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2020 – today
- 2025
[i34]Rotem Shalev-Arkushin, Rinon Gal, Amit H. Bermano, Ohad Fried:
ImageRAG: Dynamic Image Retrieval for Reference-Guided Image Generation. CoRR abs/2502.09411 (2025)- [i33]Gal Almog, Ariel Shamir, Ohad Fried:
REED-VAE: RE-Encode Decode Training for Iterative Image Editing with Diffusion Models. CoRR abs/2504.18989 (2025) - 2024
- [c26]Eyal Michaeli, Ohad Fried:
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation. NeurIPS 2024 - [c25]Omri Avrahami
, Amir Hertz, Yael Vinker, Moab Arar, Shlomi Fruchter, Ohad Fried, Daniel Cohen-Or, Dani Lischinski:
The Chosen One: Consistent Characters in Text-to-Image Diffusion Models. SIGGRAPH (Conference Paper Track) 2024: 26 - [c24]Omri Avrahami, Rinon Gal, Gal Chechik, Ohad Fried, Dani Lischinski, Arash Vahdat, Weili Nie:
DiffUHaul: A Training-Free Method for Object Dragging in Images. SIGGRAPH Asia 2024: 38:1-38:12 - [c23]Sigal Raab, Inbar Gat, Nathan Sala, Guy Tevet, Rotem Shalev-Arkushin, Ohad Fried, Amit Haim Bermano, Daniel Cohen-Or:
Monkey See, Monkey Do: Harnessing Self-attention in Motion Diffusion for Zero-shot Motion Transfer. SIGGRAPH Asia 2024: 87:1-87:13 - [c22]Daniel Arkushin, Bar Cohen, Shmuel Peleg, Ohad Fried:
GEFF: Improving Any Clothes-Changing Person ReID Model Using Gallery Enrichment with Face Features. WACV (Workshops) 2024: 143-153 - [c21]Sergey Sinitsa, Ohad Fried:
Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage Analysis. WACV 2024: 4055-4064 - [c20]Shimon Malnick, Shai Avidan, Ohad Fried:
Taming Normalizing Flows. WACV 2024: 4632-4642 - [i32]Omri Avrahami, Rinon Gal, Gal Chechik, Ohad Fried, Dani Lischinski, Arash Vahdat, Weili Nie:
DiffUHaul: A Training-Free Method for Object Dragging in Images. CoRR abs/2406.01594 (2024) - [i31]Sigal Raab, Inbar Gat, Nathan Sala, Guy Tevet, Rotem Shalev-Arkushin, Ohad Fried, Amit H. Bermano, Daniel Cohen-Or:
Monkey See, Monkey Do: Harnessing Self-attention in Motion Diffusion for Zero-shot Motion Transfer. CoRR abs/2406.06508 (2024) - [i30]Rotem Shalev-Arkushin, Aharon Azulay, Tavi Halperin, Eitan Richardson, Amit H. Bermano, Ohad Fried:
V-LASIK: Consistent Glasses-Removal from Videos Using Synthetic Data. CoRR abs/2406.14510 (2024) - [i29]Eyal Michaeli, Ohad Fried:
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation. CoRR abs/2406.14551 (2024) - [i28]Omri Avrahami, Or Patashnik, Ohad Fried, Egor Nemchinov, Kfir Aberman, Dani Lischinski, Daniel Cohen-Or:
Stable Flow: Vital Layers for Training-Free Image Editing. CoRR abs/2411.14430 (2024) - [i27]Matan Rusanovsky, Shimon Malnick, Amir Jevnisek, Ohad Fried, Shai Avidan:
Memories of Forgotten Concepts. CoRR abs/2412.00782 (2024) - [i26]Or Madar, Ohad Fried:
Tiled Diffusion. CoRR abs/2412.15185 (2024) - 2023
- [j11]Omri Avrahami, Ohad Fried, Dani Lischinski:
Blended Latent Diffusion. ACM Trans. Graph. 42(4): 149:1-149:11 (2023) - [c19]Omri Avrahami, Thomas Hayes, Oran Gafni, Sonal Gupta, Yaniv Taigman, Devi Parikh, Dani Lischinski, Ohad Fried, Xi Yin:
SpaText: Spatio-Textual Representation for Controllable Image Generation. CVPR 2023: 18370-18380 - [c18]Rotem Shalev-Arkushin, Amit Moryossef, Ohad Fried:
Ham2Pose: Animating Sign Language Notation into Pose Sequences. CVPR 2023: 21046-21056 - [c17]Nir Zabari, Aharon Azulay, Alexey Gorkor, Tavi Halperin, Ohad Fried:
Diffusing Colors: Image Colorization with Text Guided Diffusion. SIGGRAPH Asia 2023: 61:1-61:11 - [c16]Omri Avrahami, Kfir Aberman, Ohad Fried, Daniel Cohen-Or, Dani Lischinski:
Break-A-Scene: Extracting Multiple Concepts from a Single Image. SIGGRAPH Asia 2023: 96:1-96:12 - [c15]David Dadon, Ohad Fried, Yacov Hel-Or:
DDNeRF: Depth Distribution Neural Radiance Fields. WACV 2023: 755-763 - [i25]Sergey Sinitsa, Ohad Fried:
Deep Image Fingerprint: Accurate And Low Budget Synthetic Image Detector. CoRR abs/2303.10762 (2023) - [i24]Omri Avrahami, Kfir Aberman, Ohad Fried, Daniel Cohen-Or, Dani Lischinski:
Break-A-Scene: Extracting Multiple Concepts from a Single Image. CoRR abs/2305.16311 (2023) - [i23]Eran Levin, Ohad Fried:
Differential Diffusion: Giving Each Pixel Its Strength. CoRR abs/2306.00950 (2023) - [i22]Omri Avrahami, Amir Hertz, Yael Vinker, Moab Arar, Shlomi Fruchter, Ohad Fried, Daniel Cohen-Or, Dani Lischinski:
The Chosen One: Consistent Characters in Text-to-Image Diffusion Models. CoRR abs/2311.10093 (2023) - [i21]Nir Zabari, Aharon Azulay, Alexey Gorkor, Tavi Halperin, Ohad Fried:
Diffusing Colors: Image Colorization with Text Guided Diffusion. CoRR abs/2312.04145 (2023) - 2022
- [c14]Ayush Tewari, Mallikarjun B. R., Xingang Pan, Ohad Fried, Maneesh Agrawala, Christian Theobalt:
Disentangled3D: Learning a 3D Generative Model with Disentangled Geometry and Appearance from Monocular Images. CVPR 2022: 1506-1515 - [c13]Omri Avrahami, Dani Lischinski, Ohad Fried:
Blended Diffusion for Text-driven Editing of Natural Images. CVPR 2022: 18187-18197 - [c12]Omri Avrahami, Dani Lischinski, Ohad Fried:
GAN Cocktail: Mixing GANs Without Dataset Access. ECCV (23) 2022: 205-221 - [c11]Asaf Karnieli, Ohad Fried, Yacov Hel-Or:
DeepShadow: Neural Shape from Shadow. ECCV (2) 2022: 415-430 - [i20]Asaf Karnieli, Ohad Fried, Yacov Hel-Or:
DeepShadow: Neural Shape from Shadow. CoRR abs/2203.15065 (2022) - [i19]Ayush Tewari, Mallikarjun B. R., Xingang Pan, Ohad Fried, Maneesh Agrawala, Christian Theobalt:
Disentangled3D: Learning a 3D Generative Model with Disentangled Geometry and Appearance from Monocular Images. CoRR abs/2203.15926 (2022) - [i18]David Dadon, Ohad Fried, Yacov Hel-Or:
DDNeRF: Depth Distribution Neural Radiance Fields. CoRR abs/2203.16626 (2022) - [i17]Omri Avrahami, Ohad Fried, Dani Lischinski:
Blended Latent Diffusion. CoRR abs/2206.02779 (2022) - [i16]Rotem Shalev-Arkushin, Amit Moryossef, Ohad Fried:
Ham2Pose: Animating Sign Language Notation into Pose Sequences. CoRR abs/2211.13613 (2022) - [i15]Daniel Arkushin, Bar Cohen, Shmuel Peleg, Ohad Fried:
ReFace: Improving Clothes-Changing Re-Identification With Face Features. CoRR abs/2211.13807 (2022) - [i14]Omri Avrahami, Thomas Hayes, Oran Gafni, Sonal Gupta, Yaniv Taigman, Devi Parikh, Dani Lischinski, Ohad Fried, Xi Yin:
SpaText: Spatio-Textual Representation for Controllable Image Generation. CoRR abs/2211.14305 (2022) - [i13]Daniel Anderson, Ariel Shamir, Ohad Fried:
Neural Font Rendering. CoRR abs/2211.14802 (2022) - [i12]Shimon Malnick, Shai Avidan, Ohad Fried:
Taming a Generative Model. CoRR abs/2211.16488 (2022) - [i11]Gil Knafo, Ohad Fried:
FakeOut: Leveraging Out-of-domain Self-supervision for Multi-modal Video Deepfake Detection. CoRR abs/2212.00773 (2022) - [i10]Or Nachmias, Ohad Fried, Ariel Shamir:
Prediction of Scene Plausibility. CoRR abs/2212.01470 (2022) - 2021
- [j10]Xinwei Yao, Ohad Fried, Kayvon Fatahalian, Maneesh Agrawala:
Iterative Text-Based Editing of Talking-Heads Using Neural Retargeting. ACM Trans. Graph. 40(3): 20:1-20:14 (2021) - [j9]Tavi Halperin, Hanit Hakim, Orestis Vantzos, Gershon Hochman, Netai Benaim, Lior Sassy, Michael Kupchik, Ofir Bibi, Ohad Fried:
Endless loops: detecting and animating periodic patterns in still images. ACM Trans. Graph. 40(4): 142:1-142:12 (2021) - [c10]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:
Advances in neural rendering. SIGGRAPH Courses 2021: 1:1-1:320 - [c9]Jane L., Kevin Y. Zhai, Jose Echevarria, Ohad Fried, Pat Hanrahan, James A. Landay:
Dynamic Guidance for Decluttering Photographic Compositions. UIST 2021: 359-371 - [i9]Tavi Halperin, Hanit Hakim, Orestis Vantzos, Gershon Hochman, Netai Benaim, Lior Sassy, Michael Kupchik, Ofir Bibi, Ohad Fried:
Endless Loops: Detecting and Animating Periodic Patterns in Still Images. CoRR abs/2105.09374 (2021) - [i8]Omri Avrahami, Dani Lischinski, Ohad Fried:
GAN Cocktail: mixing GANs without dataset access. CoRR abs/2106.03847 (2021) - [i7]Omri Avrahami, Dani Lischinski, Ohad Fried:
Blended Diffusion for Text-driven Editing of Natural Images. CoRR abs/2111.14818 (2021) - 2020
- [j8]Ohad Fried, Jennifer Jacobs, Adam Finkelstein, Maneesh Agrawala:
Editing self-image. Commun. ACM 63(3): 70-79 (2020) - [j7]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:
State of the Art on Neural Rendering. Comput. Graph. Forum 39(2): 701-727 (2020) - [c8]Jane L. E, Ohad Fried, Jingwan Lu, Jianming Zhang, Radomír Mech, Jose Echevarria, Pat Hanrahan, James A. Landay:
Adaptive Photographic Composition Guidance. CHI 2020: 1-13 - [c7]Shruti Agarwal, Hany Farid, Ohad Fried, Maneesh Agrawala:
Detecting Deep-Fake Videos from Phoneme-Viseme Mismatches. CVPR Workshops 2020: 2814-2822 - [c6]Roy Or-El, Soumyadip Sengupta, Ohad Fried, Eli Shechtman, Ira Kemelmacher-Shlizerman:
Lifespan Age Transformation Synthesis. ECCV (6) 2020: 739-755 - [i6]Roy Or-El, Soumyadip Sengupta, Ohad Fried, Eli Shechtman, Ira Kemelmacher-Shlizerman:
Lifespan Age Transformation Synthesis. CoRR abs/2003.09764 (2020) - [i5]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:
State of the Art on Neural Rendering. CoRR abs/2004.03805 (2020) - [i4]Xinwei Yao, Ohad Fried, Kayvon Fatahalian, Maneesh Agrawala:
Iterative Text-based Editing of Talking-heads Using Neural Retargeting. CoRR abs/2011.10688 (2020)
2010 – 2019
- 2019
- [j6]Dov Danon, Hadar Averbuch-Elor, Ohad Fried, Daniel Cohen-Or:
Unsupervised natural image patch learning. Comput. Vis. Media 5(3): 229-237 (2019) - [j5]Ohad Fried, Ayush Tewari, Michael Zollhöfer, Adam Finkelstein, Eli Shechtman, Dan B. Goldman, Kyle Genova, Zeyu Jin, Christian Theobalt, Maneesh Agrawala:
Text-based editing of talking-head video. ACM Trans. Graph. 38(4): 68:1-68:14 (2019) - [c5]Ohad Fried, Maneesh Agrawala:
Puppet Dubbing. EGSR (DL/I) 2019: 51-60 - [c4]Jane L. E, Ohad Fried, Maneesh Agrawala:
Optimizing Portrait Lighting at Capture-Time Using a 360 Camera as a Light Probe. UIST 2019: 221-232 - [i3]Ohad Fried, Maneesh Agrawala:
Puppet Dubbing. CoRR abs/1902.04285 (2019) - [i2]Ohad Fried, Ayush Tewari, Michael Zollhöfer, Adam Finkelstein, Eli Shechtman, Dan B. Goldman, Kyle Genova, Zeyu Jin, Christian Theobalt, Maneesh Agrawala:
Text-based Editing of Talking-head Video. CoRR abs/1906.01524 (2019) - 2018
- [i1]Dov Danon, Hadar Averbuch-Elor, Ohad Fried, Daniel Cohen-Or:
Unsupervised Natural Image Patch Learning. CoRR abs/1807.03130 (2018) - 2017
- [b1]Ohad Fried:
Photo Manipulation, The Easy Way. Princeton University, USA, 2017 - [j4]Ohad Fried, Shai Avidan, Daniel Cohen-Or:
Patch2Vec: Globally Consistent Image Patch Representation. Comput. Graph. Forum 36(7): 183-194 (2017) - 2016
- [j3]Ohad Fried, Eli Shechtman, Dan B. Goldman, Adam Finkelstein:
Perspective-aware manipulation of portrait photos. ACM Trans. Graph. 35(4): 128:1-128:10 (2016) - 2015
- [j2]Ohad Fried, Stephen DiVerdi, Maciej Halber, Elena Sizikova, Adam Finkelstein:
IsoMatch: Creating Informative Grid Layouts. Comput. Graph. Forum 34(2): 155-166 (2015) - [j1]Huiwen Chang, Ohad Fried, Yiming Liu, Stephen DiVerdi, Adam Finkelstein:
Palette-based photo recoloring. ACM Trans. Graph. 34(4): 139:1-139:11 (2015) - [c3]Ohad Fried, Eli Shechtman, Dan B. Goldman, Adam Finkelstein:
Finding distractors in images. CVPR 2015: 1703-1712 - 2014
- [c2]Ohad Fried, Zeyu Jin, Reid Oda, Adam Finkelstein:
AudioQuilt: 2D Arrangements of Audio Samples using Metric Learning and Kernelized Sorting. NIME 2014: 281-286 - 2013
- [c1]Ohad Fried, Rebecca Fiebrink:
Cross-modal Sound Mapping Using Deep Learning. NIME 2013: 531-534
Coauthor Index
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