| Popis: |
The goal of this thesis is to automate the process of generating 3D dio- rama scenes from a single image. After an extensive analysis of existing approaches, we propose to combine the output of deep learning models for panoptic segmentation and monocular depth estimation. We encountered some limitations of the available depth model for our use case, which we addressed through fine-tuning. To construct the diorama, we separate the objects identified by segmentation into distinct images with transparent back- grounds. These images are placed in a 3D scene, arranged in a way that reflects the estimated depth of each object. We implemented our method as an add-on for Blender. The thesis was developed in collaboration with a company called polygoniq. |
