The invention provides a space intelligent non-planar reflection generation method based on surface normal guidance. Extracting multi-layer visual representation from an original
RGB image containing a non-planar reflection medium scene, and identifying a non-planar reflection area by combining brightness distribution of the original
RGB image and a spatial symmetry relation; analyzing non-linear deformation features of textures in the non-planar reflection area, and predicting pixel-level three-dimensional surface normal vectors and confidence distribution in combination with multi-layer visual representation to construct a surface normal graph; determining a line-of-
sight vector based on a camera imaging model, and executing geometrical
optical mapping operation on the line-of-
sight vector, the surface normal graph and the confidence distribution to construct a reflection offset field; extracting an intermediate
semantic feature representation corresponding to the non-planar reflection region, and generating a pre-
distortion reflection feature representation according to the reflection offset field and the intermediate
semantic feature representation; and injecting the pre-
distortion reflection feature representation, the multi-layer visual representation and the initial reflection area
mask into a
generative model for image reconstruction, and generating a non-planar reflection image.