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Counterfactual Image Editing
March 18, 2024, 4:41 a.m. | Yushu Pan, Elias Bareinboim
cs.LG updates on arXiv.org arxiv.org
Abstract: Counterfactual image editing is an important task in generative AI, which asks how an image would look if certain features were different. The current literature on the topic focuses primarily on changing individual features while remaining silent about the causal relationships between these features, as present in the real world. In this paper, we formalize the counterfactual image editing task using formal language, modeling the causal relationships between latent generative factors and images through a …
abstract arxiv causal counterfactual cs.cv cs.lg current editing features generative image literature look relationships type world
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