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cs.GR2024
MagicClay: Sculpting Meshes With Generative Neural Fields
Amir Barda, Vladimir G. Kim, Noam Aigerman +2
The recent developments in neural fields have brought phenomenal capabilities to the field of shape generation, but they lack crucial properties, such as incremental control - a fu…
cs.GR2023
ROAR: Robust Adaptive Reconstruction of Shapes Using Planar Projections
Amir Barda, Yotam Erel, Yoni Kasten +1
The majority of existing large 3D shape datasets contain meshes that lend themselves extremely well to visual applications such as rendering, yet tend to be topologically invalid (…
cs.GR2021★ 1 cited
MeshCNN Fundamentals: Geometric Learning through a Reconstructable Representation
Amir Barda, Yotam Erel, Amit H. Bermano
Mesh-based learning is one of the popular approaches nowadays to learn shapes. The most established backbone in this field is MeshCNN. In this paper, we propose infusing MeshCNN wi…