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