Image Modeling Application

Azati developed a mobile and web application for an interior design agency that allows users to instantly change room wallpapers on photos taken with their smartphones. The application leverages AI and computer vision to perform semantic segmentation and realistic visualization of wallpaper replacements.

Discuss an idea
Seconds

required to generate a photorealistic wallpaper preview

95%

accuracy of semantic segmentation

100+

wallpaper variations instantly visualized per room photo

All Technologies Used

Python
Python
OpenCV
OpenCV
Theano
Theano
Caffe
Caffe

Motivation

The client needed to eliminate long and costly 3D rendering cycles that delayed approvals and frustrated customers, while also overcoming the limitations of existing design apps that worked only with preset interiors. They wanted a fast, intuitive tool that could instantly visualize new wallpapers on any user-uploaded photo, helping clients make confident decisions and reducing the agency’s manual effort for repeated design iterations.

Main Challenges

Challenge 01
Lengthy 3D Rendering Delays

Clients frequently request realistic previews of interior designs, particularly with new wallpapers, but traditional 3D rendering takes several days and is expensive. Azati proposed creating a lightweight AI-based application capable of delivering realistic results in seconds using a smartphone camera, reducing time and cost while maintaining high visual quality.

#1
Challenge 02
Limited Customization in Design Apps

Existing mobile apps only work with predefined interior images and offer very limited customization, failing to meet client expectations. Azati suggested implementing semantic segmentation and lighting-aware rendering, allowing the application to model any user-uploaded photo and apply wallpapers realistically for a fully personalized interior preview.

#2
Challenge 03
Complex Semantic Segmentation

Detecting and separating room elements such as walls, floors, ceilings, niches, arches, and furniture is technically challenging. Azati designed AI algorithms that accurately segment all structural and decorative components to ensure correct placement of wallpapers and realistic depth perception in the final image.

#3
Challenge 04
Lighting and Depth Consistency

Applying wallpapers convincingly requires realistic lighting and depth adjustments. Azati introduced advanced lighting and depth analysis to adapt wallpapers naturally to the room’s existing illumination, preventing artificial-looking results and ensuring photorealistic previews.

#4

Our Approach

Cross-Platform Application Design
Developed a single application compatible with both smartphones and web browsers, maximizing accessibility and allowing users to visualize wallpapers anytime and anywhere.
Semantic Segmentation with AI
Implemented AI-driven semantic segmentation to detect room structures, walls, floors, ceilings, and decorations accurately, forming the foundation for realistic wallpaper replacement.
Lighting and Depth Optimization
Incorporated lighting and depth analysis to ensure new wallpapers blend seamlessly with existing room conditions, preserving shadows, highlights, and geometry for photorealistic results.
Real-Time Visualization Interface
Designed an intuitive interface enabling users to experiment with multiple wallpaper options instantly, providing interactive previews and simplifying decision-making.
Instant Photo-Based Rendering
Enabled immediate application of wallpapers to user-uploaded photos, reducing visualization time from days to seconds and significantly streamlining the client approval process.

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Solution

01

Real-Time Visualization

Allows users to instantly replace wallpapers on uploaded photos without manual editing, giving immediate feedback on interior design choices.
Key capabilities:
  • Instantly change wallpapers on smartphone photos
  • Preview multiple options interactively
  • No need for external 3D rendering software
  • Facilitates quick design decision-making
02

AI-Powered Semantic Segmentation

Detects structural elements like walls, floors, ceilings, niches, arches, and furniture, ensuring that wallpapers are applied accurately and realistically.
Key capabilities:
  • Automatically identifies all room surfaces
  • Accurately applies wallpapers to complex structures
  • Supports diverse room layouts and elements
  • Improves realism and reduces manual editing
03

Smart Lighting & Depth Detection

Analyzes lighting and depth to ensure wallpapers blend naturally with existing room conditions, maintaining shadows, highlights, and perspective for a photorealistic effect.
Key capabilities:
  • Adjust wallpapers according to existing light sources
  • Preserve realistic depth and perspective
  • Ensure natural integration with furniture and decor
  • Enhance visual accuracy for decision-making
04

Multiple Wallpaper Options

Provides a variety of colors, textures, and patterns for wallpapers, enabling users to explore design alternatives and select the best visual fit for their space.
Key capabilities:
  • Access a wide range of wallpaper designs
  • Compare multiple options in real-time
  • Support custom pattern uploads
  • Facilitate creative experimentation and planning

Business Value

Time Efficiency: Reduced interior visualization time from days to seconds, streamlining the client approval process.

Enhanced Customer Experience: Enabled clients to interactively test design options and make decisions faster.

Digital Innovation in Design: Replaced traditional 3D rendering with accessible AI-based modeling, democratizing design visualization.

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