activity
20232026
most citediSeg: Interactive 3D Segmentation via Interactive Attention

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

collaborators

14 papers

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…

cs.GR2025★ 1 cited

LL3M: Large Language 3D Modelers

Sining Lu, Guan Chen, Nam Anh Dinh +3

We present LL3M, a multi-agent system that leverages pretrained large language models (LLMs) to generate 3D assets by writing interpretable Python code in Blender. We break away fr…

cs.GR2025

3D PixBrush: Image-Guided Local Texture Synthesis

Dale Decatur, Itai Lang, Kfir Aberman +1

We present 3D PixBrush, a method for performing image-driven edits of local regions on 3D meshes. 3D PixBrush predicts a localization mask and a synthesized texture that faithfully…

cs.GR2025

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…

cs.GR2025★ 1 cited

Geometry in Style: 3D Stylization via Surface Normal Deformation

Nam Anh Dinh, Itai Lang, Hyunwoo Kim +2

We present Geometry in Style, a new method for identity-preserving mesh stylization. Existing techniques either adhere to the original shape through overly restrictive deformations…

cs.CV2024

MeshUp: Multi-Target Mesh Deformation via Blended Score Distillation

Hyunwoo Kim, Itai Lang, Noam Aigerman +3

We propose MeshUp, a technique that deforms a 3D mesh towards multiple target concepts, and intuitively controls the region where each concept is expressed. Conveniently, the conce…

cs.CV2024

HaLo-NeRF: Learning Geometry-Guided Semantics for Exploring Unconstrained Photo Collections

Chen Dudai, Morris Alper, Hana Bezalel +3

Internet image collections containing photos captured by crowds of photographers show promise for enabling digital exploration of large-scale tourist landmarks. However, prior work…

cs.CV2024★ 4 cited

iSeg: Interactive 3D Segmentation via Interactive Attention

Itai Lang, Fei Xu, Dale Decatur +2

We present iSeg, a new interactive technique for segmenting 3D shapes. Previous works have focused mainly on leveraging pre-trained 2D foundation models for 3D segmentation based o…

cs.GR2023★ 1 cited

3D Paintbrush: Local Stylization of 3D Shapes with Cascaded Score Distillation

Dale Decatur, Itai Lang, Kfir Aberman +1

In this work we develop 3D Paintbrush, a technique for automatically texturing local semantic regions on meshes via text descriptions. Our method is designed to operate directly on…