activity
20212026
most citediSeg: Interactive 3D Segmentation via Interactive Attention

4 citations · 7 across the 6 of their papers we have counts for

collaborators

8 papers

cs.GR2026

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…

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.CV2025

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets

Dale Decatur, Thibault Groueix, Wang Yifan +3

Text-to-image diffusion models enable high-quality image generation but are computationally expensive. While prior work optimizes per-inference efficiency, we explore an orthogonal…

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.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…

cs.GR2022★ 1 cited

3D Highlighter: Localizing Regions on 3D Shapes via Text Descriptions

Dale Decatur, Itai Lang, Rana Hanocka

We present 3D Highlighter, a technique for localizing semantic regions on a mesh using text as input. A key feature of our system is the ability to interpret "out-of-domain" locali…

cs.CV2021★ 1 cited

VizExtract: Automatic Relation Extraction from Data Visualizations

Dale Decatur, Sanjay Krishnan

Visual graphics, such as plots, charts, and figures, are widely used to communicate statistical conclusions. Extracting information directly from such visualizations is a key sub-p…