Photorealistic Style Transfer with Screened Poisson Equation
This addresses the issue of distortions in photorealistic style transfer for applications in image editing and computer graphics, though it is incremental as it builds on existing stylization techniques.
The paper tackles the problem of making stylized images more photorealistic by using the Screened Poisson Equation to maintain fidelity while constraining gradients to the original input, resulting in outputs with finer details and fewer artifacts than state-of-the-art methods.
Recent work has shown impressive success in transferring painterly style to images. These approaches, however, fall short of photorealistic style transfer. Even when both the input and reference images are photographs, the output still exhibits distortions reminiscent of a painting. In this paper we propose an approach that takes as input a stylized image and makes it more photorealistic. It relies on the Screened Poisson Equation, maintaining the fidelity of the stylized image while constraining the gradients to those of the original input image. Our method is fast, simple, fully automatic and shows positive progress in making a stylized image photorealistic. Our results exhibit finer details and are less prone to artifacts than the state-of-the-art.