WebMay 29, 2024 · Recently, the transformer model has been successfully employed for the multi-view 3D reconstruction problem. However, challenges remain on designing an attention mechanism to explore the multiview features and exploit their relations for reinforcing the encoding-decoding modules. This paper proposes a new model, namely … WebSpecifically, we propose a coarse-to-fine reconstruction framework, which contains two main components: point feature extraction and point feature expansion, respectively. In the point feature extraction, we integrate the self-attention module with the graph convolution network (GCN) to capture context information inside and among local regions ...
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WebNov 30, 2024 · DOI: 10.48550/arXiv.2211.17161 Corpus ID: 254096081; Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification @article{Wu2024BidirectionalFR, title={Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification}, author={Jijie Wu and Dongliang Chang … WebSep 15, 2024 · Our method differs from previous work in three aspects. Firstly, it is a coarse-to-fine method combining 3D reconstruction from multi-view images by MF-PIFu and VSR into one route to infer 3D human body models. MF-PIFu produces a coarse 3D human body from multi-view images and VSR refines the coarse result to generate a … palace hotel southend