This article introduces a new lighting estimation method called DiffusionLight, which utilizes the Stable Diffusion XL (SDXL) diffusion model to generate chrome spheres to estimate lighting in images. This technology has a wide range of application prospects, such as virtual object insertion, AR/VR enhancement, architectural visualization, game scene rendering, and precise planning for photography and movies. DiffusionLight processes the initial noise map generated by SDXL through iterative repair technology, and finally generates a high-quality HDR chrome sphere, thereby achieving realistic lighting evaluation. Its efficiency and simplicity make it an important technological breakthrough in the fields of image processing and 3D modeling.
DiffusionLight is a method of estimating lighting in an image via a generated chrome sphere. Using the Stable Diffusion XL (SDXL) diffusion model, researchers have developed a simple and efficient technique that can be used for virtual object insertion into images, AR and VR enhancement, architectural interior design visualization, more realistic scenes in computer games, and photography and More accurate planning in the movie. The DiffusionLight method uses iterative repair technology to process the initial diffusion noise map generated by SDXL to generate a consistent quality chrome sphere, and then generate an HDR chrome sphere to provide realistic lighting evaluation.
All in all, the DiffusionLight method provides a novel and efficient solution for image illumination estimation, with great application potential and is expected to bring significant improvements in multiple fields. In the future, this method is expected to be further refined and optimized to achieve more accurate and refined lighting assessment.