Can I remove objects or people from images?

Answer

Short answer:

Yes, you can remove unwanted elements from your visuals using Rendair AI. The platform includes specific selection tools, such as a brush or lasso, that allow you to highlight objects, people, or clutter and remove them seamlessly.

Overview

In architectural visualization and interior design, the perfect shot is often cluttered with distractions. Whether it is a site photograph filled with construction debris or a generated render where a person is standing in the wrong spot, post-processing is essential.

Rendair AI integrates object removal directly into the workflow. This capability allows you to clean up images without needing to export files to external photo editing software or re-render an entire scene from scratch. The goal is to reduce friction, allowing you to move from a rough concept to a polished presentation image quickly.

How it works

The process uses generative inpainting to analyze the selected area and fill it based on the surrounding context.

1. Select your image: You can edit a visual you just generated or upload an existing photograph (JPG, PNG, WEBP, HEIC).

2. Choose the tool: Select the editing mode and use the brush or lasso tool to mask the object you want to remove.

3. Process the edit: Once the area is highlighted, the AI analyzes the pixels around the selection to understand the lighting, perspective, and texture.

4. Result: The system generates a new version of the image where the object is replaced by background details that match the scene.

What you can do

This feature is designed to handle common visual obstructions found in design workflows.

• Clear site photographs: Remove existing furniture, trash, or construction materials from "before" photos to help clients visualize potential.

• Refine AI generations: Occasionally, a generated image may include an artifact or a person in an awkward pose. You can remove these without changing the rest of the design.

• Protect privacy: Quickly remove recognizable faces or license plates from site documentation before sharing it publicly.

• Adjust composition: Delete cars or trees that block important architectural details in your elevations or perspectives.

Inputs and outputs

Inputs

• Source files: You can edit images generated within Rendair or upload your own files (up to 10MB).

• Formats: Supported uploads include JPG, PNG, WEBP, TIFF, HEIC, and AVIF.

Outputs

• Resolution: The output generally maintains the aspect ratio and resolution of the base image.

• File type: Edited images are saved to your workspace and can be downloaded or used as a base for further variations.

When to use this

• Renovation pitches: When showing a client a "clean slate" version of their current cluttered space.

• Marketing preparation: When a render is 95% perfect but contains one distracting element that draws the eye away from the architecture.

• Quick iterations: When you want to test how a space looks without specific furniture pieces before committing to a full redesign.

Limitations or notes

• Context interpretation: The AI infers what lies behind the removed object. If the background is highly complex or specific (like a detailed mural), you may need to run the generation a few times to get a seamless result.

• Plan usage: Editing actions consume credits. These credits do not expire as long as you have an active subscription.

• Structural accuracy: While the AI is excellent for visualization, it fills gaps based on visual logic, not structural data. It creates plausible backgrounds, not necessarily factually accurate ones (e.g., guessing what a wall looks like behind a large cabinet).