Systems and methods for selective replacement of objects in images

A method for selective replacement of an object in an image, the method comprising:

• receiving as input at an interface an original image and a background image;
• detecting one or more objects in the original image with a neural network;
• generating a neural network mask of the original image for the one or more objects in the original image;
• generating a filtered original image, the filtered original image including the original image without the one or more objects;
• generating a modulated background image, the modulated background image including a replacement background based on the neural network mask;
• and
• generating a combined image, the combined image including the filtered original image combined with the modulated background image.

A non-transitory computer-readable medium storing instructions at least for selective replacement of an object in an image that are executable by a processing device, wherein execution of the instructions by the processing device causes the processing device to:

• receive as input at an interface an original image and a background image;
• detect one or more objects in the original image with a neural network;
• generate a neural network mask of the original image for the one or more objects in the original image;
• generate a filtered original image, the filtered original image including the original image without the one or more objects;
• generate a modulated background image, the modulated background image including a replacement background based on the neural network mask;
• and
• generate a combined image, the combined image including the filtered original image combined with the modulated background image.