Answer

Short answer:

Use the Edit tab with Remove Object tool with the Brush or Lasso selector to highlight the object you want to remove. Ensure you select the object’s shadow as well, then click Generate to let the AI fill the space with context-aware background details.

Overview

In architectural visualization, a perfect rendering or site photo is often ruined by a single distraction, a parked car, construction debris, or a person in the wrong place. Traditionally, removing these required complex cloning and stamping in photo-editing software.

Rendair AI handles this through edit, a process where the AI analyzes the surrounding pixels (context) and reconstructs what "should" be behind the removed object. This allows you to clean up visuals in seconds without needing manual texture replication.

How it works

1. Select your image: Open the image you want to clean in the Rendair workspace.

2. Choose the Remove Object or Chat tool: Select the Brush or Lasso tool from the editing toolbar.

3. Mask the object: Draw over the unwanted element. Or in case of Chat tool mention what to remove in text prompt.

• Critical step: Include the shadow or reflection of the object in your selection. If you leave the shadow, the AI will try to put a new object there to cast it.

1. Generate: Confirm the action. The AI will process the masked area and blend it seamlessly with the existing background.

Capabilities

This workflow supports more than just simple erasure. It is designed to maintain the geometric and material logic of architectural scenes.

• Site cleanup: Remove dumpsters, cones, and construction fencing from site photos before overlaying a new design.

• Entourage adjustment: Delete specific people or vehicles that distract from the focal point of a rendering.

• Glitch correction: Fix "floating" objects or texture errors that sometimes occur in raw AI generations.

• Material continuity: The AI automatically aligns brick patterns, pavement lines, and grass textures when filling the empty space.

When to use this

• Client presentations: When a site photo has distracting elements that lower the perceived value of the location.

• Design development: When you need to clear a space in a render to test a different furniture arrangement or planting scheme.

• Marketing assets: When you need to remove a specific brand logo or sign from a commercial street view.

Limitations or notes

• Shadows matter: The most common error is removing a person but leaving their shadow. The AI often interprets this as a "dark stain" or generates a new object to justify the shadow.

• Large areas: Removing very large objects (like a building covering 50% of the view) may result in "hallucinations" where the AI invents incorrect geometry. It is often better to remove large objects in smaller sections.

• Resolution: For the cleanest results on 4K or 8K images, consider removing objects at the native generation size first, then upscaling the clean image afterwards.

• Always take the shadow. If you leave the shadow, the AI will fight to keep it.

• Brush slightly outside the lines. Give the AI a small buffer of "clean" pixels around the object so it understands the texture it needs to replicate.