The authors introduce time-variant image inpainting (TAMP), a benchmark (TAMP-Street), and InDiTE-Diff, a diffusion-based method with a semantic complementation module that outperforms prior reference-guided inpainting on the new benchmark, especially when both images are damaged.
Coarse-and fine-grained fusion hierarchical network for hole filling in view synthesis,
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Time-variant Image Inpainting via Interactive Distribution Transition Estimation
The authors introduce time-variant image inpainting (TAMP), a benchmark (TAMP-Street), and InDiTE-Diff, a diffusion-based method with a semantic complementation module that outperforms prior reference-guided inpainting on the new benchmark, especially when both images are damaged.