Learning to Follow Object-Centric Image Editing Instructions Faithfully (2023.findings-emnlp)
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| Challenge: | avrahami et al., 2022b,a): natural language instructions are often underspecified, requiring models to uncover their implicit meaning. |
| Approach: | They propose to use paired data to model the implicit meaning of instructions . they also propose to ground the model to localize where the edit has to be performed . |
| Outcome: | The proposed model performs better than state-of-the-art baselines on paired data, showing improvements in quality and faithfulness. |
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