

Virag AI Catalog
We designed a bespoke 3D + AI pipeline for Virag, giving full creative control over interiors featuring their flooring. From scene setup to infinite parquet textures, we scaled the system to hundreds of catalog SKUs cutting shooting costs by 80% and time by over 60%.
The New Way to Shoot Surfaces
Challenge
The challenge was scaling beauty and precision across an enormous product range. Traditional shooting made that impossible too expensive, too slow, too rigid. We needed to create a pipeline that could reproduce the tactile realism of Virag’s floors while giving total creative control over every visual parameter.
The AI-Driven Production Engine
We built a custom digital workflow that reconstructs interior scenes in 3D with total creative freedom. Every asset furniture, lighting, materials was generated in AI and refined in Blender. The flooring area was masked and reimagined using two AI models: one to create seamless “infinite” parquet textures, and another to map them into the scene respecting light and perspective. Once perfected, the system scaled across Virag’s entire catalog, producing consistent, photoreal renders at industrial speed.
Infinite Floors, Zero Limits
With this system, Virag can now visualize hundreds of products in photoreal environments without a single physical shoot. Costs dropped by over 80%, production time by more than 60%, and creative freedom reached a new level. Every render is unique, consistent, and ready for web, print, or catalog in seconds.
When Production Becomes a Platform
Virag’s new workflow redefines content creation for product-based brands. By merging AI generation, 3D control, and automation, production becomes a scalable system not a one-time shoot. The future of brand storytelling lies in this shift: building visual engines that can create, adapt, and grow on demand.
Talk to our specialist
We’ll walk you through real workflows, relevant case studies, and sample outputs tailored to your category, then wrap with a Q&A to align on goals and next steps.












