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NeuralMeshing: Differentiable Meshing of Implicit Neural Representations
The generation of triangle meshes from point clouds, i. e. meshing, is a core task in computer graphics and computer vision.
LatentHuman: Shape-and-Pose Disentangled Latent Representation for Human Bodies
In this work, we propose a novel neural implicit representation for the human body, which is fully differentiable and optimizable with disentangled shape and pose latent spaces.
Self-Supervised Learning of Non-Rigid Residual Flow and Ego-Motion
Most of the current scene flow methods choose to model scene flow as a per point translation vector without differentiating between static and dynamic components of 3D motion.
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