The author proposes the HDRTransDC network to address ghosting artifacts and fusion distortions in HDR imaging by utilizing Transformer Deformation Convolution. The approach involves extracting long-distance content and adaptively fusing multi-exposed features to achieve state-of-the-art performance.
Efficient and effective HDR deghosting achieved through hierarchical representation and progressive aggregation.
提案されたHDRTransDCネットワークは、高品質なHDR画像を生成するために、参照画像と非参照画像の複雑な整列および融合関係を確立します。