Abstract: A method and an apparatus are provided for providing a dolly zoom effect by an electronic device. A first image with a first depth map and a second image with a second depth map are obtained. A first synthesized image and a corresponding first synthesized depth map are generated using the first image and the first depth map respectively. A second synthesized image and a corresponding second synthesized depth map are generated using the second image and the second depth map respectively. A fused image is generated from the first synthesized image and the second synthesized image. A fused depth map is generated from the first synthesized depth map and the second synthesized depth map. A final synthesized image is generated based on processing the fused image and the fused depth map.

Abstract: An electronic device and method for texturing a three dimensional (3D) model are provided. The method includes rendering a texture atlas to obtain a first set of two dimensional (2D) images of the 3D model; rendering a ground truth texture atlas to obtain a second set of 2D images of the 3D model; comparing the first set of images with the second set of images to determine a rendering loss; applying the texture sampling properties to a convolutional neural network (CNN) to incorporate the rendering loss into a deep learning framework; and inputting a 2D texture atlas into the CNN to generate a texture of the 3D module.

Abstract: A method and an apparatus are provided for providing a dolly zoom effect by an electronic device. A first image with a first depth map and a second image with a second depth map are obtained. A first synthesized image and a corresponding first synthesized depth map are generated using the first image and the first depth map respectively. A second synthesized image and a corresponding second synthesized depth map are generated using the second image and the second depth map respectively. A fused image is generated from the first synthesized image and the second synthesized image. A fused depth map is generated from the first synthesized depth map and the second synthesized depth map. A final synthesized image is generated based on processing the fused image and the fused depth map.