Tiled Diffusion: Seamless Image Tiling with AI | CVPR 2025 скачать в хорошем качестве

Tiled Diffusion: Seamless Image Tiling with AI | CVPR 2025

Tiled Diffusion: Generating Seamlessly Tileable Images using Diffusion Models We present a novel approach that extends diffusion models to create seamlessly tileable images across complex scenarios - from simple self-tiling to advanced many-to-many connections that no previous method could handle. 🔥 Key Features: Works directly in latent space during generation Supports all tiling scenarios (self-tiling, one-to-one, many-to-many) Enables 360° panorama synthesis Creates tileable textures from text prompts Makes existing images seamlessly tileable Compatible with Stable Diffusion, SDXL, SD3, and ControlNet 🎯 Applications: Video game asset creation Texture synthesis for 3D modeling Digital art and pattern design Panoramic image generation 📄 Paper & Resources: Project webpage: https://tinyurl.com/7pzs3spt (Includes full paper, code, supplementary materials, and additional results) Presented at CVPR 2025 | Computer Vision & Graphics Lab, Reichman University #CVPR2025 #DiffusionModels #ComputerVision #AI #TextureGeneration #ImageSynthesis