Apr 13, 2023 · This paper proposes a feature fusion-based method for high-quality image inpainting. Current methods cannot model the image texture and ...
We argue that the inadequate learning of global structure and local texture could lead to the artifacts and blur of current models. Inspired by feature fusion ...
We argue that the inadequate learning of global structure and local texture could lead to the artifacts and blur of current models. Inspired by feature fusion ...
Dive into the research topics of 'Rethinking Image Inpainting with Attention Feature Fusion'. Together they form a unique fingerprint. Sort by; Weight ...
Abstract. Deep encoder-decoder based CNNs have advanced image in- painting methods for hole filling. While existing methods recover struc-.
The insufficient utilization of these encoder features hampers the performance of recovering both structures and textures. In this paper, we propose a mutual ...
This paper proposes a multi-level feature fusion method to improve the feature representation for HRRS image retrieval. Firstly, in order to obtain the multi- ...
Apr 6, 2024 · We design a Bi-directional Gated Feature Fusion (Bi-GFF) module to share and combine information between the structure and texture features for ...
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I will re-train our model and update the parameters soon. About Feature equalizations. I think the feature equalizations may can be utlized in many tasks to ...
Missing: Fusion. | Show results with:Fusion.
