Synthesis Task

Synthesis tasks in computer vision aim to generate novel visual content based on given conditions, such as text descriptions or existing images. Current research heavily utilizes diffusion models, often enhanced with techniques like cycle consistency or shape guidance, to achieve high-quality results across diverse applications including image-to-image translation, virtual try-on, and 3D human digitization. Evaluation of these models is an active area, with a focus on developing explainable metrics that correlate well with human judgment. These advancements have significant implications for various fields, enabling more realistic and efficient content creation in areas like entertainment, design, and virtual reality.