1.3k citations · 1.5k across the 47 of their papers we have counts for
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Relational Deep Learning: Graph Representation Learning on Relational Databases
Matthias Fey, Weihua Hu, Kexin Huang +6
Much of the world's most valued data is stored in relational databases and data warehouses, where the data is organized into many tables connected by primary-foreign key relations.…
Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation
Philipp Schröppel, Christopher Wewer, Jan Eric Lenssen +2
Controllable generation of 3D assets is important for many practical applications like content creation in movies, games and engineering, as well as in AR/VR. Recently, diffusion m…
Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation
Xianghui Xie, Bharat Lal Bhatnagar, Jan Eric Lenssen +1
Reconstructing human-object interaction in 3D from a single RGB image is a challenging task and existing data driven methods do not generalize beyond the objects present in the car…
Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction
Devikalyan Das, Christopher Wewer, Raza Yunus +2
Reconstructing dynamic objects from monocular videos is a severely underconstrained and challenging problem, and recent work has approached it in various directions. However, owing…
SimNP: Learning Self-Similarity Priors Between Neural Points
Christopher Wewer, Eddy Ilg, Bernt Schiele +1
Existing neural field representations for 3D object reconstruction either (1) utilize object-level representations, but suffer from low-quality details due to conditioning on a glo…