Ohad Fried

81 papers A* 16A 3Journal 50Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Copy-Trasform-Paste: Zero-Shot Object-Object Alignment Guided by Vision-Language and Geometric Constraints.
CoRR
Rotem Gatenyo, Ohad Fried
2025 J jnl
Differential Diffusion: Giving Each Pixel Its Strength.
Comput. Graph. Forum
Eran Levin, Ohad Fried
2025 — conf
Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark.
ICCVW
Yaron Aloni, Rotem Shalev-Arkushin, Yonatan Shafir, Guy Tevet, Ohad Fried, Amit Haim Bermano
2025 J jnl
Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark.
CoRR
Yaron Aloni, Rotem Shalev-Arkushin, Yonatan Shafir, Guy Tevet, Ohad Fried, Amit Haim Bermano
2025 J jnl
ImageRAG: Dynamic Image Retrieval for Reference-Guided Image Generation.
CoRR
Rotem Shalev-Arkushin, Rinon Gal, Amit H. Bermano, Ohad Fried
2025 A* conf
Memories of Forgotten Concepts.
CVPR
Matan Rusanovsky, Shimon Malnick, Amir Jevnisek, Ohad Fried, Shai Avidan
2025 J jnl
Prediction of Scene Plausibility.
Comput. Vis. Media
Or Nachmias, Ohad Fried, Ariel Shamir
2025 J jnl
REED-VAE: RE-Encode Decode Training for Iterative Image Editing with Diffusion Models.
Comput. Graph. Forum
Gal Almog, Ariel Shamir, Ohad Fried
2025 J jnl
REED-VAE: RE-Encode Decode Training for Iterative Image Editing with Diffusion Models.
CoRR
Gal Almog, Ariel Shamir, Ohad Fried
2025 A* conf
Stable Flow: Vital Layers for Training-Free Image Editing.
CVPR
Omri Avrahami, Or Patashnik, Ohad Fried, Egor Nemchinov, Kfir Aberman, Dani Lischinski, Daniel Cohen-Or
2025 A* conf
Tiled Diffusion.
CVPR
Or Madar, Ohad Fried
2024 A* conf
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation.
NeurIPS
Eyal Michaeli, Ohad Fried
2024 J jnl
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation.
CoRR
Eyal Michaeli, Ohad Fried
2024 A conf
Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage Analysis.
WACV
Sergey Sinitsa, Ohad Fried
2024 A* conf
DiffUHaul: A Training-Free Method for Object Dragging in Images.
SIGGRAPH Asia
Omri Avrahami, Rinon Gal, Gal Chechik, Ohad Fried, Dani Lischinski, Arash Vahdat, Weili Nie
2024 J jnl
DiffUHaul: A Training-Free Method for Object Dragging in Images.
CoRR
Omri Avrahami, Rinon Gal, Gal Chechik, Ohad Fried, Dani Lischinski, Arash Vahdat, Weili Nie
2024 — conf
GEFF: Improving Any Clothes-Changing Person ReID Model Using Gallery Enrichment with Face Features.
WACV (Workshops)
Daniel Arkushin, Bar Cohen, Shmuel Peleg, Ohad Fried
2024 J jnl
Memories of Forgotten Concepts.
CoRR
Matan Rusanovsky, Shimon Malnick, Amir Jevnisek, Ohad Fried, Shai Avidan
2024 A* conf
Monkey See, Monkey Do: Harnessing Self-attention in Motion Diffusion for Zero-shot Motion Transfer.
SIGGRAPH Asia
Sigal Raab, Inbar Gat, Nathan Sala, Guy Tevet, Rotem Shalev-Arkushin, Ohad Fried, Amit Haim Bermano, Daniel Cohen-Or
2024 J jnl
Monkey See, Monkey Do: Harnessing Self-attention in Motion Diffusion for Zero-shot Motion Transfer.
CoRR
Sigal Raab, Inbar Gat, Nathan Sala, Guy Tevet, Rotem Shalev-Arkushin, Ohad Fried, Amit H. Bermano, Daniel Cohen-Or
2024 J jnl
Stable Flow: Vital Layers for Training-Free Image Editing.
CoRR
Omri Avrahami, Or Patashnik, Ohad Fried, Egor Nemchinov, Kfir Aberman, Dani Lischinski, Daniel Cohen-Or
2024 A conf
Taming Normalizing Flows.
WACV
Shimon Malnick, Shai Avidan, Ohad Fried
2024 — conf
The Chosen One: Consistent Characters in Text-to-Image Diffusion Models.
SIGGRAPH (Conference Paper Track)
Omri Avrahami, Amir Hertz, Yael Vinker, Moab Arar, Shlomi Fruchter, Ohad Fried, Daniel Cohen-Or, Dani Lischinski
2024 J jnl
Tiled Diffusion.
CoRR
Or Madar, Ohad Fried
2024 J jnl
V-LASIK: Consistent Glasses-Removal from Videos Using Synthetic Data.
CoRR
Rotem Shalev-Arkushin, Aharon Azulay, Tavi Halperin, Eitan Richardson, Amit H. Bermano, Ohad Fried
2023 J jnl
Blended Latent Diffusion.
ACM Trans. Graph.
Omri Avrahami, Ohad Fried, Dani Lischinski
2023 A* conf
Break-A-Scene: Extracting Multiple Concepts from a Single Image.
SIGGRAPH Asia
Omri Avrahami, Kfir Aberman, Ohad Fried, Daniel Cohen-Or, Dani Lischinski
2023 J jnl
Break-A-Scene: Extracting Multiple Concepts from a Single Image.
CoRR
Omri Avrahami, Kfir Aberman, Ohad Fried, Daniel Cohen-Or, Dani Lischinski
2023 A conf
DDNeRF: Depth Distribution Neural Radiance Fields.
WACV
David Dadon, Ohad Fried, Yacov Hel-Or
2023 J jnl
Deep Image Fingerprint: Accurate And Low Budget Synthetic Image Detector.
CoRR
Sergey Sinitsa, Ohad Fried
2023 J jnl
Differential Diffusion: Giving Each Pixel Its Strength.
CoRR
Eran Levin, Ohad Fried
2023 A* conf
Diffusing Colors: Image Colorization with Text Guided Diffusion.
SIGGRAPH Asia
Nir Zabari, Aharon Azulay, Alexey Gorkor, Tavi Halperin, Ohad Fried
2023 J jnl
Diffusing Colors: Image Colorization with Text Guided Diffusion.
CoRR
Nir Zabari, Aharon Azulay, Alexey Gorkor, Tavi Halperin, Ohad Fried
2023 A* conf
Ham2Pose: Animating Sign Language Notation into Pose Sequences.
CVPR
Rotem Shalev-Arkushin, Amit Moryossef, Ohad Fried
2023 A* conf
SpaText: Spatio-Textual Representation for Controllable Image Generation.
CVPR
Omri Avrahami, Thomas Hayes, Oran Gafni, Sonal Gupta, Yaniv Taigman, Devi Parikh, Dani Lischinski, Ohad Fried, Xi Yin
2023 J jnl
The Chosen One: Consistent Characters in Text-to-Image Diffusion Models.
CoRR
Omri Avrahami, Amir Hertz, Yael Vinker, Moab Arar, Shlomi Fruchter, Ohad Fried, Daniel Cohen-Or, Dani Lischinski
2022 A* conf
Blended Diffusion for Text-driven Editing of Natural Images.
CVPR
Omri Avrahami, Dani Lischinski, Ohad Fried
2022 J jnl
Blended Latent Diffusion.
CoRR
Omri Avrahami, Ohad Fried, Dani Lischinski
2022 J jnl
DDNeRF: Depth Distribution Neural Radiance Fields.
CoRR
David Dadon, Ohad Fried, Yacov Hel-Or
2022 — conf
DeepShadow: Neural Shape from Shadow.
ECCV (2)
Asaf Karnieli, Ohad Fried, Yacov Hel-Or
2022 J jnl
DeepShadow: Neural Shape from Shadow.
CoRR
Asaf Karnieli, Ohad Fried, Yacov Hel-Or
2022 A* conf
Disentangled3D: Learning a 3D Generative Model with Disentangled Geometry and Appearance from Monocular Images.
CVPR
Ayush Tewari, Mallikarjun B. R., Xingang Pan, Ohad Fried, Maneesh Agrawala, Christian Theobalt
2022 J jnl
Disentangled3D: Learning a 3D Generative Model with Disentangled Geometry and Appearance from Monocular Images.
CoRR
Ayush Tewari, Mallikarjun B. R., Xingang Pan, Ohad Fried, Maneesh Agrawala, Christian Theobalt
2022 J jnl
FakeOut: Leveraging Out-of-domain Self-supervision for Multi-modal Video Deepfake Detection.
CoRR
Gil Knafo, Ohad Fried
2022 — conf
GAN Cocktail: Mixing GANs Without Dataset Access.
ECCV (23)
Omri Avrahami, Dani Lischinski, Ohad Fried
2022 J jnl
Ham2Pose: Animating Sign Language Notation into Pose Sequences.
CoRR
Rotem Shalev-Arkushin, Amit Moryossef, Ohad Fried
2022 J jnl
Neural Font Rendering.
CoRR
Daniel Anderson, Ariel Shamir, Ohad Fried
2022 J jnl
Prediction of Scene Plausibility.
CoRR
Or Nachmias, Ohad Fried, Ariel Shamir
2022 J jnl
ReFace: Improving Clothes-Changing Re-Identification With Face Features.
CoRR
Daniel Arkushin, Bar Cohen, Shmuel Peleg, Ohad Fried
2022 J jnl
SpaText: Spatio-Textual Representation for Controllable Image Generation.
CoRR
Omri Avrahami, Thomas Hayes, Oran Gafni, Sonal Gupta, Yaniv Taigman, Devi Parikh, Dani Lischinski, Ohad Fried, Xi Yin
2022 J jnl
Taming a Generative Model.
CoRR
Shimon Malnick, Shai Avidan, Ohad Fried
2021 — conf
Advances in neural rendering.
SIGGRAPH Courses
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
2021 J jnl
Blended Diffusion for Text-driven Editing of Natural Images.
CoRR
Omri Avrahami, Dani Lischinski, Ohad Fried
2021 A* conf
Dynamic Guidance for Decluttering Photographic Compositions.
UIST
Jane L., Kevin Y. Zhai, Jose Echevarria, Ohad Fried, Pat Hanrahan, James A. Landay
2021 J jnl
Endless Loops: Detecting and Animating Periodic Patterns in Still Images.
CoRR
Tavi Halperin, Hanit Hakim, Orestis Vantzos, Gershon Hochman, Netai Benaim, Lior Sassy, Michael Kupchik, Ofir Bibi, Ohad Fried
2021 J jnl
Endless loops: detecting and animating periodic patterns in still images.
ACM Trans. Graph.
Tavi Halperin, Hanit Hakim, Orestis Vantzos, Gershon Hochman, Netai Benaim, Lior Sassy, Michael Kupchik, Ofir Bibi, Ohad Fried
2021 J jnl
GAN Cocktail: mixing GANs without dataset access.
CoRR
Omri Avrahami, Dani Lischinski, Ohad Fried
2021 J jnl
Iterative Text-Based Editing of Talking-Heads Using Neural Retargeting.
ACM Trans. Graph.
Xinwei Yao, Ohad Fried, Kayvon Fatahalian, Maneesh Agrawala
2020 A* conf
Adaptive Photographic Composition Guidance.
CHI
Jane L. E, Ohad Fried, Jingwan Lu, Jianming Zhang, Radomír Mech, Jose Echevarria, Pat Hanrahan, James A. Landay
2020 — conf
Detecting Deep-Fake Videos from Phoneme-Viseme Mismatches.
CVPR Workshops
Shruti Agarwal, Hany Farid, Ohad Fried, Maneesh Agrawala
2020 J jnl
Editing self-image.
Commun. ACM
Ohad Fried, Jennifer Jacobs, Adam Finkelstein, Maneesh Agrawala
2020 J jnl
Iterative Text-based Editing of Talking-heads Using Neural Retargeting.
CoRR
Xinwei Yao, Ohad Fried, Kayvon Fatahalian, Maneesh Agrawala
2020 — conf
Lifespan Age Transformation Synthesis.
ECCV (6)
Roy Or-El, Soumyadip Sengupta, Ohad Fried, Eli Shechtman, Ira Kemelmacher-Shlizerman
2020 J jnl
Lifespan Age Transformation Synthesis.
CoRR
Roy Or-El, Soumyadip Sengupta, Ohad Fried, Eli Shechtman, Ira Kemelmacher-Shlizerman
2020 J jnl
State of the Art on Neural Rendering.
Comput. Graph. Forum
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
2020 J jnl
State of the Art on Neural Rendering.
CoRR
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
2019 A* conf
Optimizing Portrait Lighting at Capture-Time Using a 360 Camera as a Light Probe.
UIST
Jane L. E, Ohad Fried, Maneesh Agrawala
2019 — conf
Puppet Dubbing.
EGSR (DL/I)
Ohad Fried, Maneesh Agrawala
2019 J jnl
Puppet Dubbing.
CoRR
Ohad Fried, Maneesh Agrawala
2019 J jnl
Text-based Editing of Talking-head Video.
CoRR
Ohad Fried, Ayush Tewari, Michael Zollhöfer, Adam Finkelstein, Eli Shechtman, Dan B. Goldman, Kyle Genova, Zeyu Jin, Christian Theobalt, Maneesh Agrawala
2019 J jnl
Text-based editing of talking-head video.
ACM Trans. Graph.
Ohad Fried, Ayush Tewari, Michael Zollhöfer, Adam Finkelstein, Eli Shechtman, Dan B. Goldman, Kyle Genova, Zeyu Jin, Christian Theobalt, Maneesh Agrawala
2019 J jnl
Unsupervised natural image patch learning.
Comput. Vis. Media
Dov Danon, Hadar Averbuch-Elor, Ohad Fried, Daniel Cohen-Or
2018 J jnl
Unsupervised Natural Image Patch Learning.
CoRR
Dov Danon, Hadar Averbuch-Elor, Ohad Fried, Daniel Cohen-Or
2017 J jnl
Patch2Vec: Globally Consistent Image Patch Representation.
Comput. Graph. Forum
Ohad Fried, Shai Avidan, Daniel Cohen-Or
2017 — —
Photo Manipulation, The Easy Way
Ohad Fried
2016 J jnl
Perspective-aware manipulation of portrait photos.
ACM Trans. Graph.
Ohad Fried, Eli Shechtman, Dan B. Goldman, Adam Finkelstein
2015 A* conf
Finding distractors in images.
CVPR
Ohad Fried, Eli Shechtman, Dan B. Goldman, Adam Finkelstein
2015 J jnl
IsoMatch: Creating Informative Grid Layouts.
Comput. Graph. Forum
Ohad Fried, Stephen DiVerdi, Maciej Halber, Elena Sizikova, Adam Finkelstein
2015 J jnl
Palette-based photo recoloring.
ACM Trans. Graph.
Huiwen Chang, Ohad Fried, Yiming Liu, Stephen DiVerdi, Adam Finkelstein
2014 — conf
AudioQuilt: 2D Arrangements of Audio Samples using Metric Learning and Kernelized Sorting.
NIME
Ohad Fried, Zeyu Jin, Reid Oda, Adam Finkelstein
2013 — conf
Cross-modal Sound Mapping Using Deep Learning.
NIME
Ohad Fried, Rebecca Fiebrink