Research

Our research is focused on building artificial intelligence for 3D data, spanning the fields of computer graphics, machine learning, and computer vision. Deep Learning, the most popular form of artificial intelligence, has unlocked remarkable success on structured data (such as text, images, and video), and we are interested in harnessing the potential of these techniques to enable effective operation on unstructured 3D geometric data.

We have developed a convolutional neural network designed specifically for meshes, and also explored how to learn from the internal data within a single shape (for surface reconstruction, geometric texture synthesis, and point cloud consolidation) - and are interested in broader applications related to these areas. Additional research directions that we are aiming to explore include: intertwining human and machine-based creativity to advance our capabilities in 3D shape modeling and animation; learning with less supervision, for example to extract patterns and relationships from large shape collections; and making 3D neural networks more interpretable and explainable.

Follow our github organization for updates on our latest research.

iSeg: Interactive 3D Segmentation via Interactive Attention

Itai Lang*, Fei Xu*, Dale Decatur, Sudarshan Babu, and Rana Hanocka

SIGGRAPH Asia 2024

CodePagePDF

MeshUp: Multi-Target Mesh Deformation via Blended Score Distillation

Hyunwoo Kim, Itai Lang, Thibault Groueix, Noam Aigerman, Vladimir G. Kim, and Rana Hanocka

3DV 2025

CodePagePDF

TEDi: Temporally-Entangled Diffusion for Motion Synthesis

Zihan Zhang, Richard Liu, Kfir Aberman, and Rana Hanocka

SIGGRAPH 2024

CodePagePDF

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

Chen Dudai*, Morris Alper*, Hana Bezalel, Rana Hanocka, Itai Lang, and Hadar Averbuch-Elor

Eurographics 2024

CodePagePDF

HyperFields: Towards Zero-Shot Generation of NeRFs from Text

Sudarshan Babu*, Richard Liu*, Avery Zhou*, Michael Maire, Greg Shakhnarovich, and Rana Hanocka

ICML 2024

CodePagePDF

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

Dale Decatur, Itai Lang, Kfir Aberman, and Rana Hanocka

CVPR 2024

CodePagePDF

LoopDraw: a Loop-Based Autoregressive Model for Shape Synthesis and Editing

Nam Anh Dinh, Haochen Wang, Greg Shakhnarovich, and Rana Hanocka

CVPRW 2024

CodePagePDF

ShapeSonic: Sonifying Fingertip Interactions for Non-Visual Virtual Shape Perception

Jialin Huang, Rana Hanocka, Alexa Siu, and Yotam Gingold

SIGGRAPH Asia 2023

CodePagePDF

TextDeformer: Geometry Manipulation using Text Guidance

William Gao, Noam Aigerman, Thibault Groueix, Vladimir G. Kim, and Rana Hanocka

SIGGRAPH 2023

CodePagePDF

DA Wand: Distortion-Aware Selection using Neural Mesh Parameterization

Richard Liu, Noam Aigerman, Vladimir G. Kim, and Rana Hanocka

CVPR 2023

CodePagePDF

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

Dale Decatur, Itai Lang, and Rana Hanocka

CVPR 2023

CodePagePDF

GeoCode: Interpretable Shape Programs

Ofek Pearl, Itai Lang, Yuhua Hu, Raymond A. Yeh, and Rana Hanocka

ArXiv 2022

CodePagePDF

GLAZE: Protecting Artists from Style Mimicry by Text-to-Image Models

Shawn Shan, Jenna Cryan, Emily Wenger, Haitao Zheng, Rana Hanocka, Ben Y. Zhao

USENIX 2023 (Distinguished Paper Award)

CodePagePDF

TetGAN: A Convolutional Neural Network for Tetrahedral Mesh Generation

William Gao, April Wang, Gal Metzer, Raymond A. Yeh, and Rana Hanocka

BMVC 2022 (Oral)

CodePagePDF

GANimator: Neural Motion Synthesis from a Single Sequence

Peizhuo Li, Kfir Aberman, Zihan Zhang, Rana Hanocka and Olga Sorkine-Hornung

SIGGRAPH 2022

CodePagePDF

Text2Mesh: Text-Driven Neural Stylization for Meshes

Oscar Michel*, Roi Bar-On*, Richard Liu*, Sagie Benaim, and Rana Hanocka (* equal contribution)

CVPR 2022 (Oral)

CodePagePDF

The Neurally-Guided Shape Parser: Grammar-based Labeling of 3D Shape Regions with Approximate Inference

Russel K. Jones, Aalia Habib, Rana Hanocka, and Daniel Ritchie

CVPR 2022

CodePDF

Z2P: Instant Visualization of Point Clouds

Gal Metzer, Rana Hanocka, Raja Giryes, Niloy J. Mitra, and Daniel Cohen-Or

Eurographics 2022

PDF

NeuralMLS: Geometry-Aware Control Point Deformation

Meitar Shechter, Rana Hanocka, Gal Metzer, Raja Giryes, and Daniel Cohen-Or

Eurographics Short Paper 2022

CodePDF

Orienting Point Clouds With Dipole Propagation

Gal Metzer, Rana Hanocka, Denis Zorin, Raja Giryes, Daniele Panozzo, and Daniel Cohen-Or

ACM Transactions on Graphics (Proc. SIGGRAPH) 2021

CodePagePDF

Learning Skeletal Articulations With Neural Blend Shapes

Peizhuo Li, Kfir Aberman, Rana Hanocka, Libin Liu, Olga Sorkine-Hornung, and Baoquan Chen

ACM Transactions on Graphics (Proc. SIGGRAPH) 2021

CodePagePDF

Self-Sampling for Neural Point Cloud Consolidation

Gal Metzer, Rana Hanocka, Raja Giryes, and Daniel Cohen-Or

ACM Transactions on Graphics (TOG) 2021

CodePagePDF

Point2Mesh: A Self-Prior for Deformable Meshes

Rana Hanocka, Gal Metzer, Raja Giryes, and Daniel Cohen-Or

ACM Transactions on Graphics (Proc. SIGGRAPH) 2020

CodePagePDF

Deep Geometric Texture Synthesis

Amir Hertz*, Rana Hanocka*, Raja Giryes, and Daniel Cohen-Or (* joint first authors)

ACM Transactions on Graphics (Proc. SIGGRAPH) 2020

CodePagePDF

PointGMM: a Neural GMM Network for Point Clouds

Amir Hertz, Rana Hanocka, Raja Giryes, and Daniel Cohen-Or

CVPR 2020

CodePDF

MeshCNN: A Network with an Edge

Rana Hanocka, Amir Hertz, Noa Fish, Raja Giryes, Shachar Fleishman and Daniel Cohen-Or

ACM Transactions on Graphics (Proc. SIGGRAPH) 2019

CodePagePDF

Blind Visual Motif Removal from a Single Image

Amir Hertz, Sharon Fogel, Rana Hanocka, Raja Giryes, and Daniel Cohen-Or

CVPR 2019 (Oral)

CodePDF

ALIGNet: Partial-Shape Agnostic Alignment via Unsupervised Learning

Rana Hanocka, Noa Fish, Zhenhua Wang, Raja Giryes, Shachar Fleishman and Daniel Cohen-Or

ACM Transactions on Graphics (TOG) 2018

CodePagePDF

Fast and Easy Blind Deblurring Using an Inverse Filter and PROBE

Naftali Zon*, Rana Hanocka*, Nahum Kiryati (* joint first authors)

Proc. 17th International Conference on Computer Analysis of Images and Patterns (CAIP 2017)

PDF

Progressive Blind Deconvolution

Rana Hanocka, Nahum Kiryati

Proc. 16th International Conference on Computer Analysis of Images and Patterns (CAIP 2015)

PDF