RMLer: Synthesizing Novel Objects across Diverse Categories via Reinforcement Mixing Learning

The article introduces RMLer, a method for generating novel objects across various categories using Reinforcement Mixing Learning. The focus is on the synthesis of new objects, suggesting a generative AI approach. The source being ArXiv indicates this is a research paper, likely detailing the methodology, experiments, and results of the proposed RMLer system.