fuser estimates metric depth from a single photo. Use the depth map for ControlNet, relighting or 3D steps on the same node canvas. ## Specs | Spec | Value | | --- | --- | | Inputs | Image | | Output | image | | Cost | 10 credits per run | Extract high-precision metric depth maps with crisp spatial boundaries and linear distance scaling for 3D displacement and ControlNet workflows Creator: Intel Labs Also known as: Zoe [Extract Depth Map](https://app.fuser.studio) ## How Zoe Depth Map works From standard photograph to metric depth map in three frictionless steps. ### Upload source image Select an input photograph with defined spatial depth, layered subjects, or architectural perspective. ### Process metric depth The transformer backbone dynamically routes indoor and outdoor cues to compute millimeter-accurate linear distance. ### Export depth pass Download the high-contrast depth map for ControlNet conditioning, 3D mesh displacement, or spatial VFX. ## What Zoe Depth Map is good at Explore how hybrid relative-metric estimation and automated scene routing deliver unrivaled spatial fidelity. ### Relative and Metric Fusion Combines metric distance accuracy with relative depth generalization, preserving true physical proportions across layered spatial planes without geometric distortion. ### Complex Overlap Resolution Isolates tightly overlapping foreground elements such as crossed arms, splayed fingers, and layered props with razor-sharp volumetric boundaries. ### Intelligent Scene Routing Automatically routes inputs to dedicated indoor (NYU Depth v2) or outdoor (KITTI) metric heads based on latent scene classification without manual intervention. ### 3D Displacement Precision Generates high-contrast linear grayscale depth values that map distance directly to physical height fields for Blender, Unreal Engine, and Maya. ## Made with Zoe Depth Map A visual gallery demonstrating crisp geometric plane isolation, complex limb depth resolution, and surface displacement across diverse subjects. ### Granular grayscale depth data ready for complex objects and scenes ### Distance-accurate depth plates ready for 3D generation ### Multiple object interaction and scene depth mapping ### Fractured ceramic sculpture with tactile surface detail ### High-contrast luxury fashion silhouette with color pop ## What people build with Zoe Depth Map See how 3D generalists, VFX compositors, and AI creators harness metric depth for precise spatial conditioning. ### Architectural spatial reconstruction Translate flat 2D architectural photographs into geometrically accurate 3D scene geometry, retaining exact floor-to-ceiling planes and window recess depths. ### Displacement mapping for 3D meshes Convert photorealistic surface photographs into displacement and height maps for Blender, Unreal Engine, and Maya with clean linear depth falloff. ### Pose and spatial ControlNet guidance Supply downstream generative models with clean spatial maps that preserve complex human limb intersections and hand foreshortening without prompt bleed. ### Z-depth passes for post-production Generate instant Z-depth channels from live-action footage stills to drive realistic lens blur, atmospheric haze, and particle layering in compositing suites. ### E-commerce product depth extraction Isolate product layers and extract physical volume contours for interactive 3D web viewers and augmented reality product previews. ## Frequently asked questions ### Is Zoe Depth the same as ZoeDepth? Yes, Zoe is the common shorthand for ZoeDepth (Zero-shot Transfer by Combining Relative and Metric Depth), a monocular depth estimation architecture developed by Intel Labs and KAUST. ### What makes ZoeDepth different from traditional depth estimators like MiDaS? ZoeDepth fuses metric depth estimation with relative depth generalization. Unlike older preprocessors that generate soft, ambiguous depth blobs, ZoeDepth dynamically routes images to indoor or outdoor metric heads to compute linear, physically accurate distance values along the Z-axis. ### What inputs and workflows work best with ZoeDepth? ZoeDepth is ideal for images with distinct foreground-to-background separation, deep interior or exterior architectural perspective, and complex overlapping limbs or hands. It is widely used to create 3D displacement maps in software like Blender and precise ControlNet reference guides. ### When should I avoid using ZoeDepth? Avoid ZoeDepth on flat 2D illustrations, unshaded vector graphics, and extreme fish-eye lens photos, as these lack the perspective cues required for metric depth prediction. For simple background segmentation or high-speed processing, lighter alternatives like LeReS are better suited. ### Who created ZoeDepth and when was it released? ZoeDepth was created by researchers at Intel Labs and KAUST and initially released in February 2023. It introduced a Dense Prediction Transformer architecture with a BEiT backbone and metric bins module for zero-shot metric depth transfer. ## Try Zoe Depth Map on Fuser Extract high-precision metric depth maps with crisp spatial boundaries and linear distance scaling for 3D displacement and ControlNet workflows [Extract Depth Map](https://app.fuser.studio) ## Related models - [Gemini Image](https://fuser.studio/models/gemini-image.md) - [GPT Image](https://fuser.studio/models/gpt-image.md) - [Seedream](https://fuser.studio/models/seedream.md) - [FLUX.3 Image](https://fuser.studio/models/flux-3-image.md) - [FLUX.2](https://fuser.studio/models/flux-2.md) - [ESRGAN Upscaler](https://fuser.studio/models/esrgan-upscaler.md) Node reference: [Zoe Depth Map docs](https://docs.fuser.studio/docs/nodes/image/zoe-depth-map.md)