Swst-Net: Semantic-aware wavelet-driven structure and texture interaction network for image inpainting
Lili Shen, Xinglin Wang, Qi Li, Ran Chen et autres
cn (code pays fourni par la source)
0 citations
Multimedia Systems
Lili Shen
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5Publications signalées
2Citations signalées
1Affiliations récentes
Les institutions déclarées
Les domaines associés
Generative Adversarial Networks and Image SynthesisTopic ModelingMultimodal Machine Learning ApplicationsComputer Graphics and Visualization Techniques3D Shape Modeling and Analysis
Les publications récentes
SWST-Net: Semantic-aware Wavelet-drivenStructure and Texture Interaction Network forImage Inpainting
Lili Shen, Qi Li, Xinglin Wang, Ran Chen et autres
cn (code pays fourni par la source)
0 citations
Research Square
Dual-domain perception and cross-domain collaboration guidance network for image inpainting
Lili Shen, Ran Chen, Ye Sun, Yu Fei Wang et autres
cn (code pays fourni par la source)
2 citations
Multimedia Systems
ABE-CLIP: Training-Free Attribute Binding Enhancement for Compositional Image-Text Matching
Qi Zhang, Yuxu CHEN, Lei Deng, Lili Shen
Contrastive Language-Image Pretraining (CLIP) has achieved remarkable performance in various multimodal tasks. However, it still struggles with compositional image-text matching, particularly in accurately associating objects with their corresponding attributes, because its inherent global representation often overlooks fine-grained semantics for attribute binding. Existing …
0 citations
arXiv (Cornell University)
ABE-CLIP: Training-Free Attribute Binding Enhancement for Compositional Image-Text Matching
Qi Zhang, Yuxu CHEN, Lei Deng, Lili Shen
Contrastive Language-Image Pretraining (CLIP) has achieved remarkable performance in various multimodal tasks. However, it still struggles with compositional image-text matching, particularly in accurately associating objects with their corresponding attributes, because its inherent global representation often overlooks fine-grained semantics for attribute binding. Existing …
0 citations
arXiv (Cornell University)
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