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Self-Supervised Feature Learning from Partial Point Clouds via Pose Disentanglement
Self-supervised learning on point clouds has gained a lot of attention recently, since it addresses the label-efficiency and domain-gap problems on point cloud tasks.
Stylizing 3D Scene via Implicit Representation and HyperNetwork
Our framework consists of two components: an implicit representation of the 3D scene with the neural radiance fields model, and a hypernetwork to transfer the style information into the scene representation.
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