Text-based Image Editing
22 papers with code • 1 benchmarks • 2 datasets
Benchmarks
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Libraries
Use these libraries to find Text-based Image Editing models and implementations
PIE-Bench
Most implemented papers
Doubly Abductive Counterfactual Inference for Text-based Image Editing
xuesong39/dac
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Through the lens of the formulation, we find that the crux of TBIE is that existing techniques hardly achieve a good trade-off between editability and fidelity, mainly due to the overfitting of the single-image fine-tuning.
Paint by Inpaint: Learning to Add Image Objects by Removing Them First
We address this by leveraging the insight that removing objects (Inpaint) is significantly simpler than its inverse process of adding them (Paint), attributed to the utilization of segmentation mask datasets alongside inpainting models that inpaint within these masks.
