Advancing Interior Design with AI: Controllable Stable Diffusion for Panoramic Image Generation

Advancing Interior Design with AI: Controllable Stable Diffusion for Panoramic Image Generation

Blog Article

AI-driven technologies have significantly advanced panoramic image generation in interior design; however, existing methods often lack controllability and consistency in rendering tenga air-tech regular high-quality, coherent panoramas.To address these limitations, the study proposes CSD-Pano, a controllable and stable diffusion framework tailored for panoramic interior design generation.The study also introduces PSD-4, a curated dataset of panoramic scenes covering diverse interior decoration styles to support training and evaluation.CSD-Pano enables fine-grained control over aesthetic attributes, layout coherence, and stylistic consistency.Furthermore, the study designs a panoramic loss function 1994 toyota camry green that enhances spatial coherence, geometric alignment, and perceptual fidelity.

Extensive qualitative and quantitative experiments demonstrate that CSD-Pano achieves superior performance compared to existing baselines, with significant improvements in SSIM and LPIPS metrics.These results validate the effectiveness of our approach in advancing automated panoramic interior design.