Cross-modal Sound Mapping Using Deep Learning. - Ohad Fried; Rebecca Fiebrink (NIME, 2013)

AudioQuilt: 2D Arrangements of Audio Samples using Metric Learning and Kernelized Sorting. - Ohad Fried; Zeyu Jin; Reid Oda; Adam Finkelstein (NIME, 2014)

Finding distractors in images. - Ohad Fried; Eli Shechtman; Dan B. Goldman; Adam Finkelstein (CVPR, 2015)

IsoMatch: Creating Informative Grid Layouts. - Ohad Fried; Stephen DiVerdi; Maciej Halber; Elena Sizikova; Adam Finkelstein (Comput. Graph. Forum, 2015)

Palette-based photo recoloring. - Huiwen Chang; Ohad Fried; Yiming Liu 001; Stephen DiVerdi; Adam Finkelstein (ACM Trans. Graph., 2015)

Perspective-aware manipulation of portrait photos. - Ohad Fried; Eli Shechtman; Dan B. Goldman; Adam Finkelstein (ACM Trans. Graph., 2016)

Patch2Vec: Globally Consistent Image Patch Representation. - Ohad Fried; Shai Avidan; Daniel Cohen-Or (Comput. Graph. Forum, 2017)

Photo Manipulation, The Easy Way - Ohad Fried (2017)

Puppet Dubbing. - Ohad Fried; Maneesh Agrawala (EGSR (DL/I), 2019)

Optimizing Portrait Lighting at Capture-Time Using a 360 Camera as a Light Probe. - Jane L. E; Ohad Fried; Maneesh Agrawala (UIST, 2019)

Unsupervised natural image patch learning. - Dov Danon; Hadar Averbuch-Elor; Ohad Fried; Daniel Cohen-Or (Comput. Vis. Media, 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)

Adaptive Photographic Composition Guidance. - Jane L. E; Ohad Fried; Jingwan Lu; Jianming Zhang 001; Radomír Mech; Jose Echevarria; Pat Hanrahan; James A. Landay (CHI, 2020)

Detecting Deep-Fake Videos from Phoneme-Viseme Mismatches. - Shruti Agarwal; Hany Farid; Ohad Fried; Maneesh Agrawala (CVPR Workshops, 2020)

Lifespan Age Transformation Synthesis. - Roy Or-El; Soumyadip Sengupta; Ohad Fried; Eli Shechtman; Ira Kemelmacher-Shlizerman (ECCV (6), 2020)

Editing self-image. - Ohad Fried; Jennifer Jacobs 001; Adam Finkelstein; Maneesh Agrawala (Commun. ACM, 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; et al. (Comput. Graph. Forum, 2020)

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; et al. (SIGGRAPH Courses, 2021)

Dynamic Guidance for Decluttering Photographic Compositions. - Jane L.; Kevin Y. Zhai; Jose Echevarria; Ohad Fried; Pat Hanrahan; James A. Landay (UIST, 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)

Iterative Text-Based Editing of Talking-Heads Using Neural Retargeting. - Xinwei Yao 002; Ohad Fried; Kayvon Fatahalian; Maneesh Agrawala (ACM Trans. Graph., 2021)

Blended Diffusion for Text-driven Editing of Natural Images. - Omri Avrahami; Dani Lischinski; Ohad Fried (CVPR, 2022)

Disentangled3D: Learning a 3D Generative Model with Disentangled Geometry and Appearance from Monocular Images. - Ayush Tewari; Mallikarjun B. R. 001; Xingang Pan; Ohad Fried; Maneesh Agrawala; Christian Theobalt (CVPR, 2022)

GAN Cocktail: Mixing GANs Without Dataset Access. - Omri Avrahami; Dani Lischinski; Ohad Fried (ECCV (23), 2022)

DeepShadow: Neural Shape from Shadow. - Asaf Karnieli; Ohad Fried; Yacov Hel-Or (ECCV (2), 2022)

ReFace: Improving Clothes-Changing Re-Identification With Face Features. - Daniel Arkushin; Bar Cohen; Shmuel Peleg; Ohad Fried (CoRR, 2022)

Neural Font Rendering. - Daniel Anderson; Ariel Shamir; Ohad Fried (CoRR, 2022)

Taming a Generative Model. - Shimon Malnick; Shai Avidan; Ohad Fried (CoRR, 2022)

FakeOut: Leveraging Out-of-domain Self-supervision for Multi-modal Video Deepfake Detection. - Gil Knafo; Ohad Fried (CoRR, 2022)

Prediction of Scene Plausibility. - Or Nachmias; Ohad Fried; Ariel Shamir (CoRR, 2022)

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 001 (CVPR, 2023)

Ham2Pose: Animating Sign Language Notation into Pose Sequences. - Rotem Shalev-Arkushin; Amit Moryossef; Ohad Fried (CVPR, 2023)

Break-A-Scene: Extracting Multiple Concepts from a Single Image. - Omri Avrahami; Kfir Aberman; Ohad Fried; Daniel Cohen-Or; Dani Lischinski (SIGGRAPH Asia, 2023)

Diffusing Colors: Image Colorization with Text Guided Diffusion. - Nir Zabari; Aharon Azulay; Alexey Gorkor; Tavi Halperin; Ohad Fried (SIGGRAPH Asia, 2023)

DDNeRF: Depth Distribution Neural Radiance Fields. - David Dadon; Ohad Fried; Yacov Hel-Or (WACV, 2023)

Deep Image Fingerprint: Accurate And Low Budget Synthetic Image Detector. - Sergey Sinitsa; Ohad Fried (CoRR, 2023)

Blended Latent Diffusion. - Omri Avrahami; Ohad Fried; Dani Lischinski (ACM Trans. Graph., 2023)

Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation. - Eyal Michaeli; Ohad Fried (NeurIPS, 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 (SIGGRAPH (Conference Paper Track), 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 (SIGGRAPH Asia, 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 (SIGGRAPH Asia, 2024)

GEFF: Improving Any Clothes-Changing Person ReID Model Using Gallery Enrichment with Face Features. - Daniel Arkushin; Bar Cohen; Shmuel Peleg; Ohad Fried (WACV (Workshops), 2024)

Taming Normalizing Flows. - Shimon Malnick; Shai Avidan; Ohad Fried (WACV, 2024)

Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage Analysis. - Sergey Sinitsa; Ohad Fried (WACV, 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)

Stable Flow: Vital Layers for Training-Free Image Editing. - Omri Avrahami; Or Patashnik; Ohad Fried; Egor Nemchinov; Kfir Aberman; Dani Lischinski; Daniel Cohen-Or (CVPR, 2025)

Tiled Diffusion. - Or Madar; Ohad Fried (CVPR, 2025)

Memories of Forgotten Concepts. - Matan Rusanovsky; Shimon Malnick; Amir Jevnisek; Ohad Fried; Shai Avidan (CVPR, 2025)

REED-VAE: RE-Encode Decode Training for Iterative Image Editing with Diffusion Models. - Gal Almog; Ariel Shamir; Ohad Fried (Comput. Graph. Forum, 2025)

Differential Diffusion: Giving Each Pixel Its Strength. - Eran Levin; Ohad Fried (Comput. Graph. Forum, 2025)

ImageRAG: Dynamic Image Retrieval for Reference-Guided Image Generation. - Rotem Shalev-Arkushin; Rinon Gal; Amit H. Bermano; Ohad Fried (CoRR, 2025)

Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark. - Yaron Aloni; Rotem Shalev-Arkushin; Yonatan Shafir; Guy Tevet; Ohad Fried; Amit Haim Bermano (CoRR, 2025)