Comprehensive Evaluation Framework for Causal Counterfactual Image Generation

This paper introduces a comprehensive framework to extensively evaluate the performance of published methods for causal counterfactual image generation, considering diverse aspects such as composition, effectiveness, realism, and minimality of interventions.