Ohad Fried

According to our database, Ohad Fried authored at least 49 papers between 2013 and 2024.

Collaborative distances:

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

2024

Tiled Diffusion.

Or Madar, Ohad Fried

CoRR, 2024

Memories of Forgotten Concepts.

Matan Rusanovsky, Shimon Malnick, Amir Jevnisek, Ohad Fried, Shai Avidan

CoRR, 2024

Stable Flow: Vital Layers for Training-Free Image Editing.

Omri Avrahami, Or Patashnik, Ohad Fried, Egor Nemchinov, Kfir Aberman, Dani Lischinski, Daniel Cohen-Or

CoRR, 2024

Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation.

Eyal Michaeli, Ohad Fried

CoRR, 2024

V-LASIK: Consistent Glasses-Removal from Videos Using Synthetic Data.

Rotem Shalev-Arkushin, Aharon Azulay, Tavi Halperin, Eitan Richardson, Amit H. Bermano, Ohad Fried

CoRR, 2024

Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage Analysis.

Sergey Sinitsa, Ohad Fried

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Taming Normalizing Flows.

Shimon Malnick, Shai Avidan, Ohad Fried

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

GEFF: Improving Any Clothes-Changing Person ReID Model Using Gallery Enrichment with Face Features.

Daniel Arkushin, Bar Cohen, Shmuel Peleg, Ohad Fried

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

Monkey See, Monkey Do: Harnessing Self-attention in Motion Diffusion for Zero-shot Motion Transfer.

Sigal Raab, Inbar Gat, Nathan Sala, Guy Tevet, Rotem Shalev-Arkushin, Ohad Fried, Amit Haim Bermano, Daniel Cohen-Or

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

DiffUHaul: A Training-Free Method for Object Dragging in Images.

Omri Avrahami, Rinon Gal, Gal Chechik, Ohad Fried, Dani Lischinski, Arash Vahdat, Weili Nie

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

The Chosen One: Consistent Characters in Text-to-Image Diffusion Models.

Omri Avrahami, Amir Hertz, Yael Vinker, Moab Arar, Shlomi Fruchter, Ohad Fried, Daniel Cohen-Or, Dani Lischinski

Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

2023

Blended Latent Diffusion.

Omri Avrahami, Ohad Fried, Dani Lischinski

ACM Trans. Graph., August, 2023

Differential Diffusion: Giving Each Pixel Its Strength.

Eran Levin, Ohad Fried

CoRR, 2023

Deep Image Fingerprint: Accurate And Low Budget Synthetic Image Detector.

Sergey Sinitsa, Ohad Fried

CoRR, 2023

DDNeRF: Depth Distribution Neural Radiance Fields.

David Dadon, Ohad Fried, Yacov Hel-Or

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Diffusing Colors: Image Colorization with Text Guided Diffusion.

Nir Zabari, Aharon Azulay, Alexey Gorkor, Tavi Halperin, Ohad Fried

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Break-A-Scene: Extracting Multiple Concepts from a Single Image.

Omri Avrahami, Kfir Aberman, Ohad Fried, Daniel Cohen-Or, Dani Lischinski

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Ham2Pose: Animating Sign Language Notation into Pose Sequences.

Rotem Shalev-Arkushin, Amit Moryossef, Ohad Fried

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

SpaText: Spatio-Textual Representation for Controllable Image Generation.

Omri Avrahami, Thomas Hayes, Oran Gafni, Sonal Gupta, Yaniv Taigman, Devi Parikh, Dani Lischinski, Ohad Fried, Xi Yin

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

2022

Prediction of Scene Plausibility.

Or Nachmias, Ohad Fried, Ariel Shamir

CoRR, 2022

FakeOut: Leveraging Out-of-domain Self-supervision for Multi-modal Video Deepfake Detection.

Gil Knafo, Ohad Fried

CoRR, 2022

Taming a Generative Model.

Shimon Malnick, Shai Avidan, Ohad Fried

CoRR, 2022

Neural Font Rendering.

Daniel Anderson, Ariel Shamir, Ohad Fried

CoRR, 2022

ReFace: Improving Clothes-Changing Re-Identification With Face Features.

Daniel Arkushin, Bar Cohen, Shmuel Peleg, Ohad Fried

CoRR, 2022

DeepShadow: Neural Shape from Shadow.

Asaf Karnieli, Ohad Fried, Yacov Hel-Or

Proceedings of the Computer Vision - ECCV 2022, 2022

GAN Cocktail: Mixing GANs Without Dataset Access.

Omri Avrahami, Dani Lischinski, Ohad Fried

Proceedings of the Computer Vision - ECCV 2022, 2022

Disentangled3D: Learning a 3D Generative Model with Disentangled Geometry and Appearance from Monocular Images.

Ayush Tewari, Mallikarjun B. R., Xingang Pan, Ohad Fried, Maneesh Agrawala, Christian Theobalt

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

Blended Diffusion for Text-driven Editing of Natural Images.

Omri Avrahami, Dani Lischinski, Ohad Fried

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

2021

Iterative Text-Based Editing of Talking-Heads Using Neural Retargeting.

Xinwei Yao, Ohad Fried, Kayvon Fatahalian, Maneesh Agrawala

ACM Trans. Graph., 2021

Endless loops: detecting and animating periodic patterns in still images.

Tavi Halperin, Hanit Hakim, Orestis Vantzos, Gershon Hochman, Netai Benaim, Lior Sassy, Michael Kupchik, Ofir Bibi, Ohad Fried

ACM Trans. Graph., 2021

Dynamic Guidance for Decluttering Photographic Compositions.

Jane L., Kevin Y. Zhai, Jose Echevarria, Ohad Fried, Pat Hanrahan, James A. Landay

Proceedings of the UIST '21: The 34th Annual ACM Symposium on User Interface Software and Technology, 2021

Advances in neural rendering.

Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Zexiang Xu, Tomas Simon, Matthias Nießner, Edgar Tretschk, Lingjie Liu, Ben Mildenhall, Pratul P. Srinivasan, Rohit Pandey, Sergio Orts-Escolano, Sean Ryan Fanello, Michelle Guo, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Daniel B. Goldman, Michael Zollhöfer

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

2020

State of the Art on Neural Rendering.

Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason M. Saragih, Matthias Nießner, Rohit Pandey, Sean Ryan Fanello, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Eli Shechtman, Dan B. Goldman, Michael Zollhöfer

Comput. Graph. Forum, 2020

Editing self-image.

Ohad Fried, Jennifer Jacobs, Adam Finkelstein, Maneesh Agrawala

Commun. ACM, 2020

Lifespan Age Transformation Synthesis.

Roy Or-El, Soumyadip Sengupta, Ohad Fried, Eli Shechtman, Ira Kemelmacher-Shlizerman

Proceedings of the Computer Vision - ECCV 2020, 2020

Detecting Deep-Fake Videos from Phoneme-Viseme Mismatches.

Shruti Agarwal, Hany Farid, Ohad Fried, Maneesh Agrawala

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

Adaptive Photographic Composition Guidance.

Jane L. E, Ohad Fried, Jingwan Lu, Jianming Zhang, Radomír Mech, Jose Echevarria, Pat Hanrahan, James A. Landay

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019

Text-based editing of talking-head video.

Ohad Fried, Ayush Tewari, Michael Zollhöfer, Adam Finkelstein, Eli Shechtman, Dan B. Goldman, Kyle Genova, Zeyu Jin, Christian Theobalt, Maneesh Agrawala

ACM Trans. Graph., 2019

Unsupervised natural image patch learning.

Dov Danon, Hadar Averbuch-Elor, Ohad Fried, Daniel Cohen-Or

Comput. Vis. Media, 2019

Optimizing Portrait Lighting at Capture-Time Using a 360 Camera as a Light Probe.

Jane L. E, Ohad Fried, Maneesh Agrawala

Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology, 2019

Puppet Dubbing.

Ohad Fried, Maneesh Agrawala

Proceedings of the 30th Eurographics Symposium on Rendering, 2019

2017

Photo Manipulation, The Easy Way

Ohad Fried

PhD thesis, 2017

Patch2Vec: Globally Consistent Image Patch Representation.

Ohad Fried, Shai Avidan, Daniel Cohen-Or

Comput. Graph. Forum, 2017

2016

Perspective-aware manipulation of portrait photos.

Ohad Fried, Eli Shechtman, Dan B. Goldman, Adam Finkelstein

ACM Trans. Graph., 2016

2015

Palette-based photo recoloring.

Huiwen Chang, Ohad Fried, Yiming Liu, Stephen DiVerdi, Adam Finkelstein

ACM Trans. Graph., 2015

IsoMatch: Creating Informative Grid Layouts.

Ohad Fried, Stephen DiVerdi, Maciej Halber, Elena Sizikova, Adam Finkelstein

Comput. Graph. Forum, 2015

Finding distractors in images.

Ohad Fried, Eli Shechtman, Dan B. Goldman, Adam Finkelstein

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

AudioQuilt: 2D Arrangements of Audio Samples using Metric Learning and Kernelized Sorting.

Ohad Fried, Zeyu Jin, Reid Oda, Adam Finkelstein

Proceedings of the 14th International Conference on New Interfaces for Musical Expression, 2014

2013

Cross-modal Sound Mapping Using Deep Learning.

Ohad Fried, Rebecca Fiebrink

Proceedings of the 13th International Conference on New Interfaces for Musical Expression, 2013