Abstract: Systems and methods are provided for generating amodal images from occlusions objects in input images. Examples herein include receiving a prompt selecting an object in an input image; applying the input image to a trained conditional generative model that generates an amodal image of the selected object based on the prompt and the input image; and outputting the amodal image.

Abstract: Systems and methods for detecting occluded objects are disclosed. In one embodiment, a method of determining a shape and pose of an object occluded by an occlusion object includes receiving, by a generative model, a latent vector, and iteratively performing an optimization routine until a loss is less than a loss threshold. The optimization routine includes generating, by the generative model, a predicted object having a shape and a pose from the latent vector, generating a predicted shadow cast by the predicted object, calculating the loss by comparing the predicted shadow with an observed shadow, and modifying the latent vector when the loss is greater than the loss threshold. The method further includes selecting the predicted object as the object when the loss is less than the loss threshold.