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20232026
most citediSeg: Interactive 3D Segmentation via Interactive Attention

4 citations · 7 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

DynaMesh: Dynamic 3D Texture Generation

Raj Hansini, Guan Chen, Rana Hanocka +1

We present DynaMesh, a dynamic texture generation method for 3D meshes. Given a textureless shape and a text prompt describing an effect, our method produces an appearance that evo…

cs.GR2026

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…

cs.CV2026

MeshFM: 2D Features Are All You Need for 3D Shape Understanding

Jinfan Zhou, Richard Liu, Itai Lang +1

We present MeshFM, an efficient feedforward framework for extracting rich features from 3D inputs. Our method distills 2D features from visual foundation models into 3D. We train a…

cs.CV2026

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…

cs.GR2026

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…

cs.CV2026

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…