Rana Hanocka

According to our database, Rana Hanocka authored at least 34 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

AmbiGen: Generating Ambigrams from Pre-trained Diffusion Model.

Boheng Zhao, Rana Hanocka, Raymond A. Yeh

CoRR, 2023

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

Dale Decatur, Itai Lang, Kfir Aberman, Rana Hanocka

CoRR, 2023

HyperFields: Towards Zero-Shot Generation of NeRFs from Text.

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

CoRR, 2023

TEDi: Temporally-Entangled Diffusion for Long-Term Motion Synthesis.

Zihan Zhang, Richard Liu, Kfir Aberman, Rana Hanocka

CoRR, 2023

TextDeformer: Geometry Manipulation using Text Guidance.

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

CoRR, 2023

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

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

Proceedings of the 32nd USENIX Security Symposium, 2023

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

Jialin Huang, Alexa F. Siu, Rana Hanocka, Yotam I. Gingold

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

TextDeformer: Geometry Manipulation using Text Guidance.

William Gao, Noam Aigerman, Thibault Groueix, Vova Kim, Rana Hanocka

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

DA Wand: Distortion-Aware Selection Using Neural Mesh Parameterization.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Dale Decatur, Itai Lang, Rana Hanocka

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

GANimator: neural motion synthesis from a single sequence.

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

ACM Trans. Graph., 2022

GeoCode: Interpretable Shape Programs.

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

CoRR, 2022

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

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

CoRR, 2022

DeepMLS: Geometry-Aware Control Point Deformation.

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

CoRR, 2022

Z2P: Instant Visualization of Point Clouds.

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

Comput. Graph. Forum, 2022

Learning Camera Control in Dynamic Scenes from Limited Demonstrations.

Rana Hanocka, Jackie Assa, Daniel Cohen-Or, Raja Giryes

Comput. Graph. Forum, 2022

NeuralMLS: Geometry-Aware Control Point Deformation.

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

Proceedings of the 43rd Annual Conference of the European Association for Computer Graphics, 2022

Text2Mesh: Text-Driven Neural Stylization for Meshes.

Oscar Michel, Roi Bar-On, Richard Liu, Sagie Benaim, Rana Hanocka

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

R. Kenny Jones, Aalia Habib, Rana Hanocka, Daniel Ritchie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

TetGAN: A Convolutional Neural Network for Tetrahedral Mesh Generation.

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

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Orienting point clouds with dipole propagation.

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

ACM Trans. Graph., 2021

Self-Sampling for Neural Point Cloud Consolidation.

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

ACM Trans. Graph., 2021

Learning skeletal articulations with neural blend shapes.

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

ACM Trans. Graph., 2021

The Neurally-Guided Shape Parser: A Monte Carlo Method for Hierarchical Labeling of Over-segmented 3D Shapes.

R. Kenny Jones, Rana Hanocka, Daniel Ritchie

CoRR, 2021

Z2P: Instant Rendering of Point Clouds.

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

CoRR, 2021

An introduction to deep learning on meshes.

Rana Hanocka, Hsueh-Ti Derek Liu

Proceedings of the SIGGRAPH 2021: Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2021

2020

Deep geometric texture synthesis.

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

ACM Trans. Graph., 2020

Point2Mesh: a self-prior for deformable meshes.

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

ACM Trans. Graph., 2020

PointGMM: A Neural GMM Network for Point Clouds.

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

MeshCNN: a network with an edge.

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

ACM Trans. Graph., 2019

ALIGNet: Partial-Shape Agnostic Alignment via Unsupervised Learning.

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

ACM Trans. Graph., 2019

Blind Visual Motif Removal From a Single Image.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017

Fast and Easy Blind Deblurring Using an Inverse Filter and PROBE.

Naftali Zon, Rana Hanocka, Nahum Kiryati

Proceedings of the Computer Analysis of Images and Patterns, 2017

2015

Progressive Blind Deconvolution.

Rana Hanocka, Nahum Kiryati

Proceedings of the Computer Analysis of Images and Patterns, 2015