AI image processing

Colorful Diffuse Intrinsic Image Decomposition is an image processing technique that decomposes photos taken in the wild into albedo, diffuse shadows, and non-diffuse residual components. This technique enables the estimation of colorful diffuse shadows in images by progressively removing monochromatic lighting and Lambertian world assumptions, including multiple lighting and secondary reflections in the scene, while modeling specular and visible light sources. This technology is important for image editing applications such as specular removal and pixel-level white balancing.

opencv_contrib is an additional module library for OpenCV used to develop and test new image processing functions. These modules are usually integrated into the OpenCV core library after the API is stable, fully tested, and widely accepted. This library allows developers to use the latest image processing technology, driving innovation in the field of computer vision.

Dpt Depth is an image processing tool based on Dpt depth estimation and 3D technology. It can quickly estimate depth information from input images and generate corresponding three-dimensional models based on depth information. Dpt Depth Estimation + 3D is powerful and easy to use, and can be widely used in computer vision, image processing and other fields. The product is available in a free trial version and a paid subscription version.