Jennifer Jung 
The AI tools for architects are one of the most striking and controversial trends in the gaming industry. Modern AI rendering software does not require a lot of computing power from the user. It can forever change the way we think about creating 3D content for games with bright, detailed models, unusual drawings and concepts.
The primary contribution of the SiBiDi tool to the creation of 3D content is to accelerate the generation of ideas and concepts, as well as to foster a brainstorming effect and establish a foundation on which artists can build in the future.
What is AI Rendering?
Visualization rendering tool utilises artificial intelligence to create or enhance 3D images, environments, and animations. Instead of relying solely on traditional rendering, which requires CPU/GPU-intensive calculations, AI rendering software uses machine learning models to simulate lighting, textures, and depth, resulting in faster and more photorealistic results.
Common Examples Of AI 3D Rendering
Here is a general example of using rendering with artificial intelligence:
Architectural visualization
- An AI data Visualization tool for interior design
- Game development and simulation
- Product design layouts
- Movies, VFX, and Animation
How Does Rendering With Artificial Intelligence Work?
Rendering is performed in several stages, enhanced with artificial intelligence:
- Input Model: Import your 3D model or scene.
- Artificial Intelligence scene analysis: The AI software for architects determines geometry, light sources, and materials.
- Optimisation: Artificial intelligence eliminates noise, balances lighting, and simulates realistic textures.
- Real-time output: the final rendering is created quickly and efficiently.
SiBiDi Rendering Visualization in iGaming
The video game industry has always been at the forefront of technological progress, but today, with the advent of neural networks, we are witnessing not just another improvement in graphics or physics, but a real revolution – a fundamental shift in the very paradigm of creating and perceiving games.
AI architectural plans are used for visualisation in the field of online games. Neural networks automate tasks related to the creation of graphics, textures, models, and objects, which allows you to speed up the development process and improve the quality of content.
The Principle Of Operation
Some architectural rendering AI approaches using artificial intelligence for visualisation in games:
- Hybrid approaches. Classical AI tools for interior designers solve the most resource-intensive tasks. For example, DLSS 3.0 technology combines classical interpolation with the generation of intermediate frames by a neural network.
- Neural scaling technology. Instead of rendering a full-size image, the game generates a lower-resolution image, which is then scaled by the AI data visualisation tool to the target resolution with added details.
- The Neural LOD approach (levels of detail based on neural networks). Traditionally, simplified models created manually or using thinning algorithms are used to optimise remote objects. The neural network approach allows you to dynamically generate the optimal level of detail for any distance, while maintaining visual integrity and reducing the load on the GPU.
- Semantic occlusion selection technology. AI architectural design software analyzes the scene and determines which objects will not be visible or invisible to the player, which eliminates the need for the system to process them.
Besides, the best AI for architectural design, such as SiBiDi, changes the very essence of storytelling in video games. They are already able to generate dialogues in real time, turning the game into a truly interactive story, where each of your decisions forms a unique development of events. The game can analyze your preferences, whether you prefer stealthy or open combat, and based on this data, adapt storylines, quests, and even the appearance of locations. As a result, a unique world is created for each player, which feels as if it were originally created specifically for him.
Expert Opinions
In January 2026, NVIDIA CEO Jensen Huang announced that neural rendering is a key development area. Progress will be achieved by performing more architectural AI operations with fewer source pixels. This approach will allow architects and designers to create images in any style – from extreme photorealism to cartoon graphics – with a frequency of hundreds of frames per second.
