HMAT restores murals more coherently and faithfully than prior methods by integrating mask-aware dynamic filtering, a transformer bottleneck, style fusion, and gated skip connections.
In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
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High-Fidelity Mural Restoration via a Unified Hybrid Mask-Aware Transformer
HMAT restores murals more coherently and faithfully than prior methods by integrating mask-aware dynamic filtering, a transformer bottleneck, style fusion, and gated skip connections.