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Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis
Given a minute-long RGBD video of people interacting with their pets, we render the scene from novel camera trajectories derived from the in-scene motion of actors: (1) egocentric cameras that simulate the point of view of a target actor and (2) 3rd-person cameras that follow the actor.
Distinctiveness Oriented Positional Equilibrium for Point Cloud Registration
Recent state-of-the-art learning-based approaches to point cloud registration have largely been based on graph neural networks (GNN).
Improving Gradient Flow with Unrolled Highway Expectation Maximization
Integrating model-based machine learning methods into deep neural architectures allows one to leverage both the expressive power of deep neural nets and the ability of model-based methods to incorporate domain-specific knowledge.
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