AI-Based 360° Vehicle Image Generation System (Interior & Exterior)
Budget: $250 – $750 USD
I am building a data-driven automotive platform and currently have millions of vehicle images collected from various sources.
I am looking for an experienced developer to build an automated system that generates 360-degree vehicle views (both exterior and interior) from these images.
The final output will be used on a website where users can interactively explore a car (rotate view, zoom, and navigate inside the vehicle).
⸻
Project Goals
* Generate 360° exterior views of vehicles from multiple images
* Generate 360° interior views (dashboard, seats, etc.)
* Allow interactive rotation (mouse/touch control) on the frontend
* Automatically process new incoming vehicle data daily
* Ensure scalability (millions of images)
⸻
Scope of Work
1. Image Processing & Matching
* Group images belonging to the same vehicle listing
* Detect angles (front, rear, side, interior, etc.)
* Filter duplicates and low-quality images
* Normalize image size, lighting, and orientation
2. 360° View Generation
* Create frame sequences or stitched 360 views
* Handle cases with missing angles (use interpolation or AI if possible)
* Optional: Use AI models for realistic rendering
3. Backend Automation
* Build a pipeline that:
* Runs daily (cron/job scheduler)
* Processes only newly added vehicles
* Stores generated outputs efficiently
5. Frontend Viewer Integration
* Provide output compatible with web viewers such as:
* Three.js
* WebGL viewers
* Existing 360 viewer libraries
* Smooth rotation and good performance on both desktop and mobile
I am looking for an experienced developer to build an automated system that generates 360-degree vehicle views (both exterior and interior) from these images.
The final output will be used on a website where users can interactively explore a car (rotate view, zoom, and navigate inside the vehicle).
⸻
Project Goals
* Generate 360° exterior views of vehicles from multiple images
* Generate 360° interior views (dashboard, seats, etc.)
* Allow interactive rotation (mouse/touch control) on the frontend
* Automatically process new incoming vehicle data daily
* Ensure scalability (millions of images)
⸻
Scope of Work
1. Image Processing & Matching
* Group images belonging to the same vehicle listing
* Detect angles (front, rear, side, interior, etc.)
* Filter duplicates and low-quality images
* Normalize image size, lighting, and orientation
2. 360° View Generation
* Create frame sequences or stitched 360 views
* Handle cases with missing angles (use interpolation or AI if possible)
* Optional: Use AI models for realistic rendering
3. Backend Automation
* Build a pipeline that:
* Runs daily (cron/job scheduler)
* Processes only newly added vehicles
* Stores generated outputs efficiently
5. Frontend Viewer Integration
* Provide output compatible with web viewers such as:
* Three.js
* WebGL viewers
* Existing 360 viewer libraries
* Smooth rotation and good performance on both desktop and mobile