We're a computer graphics lab at UChicago led by Rana Hanocka, working at the intersection
of
3D graphics and deep learning.
news & posts
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Older entries
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
people
-
PI
-
Postdoc
-
PhD
-
PhD
-
PhD
-
PhD
-
Masters
-
Masters
-
Undergrad
-
Undergrad
-
Undergrad
Alumni
-
Undergrad (2021-2024)
PhD student @ Brown
-
Undergrad (2022-2025)
PhD student @ Columbia
-
Undergrad (2021-2022)
Allen Institute for AI
PhD student @ NYU
-
Masters (2021-2023)
Amazon
-
Undergrad (2021-2022)
MS at CMU
Google
-
Researcher (2021-2022)
Gap Inc
-
Researcher (2021-2022)
AI Researcher @ Leo AI
-
Undergrad (2021-2022)
NVIDIA
-
Undergrad (2024-2025)
PhD @ Stanford
-
Undergrad (2021-2022)
Software Dev @ NWU
-
Undergrad (2019-2022)
PhD @ TAU
-
Undergrad (2019-2022)
MS @ TAU
-
Undergrad (2023-2024)
PreDoc @ Harris
-
Researcher (2022-2023)
SWE @ Citadel
-
Researcher (2022-2024)
Google
-
PhD Collaborator (2023-2024)
AI Fellow @ Biohub
courses
-
-
-
-
research
-
LL3M: Large Language 3D Modelers
Sining Lu*, Guan Chen*, Nam Anh Dinh, Itai Lang, Ari Holtzman, and Rana Hanocka
ArXiv 2025
-
WIR3D: Visually-Informed and Geometry-Aware 3D Shape Abstraction
Richard Liu, Daniel Fu, Noah Tan, Itai Lang, and Rana Hanocka
ICCV 2025 (Oral)
-
Reusing Computation in Text‑to‑Image Diffusion for Efficient Generation of Image Sets
Dale Decatur, Thibault Groueix, Yifan Wang, Rana Hanocka, Vova Kim, and Matheus Gadelha
ICCV 2025
-
Geometry in Style: 3D Stylization via Surface Normal Deformation
Nam Anh Dinh, Itai Lang, Hyunwoo Kim, Oded Stein, and Rana Hanocka
CVPR 2025
-
iSeg: Interactive 3D Segmentation via Interactive Attention
Itai Lang*, Fei Xu*, Dale Decatur, Sudarshan Babu, and Rana Hanocka
SIGGRAPH Asia 2024
-
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
-
TEDi: Temporally-Entangled Diffusion for Motion Synthesis
Zihan Zhang, Richard Liu, Kfir Aberman, and Rana Hanocka
SIGGRAPH 2024
-
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
-
HyperFields: Towards Zero-Shot Generation of NeRFs from Text
Sudarshan Babu*, Richard Liu*, Avery Zhou*, Michael Maire, Greg Shakhnarovich, and Rana Hanocka
ICML 2024
-
3D Paintbrush: Local Stylization of 3D Shapes with Cascaded Score Distillation
Dale Decatur, Itai Lang, Kfir Aberman, and Rana Hanocka
CVPR 2024
-
LoopDraw: a Loop-Based Autoregressive Model for Shape Synthesis and Editing
Nam Anh Dinh, Haochen Wang, Greg Shakhnarovich, and Rana Hanocka
CVPRW 2024
-
ShapeSonic: Sonifying Fingertip Interactions for Non-Visual Virtual Shape Perception
Jialin Huang, Rana Hanocka, Alexa Siu, and Yotam Gingold
SIGGRAPH Asia 2023
-
TextDeformer: Geometry Manipulation using Text Guidance
William Gao, Noam Aigerman, Thibault Groueix, Vladimir G. Kim, and Rana Hanocka
SIGGRAPH 2023
-
DA Wand: Distortion-Aware Selection using Neural Mesh Parameterization
Richard Liu, Noam Aigerman, Vladimir G. Kim, and Rana Hanocka
CVPR 2023
-
3D Highlighter: Localizing Regions on 3D Shapes via Text Descriptions
Dale Decatur, Itai Lang, and Rana Hanocka
CVPR 2023
-
GeoCode: Interpretable Shape Programs
Ofek Pearl, Itai Lang, Yuhua Hu, Raymond A. Yeh, and Rana Hanocka
CGF 2025
-
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)
-
TetGAN: A Convolutional Neural Network for Tetrahedral Mesh Generation
William Gao, April Wang, Gal Metzer, Raymond A. Yeh, and Rana Hanocka
BMVC 2022 (Oral)
-
GANimator: Neural Motion Synthesis from a Single Sequence
Peizhuo Li, Kfir Aberman, Zihan Zhang, Rana Hanocka and Olga Sorkine-Hornung
SIGGRAPH 2022
-
Text2Mesh: Text-Driven Neural Stylization for Meshes
Oscar Michel*, Roi Bar-On*, Richard Liu*, Sagie Benaim, and Rana Hanocka (* equal contribution)
CVPR 2022 (Oral)
-
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
-
Z2P: Instant Visualization of Point Clouds
Gal Metzer, Rana Hanocka, Raja Giryes, Niloy J. Mitra, and Daniel Cohen-Or
Eurographics 2022
-
NeuralMLS: Geometry-Aware Control Point Deformation
Meitar Shechter, Rana Hanocka, Gal Metzer, Raja Giryes, and Daniel Cohen-Or
Eurographics Short Paper 2022
-
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
-
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
-
Self-Sampling for Neural Point Cloud Consolidation
Gal Metzer, Rana Hanocka, Raja Giryes, and Daniel Cohen-Or
ACM Transactions on Graphics (TOG) 2021
-
Point2Mesh: A Self-Prior for Deformable Meshes
Rana Hanocka, Gal Metzer, Raja Giryes, and Daniel Cohen-Or
ACM Transactions on Graphics (Proc. SIGGRAPH) 2020
-
Deep Geometric Texture Synthesis
Amir Hertz*, Rana Hanocka*, Raja Giryes, and Daniel Cohen-Or (* joint first authors)
ACM Transactions on Graphics (Proc. SIGGRAPH) 2020
-
PointGMM: a Neural GMM Network for Point Clouds
Amir Hertz, Rana Hanocka, Raja Giryes, and Daniel Cohen-Or
CVPR 2020
-
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
-
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
↑