From the 1 of 10 linked papers with an AI index.
10 papers
RADmesh: Remesh-Aware Mesh Deformation
Nam Anh Dinh, Itai Lang, Oded Stein +1
We propose a remeshing-enhanced method for generatively deforming shapes with visual losses. It is intuitive that sufficiently drastic deformations of a mesh without changing its t…
MeshFM: 2D Features Are All You Need for 3D Shape Understanding
Jinfan Zhou, Richard Liu, Itai Lang +1
MeshFM is a feedforward framework that learns 3D shape features by distilling 2D features from visual foundation models using a two‑stage training process that requires no 3D annot…
Best Segmentation Buddies for Image-Shape Correspondence
Itai Lang, Dongwei Lyu, Dale Decatur +1
Finding correspondences is a fundamental and extensively researched problem in computer vision and graphics. In this work, we examine the underexplored task of estimating segmentat…
MeshOn: Intersection-Free Mesh-to-Mesh Composition
Hyunwoo Kim, Itai Lang, Hadar Averbuch-Elor +2
We propose MeshOn, a method that finds physically and semantically realistic compositions of two input meshes. Given an accessory, a base mesh with a user-defined target region, an…
Deep Feature Deformation Weights
Richard Liu, Itai Lang, Rana Hanocka
Handle-based mesh deformation is a classic paradigm in computer graphics which enables intuitive edits from sparse controls. Classical techniques are fast and precise, but require…
WIR3D: Visually-Informed and Geometry-Aware 3D Shape Abstraction
Richard Liu, Daniel Fu, Noah Tan +2
In this work we present WIR3D, a technique for abstracting 3D shapes through a sparse set of visually meaningful curves in 3D. We optimize the parameters of Bezier curves such that…