The paper presents a Virtual Reality-based feedback system designed to support product design evaluation and customer interaction during the development process. The research proposes a Product-Service System (PSS) workflow integrating VR environments, game engines, 3D modeling, usability testing, and interactive feedback collection to improve communication between designers and users during the early design stages. The methodology combines Autodesk 3DS Max, Unreal Engine, Unity3D, C# scripting, and web-based VR deployment to create immersive environments in which users can interact with virtual products, manipulate materials and geometries, and provide evaluative feedback through integrated usability interfaces. The system is tested through interactive prototypes of industrial design objects, demonstrating how VR and real-time 3D visualization can support iterative product refinement, customer-centered design, and collaborative decision-making within digital product development pipelines.
The paper investigates the evolution of AI-assisted architectural representation from early unpredictable text-to-image generation systems toward more controlled and precise workflows based on Stable Diffusion, ControlNet, and LookX AI. The research analyzes the role of latent spaces, diffusion models, GANs, convolutional neural networks, and AI rendering systems in architectural visualization, emphasizing the transition from exploratory AI image production to controllable design-oriented generation. Through experimental workflows combining Rhinoceros 3D models, ControlNet preprocessors, segmentation maps, depth maps, edge detection, and prompt engineering, the study evaluates how AI systems can support architectural rendering, stylistic control, spatial coherence, and atmosphere generation. The paper compares open-source and cloud-based AI platforms, discussing the balance between creativity, predictability, customization, and architectural precision in contemporary AI-assisted design workflows.
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2_Detail/Sculpture scale