CRColor: Cycle reference learning for exemplar-based image colorization

Puntos clave

• Image colorization accuracy improves significantly using exemplar-based learning techniques.
• A notable performance increase was achieved, demonstrating efficacy in neural network approaches.
• Observational analysis employing cycle reference learning using deep learning frameworks supports advancements in colorization.
• Continued exploration is needed to validate performance across diverse datasets and scenarios.