Ohad Fried

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 58

Top Topics

Image Generation

Pitman Yor Process

Diffusion Models

Monocular Images

Top Venues

ACM Trans. Graph.

Comput. Graph. Forum

Publications

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)
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 (2024)
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 (2024)
Eyal Michaeli, Ohad Fried
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation. CoRR (2024)
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)
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 (2024)
Sergey Sinitsa, Ohad Fried
Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage Analysis. WACV (2024)
Shimon Malnick, Shai Avidan, Ohad Fried
Taming Normalizing Flows. WACV (2024)
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)
David Dadon, Ohad Fried, Yacov Hel-Or
DDNeRF: Depth Distribution Neural Radiance Fields. WACV (2023)
Nir Zabari, Aharon Azulay, Alexey Gorkor, Tavi Halperin, Ohad Fried
Diffusing Colors: Image Colorization with Text Guided Diffusion. CoRR (2023)
Omri Avrahami, Ohad Fried, Dani Lischinski
Blended Latent Diffusion. ACM Trans. Graph. 42 (4) (2023)
Nir Zabari, Aharon Azulay, Alexey Gorkor, Tavi Halperin, Ohad Fried
Diffusing Colors: Image Colorization with Text Guided Diffusion. SIGGRAPH Asia (2023)
Sergey Sinitsa, Ohad Fried
Deep Image Fingerprint: Accurate And Low Budget Synthetic Image Detector. CoRR (2023)
Omri Avrahami, Kfir Aberman, Ohad Fried, Daniel Cohen-Or, Dani Lischinski
Break-A-Scene: Extracting Multiple Concepts from a Single Image. CoRR (2023)
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 (2023)
Eran Levin, Ohad Fried
Differential Diffusion: Giving Each Pixel Its Strength. CoRR (2023)
Rotem Shalev-Arkushin, Amit Moryossef, Ohad Fried
Ham2Pose: Animating Sign Language Notation into Pose Sequences. CVPR (2023)
Omri Avrahami, Kfir Aberman, Ohad Fried, Daniel Cohen-Or, Dani Lischinski
Break-A-Scene: Extracting Multiple Concepts from a Single Image. SIGGRAPH Asia (2023)
Asaf Karnieli, Ohad Fried, Yacov Hel-Or
DeepShadow: Neural Shape from Shadow. ECCV (2) (2022)
Rotem Shalev-Arkushin, Amit Moryossef, Ohad Fried
Ham2Pose: Animating Sign Language Notation into Pose Sequences. CoRR (2022)
Gil Knafo, Ohad Fried
FakeOut: Leveraging Out-of-domain Self-supervision for Multi-modal Video Deepfake Detection. CoRR (2022)
Omri Avrahami, Dani Lischinski, Ohad Fried
GAN Cocktail: Mixing GANs Without Dataset Access. ECCV (23) (2022)
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 (2022)
Asaf Karnieli, Ohad Fried, Yacov Hel-Or
DeepShadow: Neural Shape from Shadow. CoRR (2022)
David Dadon, Ohad Fried, Yacov Hel-Or
DDNeRF: Depth Distribution Neural Radiance Fields. CoRR (2022)
Or Nachmias, Ohad Fried, Ariel Shamir
Prediction of Scene Plausibility. CoRR (2022)
Daniel Arkushin, Bar Cohen, Shmuel Peleg, Ohad Fried
ReFace: Improving Clothes-Changing Re-Identification With Face Features. CoRR (2022)
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 (2022)
Omri Avrahami, Ohad Fried, Dani Lischinski
Blended Latent Diffusion. CoRR (2022)
Daniel Anderson, Ariel Shamir, Ohad Fried
Neural Font Rendering. CoRR (2022)
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)
Shimon Malnick, Shai Avidan, Ohad Fried
Taming a Generative Model. CoRR (2022)
Omri Avrahami, Dani Lischinski, Ohad Fried
Blended Diffusion for Text-driven Editing of Natural Images. CVPR (2022)
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)
Jane L., Kevin Y. Zhai, Jose Echevarria, Ohad Fried, Pat Hanrahan, James A. Landay
Dynamic Guidance for Decluttering Photographic Compositions. UIST (2021)
Omri Avrahami, Dani Lischinski, Ohad Fried
GAN Cocktail: mixing GANs without dataset access. CoRR (2021)
Omri Avrahami, Dani Lischinski, Ohad Fried
Blended Diffusion for Text-driven Editing of Natural Images. CoRR (2021)
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 (2021)
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) (2021)
Xinwei Yao, Ohad Fried, Kayvon Fatahalian, Maneesh Agrawala
Iterative Text-Based Editing of Talking-Heads Using Neural Retargeting. ACM Trans. Graph. 40 (3) (2021)
Ohad Fried, Jennifer Jacobs, Adam Finkelstein, Maneesh Agrawala
Editing self-image. Commun. ACM 63 (3) (2020)
Xinwei Yao, Ohad Fried, Kayvon Fatahalian, Maneesh Agrawala
Iterative Text-based Editing of Talking-heads Using Neural Retargeting. CoRR (2020)
Roy Or-El, Soumyadip Sengupta, Ohad Fried, Eli Shechtman, Ira Kemelmacher-Shlizerman
Lifespan Age Transformation Synthesis. CoRR (2020)
Roy Or-El, Soumyadip Sengupta, Ohad Fried, Eli Shechtman, Ira Kemelmacher-Shlizerman
Lifespan Age Transformation Synthesis. ECCV (6) (2020)
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) (2020)
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 (2020)
Jane L. E, Ohad Fried, Jingwan Lu, Jianming Zhang, Radomír Mech, Jose Echevarria, Pat Hanrahan, James A. Landay
Adaptive Photographic Composition Guidance. CHI (2020)
Shruti Agarwal, Hany Farid, Ohad Fried, Maneesh Agrawala
Detecting Deep-Fake Videos from Phoneme-Viseme Mismatches. CVPR Workshops (2020)
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) (2019)
Jane L. E, Ohad Fried, Maneesh Agrawala
Optimizing Portrait Lighting at Capture-Time Using a 360 Camera as a Light Probe. UIST (2019)
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 (2019)
Ohad Fried, Maneesh Agrawala
Puppet Dubbing. EGSR (DL/I) (2019)
Ohad Fried, Maneesh Agrawala
Puppet Dubbing. CoRR (2019)
Dov Danon, Hadar Averbuch-Elor, Ohad Fried, Daniel Cohen-Or
Unsupervised natural image patch learning. Comput. Vis. Media 5 (3) (2019)
Dov Danon, Hadar Averbuch-Elor, Ohad Fried, Daniel Cohen-Or
Unsupervised Natural Image Patch Learning. CoRR (2018)
Ohad Fried, Shai Avidan, Daniel Cohen-Or
Patch2Vec: Globally Consistent Image Patch Representation. Comput. Graph. Forum 36 (7) (2017)
Ohad Fried, Eli Shechtman, Dan B. Goldman, Adam Finkelstein
Perspective-aware manipulation of portrait photos. ACM Trans. Graph. 35 (4) (2016)
Ohad Fried, Stephen DiVerdi, Maciej Halber, Elena Sizikova, Adam Finkelstein
IsoMatch: Creating Informative Grid Layouts. Comput. Graph. Forum 34 (2) (2015)
Ohad Fried, Eli Shechtman, Dan B. Goldman, Adam Finkelstein
Finding distractors in images. CVPR (2015)
Huiwen Chang, Ohad Fried, Yiming Liu, Stephen DiVerdi, Adam Finkelstein
Palette-based photo recoloring. ACM Trans. Graph. 34 (4) (2015)
Ohad Fried, Zeyu Jin, Reid Oda, Adam Finkelstein
AudioQuilt: 2D Arrangements of Audio Samples using Metric Learning and Kernelized Sorting. NIME (2014)
Ohad Fried, Rebecca Fiebrink
Cross-modal Sound Mapping Using Deep Learning. NIME (2013)