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Neural Mesh Fusion: Unsupervised 3D Planar Surface Understanding
This paper presents Neural Mesh Fusion (NMF), an efficient approach for joint optimization of polygon mesh from multi-view image observations and unsupervised 3D planar-surface parsing of the scene.
VaLID: Variable-Length Input Diffusion for Novel View Synthesis
This is because the source-view images and corresponding poses are processed separately and injected into the model at different stages.
WiCluster: Passive Indoor 2D/3D Positioning using WiFi without Precise Labels
Our second contribution is two weakly supervised losses that map this latent space into a Cartesian map, resulting in meter-accuracy position results.
Lesion Segmentation in Ultrasound Using Semi-pixel-wise Cycle Generative Adversarial Nets
The method takes the advantage of a fully convolutional neural network (FCN) and a generative adversarial net to segment a lesion by using prior knowledge.
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