From the 1 of 13 linked papers with an AI index.
13 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…
HandMade: Spatial Prompting for Generative 3D Creation with Part-Labeled VR Sketches
Jialin Huang, Rana Hanocka, Ariel Shamir +1
Text-to-3D generation lowers the barrier to 3D content creation, but text alone is a weak interface for specifying spatial intent: where parts should be placed, how they relate, an…
Look Both Ways Before You Cross: Lifting Cross Fields From 2D Visual Priors
Dale Decatur, Jacob Serfaty, Oded Stein +2
We present CrossLift, a technique for computing cross fields on meshes guided by visual features in images. We leverage powerful text-to-image priors that are capable of synthesizi…
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…