  The goal of this thesis is to present my research contributions towards
solving various visual synthesis and generation tasks, comprising image
translation, image completion, and completed scene decomposition. This thesis
consists of five pieces of work, each of which presents a new learning-based
approach for synthesizing images with plausible content as well as visually
realistic appearance. Each work demonstrates the superiority of the proposed
approach on image synthesis, with some further contributing to other tasks,
such as depth estimation.
