New: "The Amazing Stability of Flow Matching" accepted to EurIPS PriGM Workshop 2025. New:"Express4D" accepted to ICCV DataCV Workshop 2025 (oral). New:"Tiled Diffusion" presented at CVPR 2025. New:"Memories of Forgotten Concepts" presented (as a highlight 🔥) at CVPR 2025. New:"Stable Flow" presented at CVPR 2025. New:"Differential Diffusion" presented at Eurographics 2025. New:"REED-VAE" presented at Eurographics 2025. New:"V-LASIK" presented at ICLR SynthData Workshop 2025.
About Me
🎓 Academia. I am an associate professor of computer science at Reichman University.
Prior to that, I was a postdoctoral research scholar at Stanford University, working with Prof. Maneesh Agrawala.
For my PhD I worked with Prof. Adam Finkelstein
as part of the Princeton Graphics group.
I hold an M.Sc. in Computer Science and a B.Sc. in Computational Biology, both from The Hebrew University.
My work lies in the intersection of computer graphics, computer vision, and GenAI.
More specifically, my research focuses on tools, algorithms, and new paradigms for photo and video editing and synthesis.
💼 Industry. I have previously worked for Texas Instruments, Google, and Adobe. More recently, I was a principle research scientist at
deepdub.ai, and I am currently an advisor for
Eikona.
Publications
R. Briq, M. Kamp, O. Fried, S. Cohen and S. Kesselheim. The Amazing Stability of Flow Matching.
EurIPS PriGM Workshop, 2025.
Y. Aloni, R. Shalev-Arkushin, Y. Shafir, G. Tevet, O. Fried and A. H. Bermano. Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark.
ICCV DataCV Workshop, 2025. [webpage][paper][code]
M. Rusanovsky, S. Malnick, A. Jevnisek, O. Fried and S. Avidan. Memories of Forgotten Concepts.
CVPR, 2025. [webpage][pdf][code]
O. Avrahami, O. Patashnik, O. Fried, E. Nemchinov, K. Aberman, D. Lischinski and D. Cohen-Or. Stable Flow: Vital Layers for Training-Free Image Editing.
CVPR, 2025. [webpage][pdf][video]
E. Levin and O. Fried. Differential Diffusion: Giving Each Pixel Its Strength.
Eurographics, 2025. [webpage][pdf][code][colab][demo]
G. Almog, A. Shamir and O. Fried. REED-VAE: RE-Encode Decode Training for Iterative Image Editing with Diffusion Models.
Eurographics, 2025. [webpage][pdf][code]
R. Shalev-Arkushin, A. Azulay, T. Halperin, E. Richardson, A. H. Bermano and O. Fried. V-LASIK: Consistent Glasses-Removal from Videos Using Synthetic Data.
ICLR SynthData Workshop, 2025. [webpage][paper][code]
O. Nachmias, O. Fried and A. Shamir. Prediction of Scene Plausibility.
Computational Visual Media, 2025. [pdf]
E. Michaeli and O. Fried. SaSPA: Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation.
NeurIPS, 2024. [webpage][pdf][code]
S. Raab, I. Gat, N. Sala, G. Tevet, R. Shalev-Arkushin, O. Fried, A. H. Bermano and D. Cohen-Or. Monkey See, Monkey Do: Harnessing Self-attention in Motion Diffusion for Zero-shot Motion Transfer.
SIGGRAPH Asia, 2024. [webpage][pdf][video][code]
O. Avrahami, R. Gal, G. Chechik, O. Fried, D. Lischinski, A. Vahdat and W. Nie. DiffUHaul: A Training-Free Method for Object Dragging in Images.
SIGGRAPH Asia, 2024. [webpage][pdf][video]
O. Avrahami, A. Hertz, Y. Vinker, M. Arar, S. Fruchter, O. Fried, D. Cohen-Or and D. Lischinski. The Chosen One: Consistent Characters in Text-to-Image Diffusion Models.
SIGGRAPH, 2024. [webpage][pdf][video]
S. Malnick, S. Avidan and O. Fried. Taming Normalizing Flows.
WACV, 2024. [webpage][pdf][code]
S. Sinitsa and O. Fried. Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage Analysis.
WACV, 2024. [webpage][pdf][code]
D. Arkushin, B. Cohen, S. Peleg and O. Fried. GEFF: Improving Any Clothes-Changing Person ReID Model using Gallery Enrichment with Face Features.
RWS Workshop, WACV, 2024. [webpage][pdf][code]
N. Zabari, A. Azulay, A. Gorkor, T. Halperin and O. Fried. Diffusing Colors: Image Colorization with Text Guided Diffusion.
SIGGRAPH Asia, 2023. [webpage][pdf]
O. Avrahami, K. Aberman, O. Fried, D. Cohen-Or and D. Lischinski. Break-A-Scene: Extracting Multiple Concepts from a Single Image.
SIGGRAPH Asia, 2023. [webpage][pdf][code][video]
O. Avrahami, O. Fried and D. Lischinski. Blended Latent Diffusion.
ACM Transactions on Graphics (Proc. SIGGRAPH), 2023. [webpage][pdf][code]
O. Avrahami, T. Hayes, O. Gafni, S. Gupta, Y. Taigman, D. Parikh, D. Lischinski, O. Fried and X. Yin. SpaText: Spatio-Textual Representation for Controllable Image Generation.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [webpage][pdf]
R. Shalev-Arkushin, A. Moryossef and O. Fried. Ham2Pose: Animating Sign Language Notation into Pose Sequences.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [webpage][pdf][code]
D. Dadon, O. Fried and Y. Hel-Or. DDNeRF: Depth Distribution Neural Radiance Fields.
WACV, 2023. [webpage][pdf][code]
O. Avrahami, D. Lischinski and O. Fried. GAN Cocktail: mixing GANs without dataset access.
ECCV, 2022. [webpage][pdf][code]
A. Karnieli, O. Fried and Y. Hel-Or. DeepShadow: Neural Shape from Shadow.
ECCV, 2022. [webpage][pdf][code]
O. Avrahami, D. Lischinski and O. Fried. Blended Diffusion for Text-driven Editing of Natural Images.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [webpage][pdf][code]
A. Tewari, M. Byrasandra Ramalinga, X. Pan, O. Fried, M. Agrawala and C. Theobalt. Disentangled3D: Learning a 3D Generative Model with Disentangled Geometry and Appearance from Monocular Images.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [webpage][pdf]
J. L. E, K. Y. Zhai, J. Echevarria, O. Fried, P. Hanrahan and J. A. Landay. Dynamic Guidance for Decluttering Photographic Compositions.
ACM User Interface Software and Technology Symposium (UIST), 2021. [webpage][video (presentation)][video (short)][video (shorter)][pdf]
A. Tewari, O. Fried, J. Thies, V. Sitzmann, S. Lombardi, Z. Xu, T. Simon, M. Nießner, E. Tretschk, L. Liu, B. Mildenhall, P. Srinivasan, R. Pandey, S. Orts-Escolano, S. Fanello, M. Guo, G. Wetzstein, J.-Y. Zhu, C. Theobalt, M. Agrawala, D. B Goldman and M. Zollhöfer.
Advances in Neural Rendering.
ACM SIGGRAPH Courses, 2021. [webpage][video-1][video-2]
T. Halperin, H. Hakim, O. Vantzos, G. Hochman, N. Benaim, L. Sassy, M. Kupchik, O. Bibi and O. Fried. Endless Loops: Detecting and Animating Periodic Patterns in Still Images.
ACM Transactions on Graphics (Proc. SIGGRAPH), 2021. [webpage][video][pdf][blog]
X. Yao, O. Fried, K. Fatahalian and M. Agrawala. Iterative Text-based Editing of Talking-heads Using Neural Retargeting.
ACM Transactions on Graphics, 2021. [webpage][video][pdf][supp]
S. Agarwal, H. Farid, O. Fried and M. Agrawala. Detecting Deep-Fake Videos from Phoneme-Viseme Mismatches.
CVPR Workshop on Media Forensics, 2020 [pdf][bib]
A. Tewari*, O. Fried*, J. Thies*, V. Sitzmann*, S. Lombardi, K. Sunkavalli, R. Martin-Brualla, T. Simon, J. Saragih, M. Nießner, R. Pandey, S. Fanello, G. Wetzstein, J.-Y. Zhu, C. Theobalt, M. Agrawala, E. Shechtman, D. B Goldman and M. Zollhöfer.
(* equal contribution) State of the Art on Neural Rendering.
Computer Graphics Forum (Eurographics STAR report), 2020 [pdf][talk][bib]
J. L. E, O. Fried, J. Lu, J. Zhang, R. Mech, J. Echevarria, P. Hanrahan and J. A. Landay. Adaptive Photographic Composition Guidance.
CHI, 2020 [webpage][pdf][video][talk][bib]
O. Fried, J. Jacobs, A. Finkelstein and M. Agrawala. Editing Self Image.
Communications of the ACM, 2020 [pdf][bib]
O. Fried, A. Tewari, M. Zollhöfer, A. Finkelstein, E. Shechtman, D. B Goldman, K. Genova, Z. Jin, C. Theobalt and M. Agrawala. Text-based Editing of Talking-head Video.
ACM Transactions on Graphics (Proc. SIGGRAPH), 2019 [webpage][pdf][video][bib]
O. Fried and M. Agrawala. Puppet Dubbing.
The 30th Eurographics Symposium on Rendering (EGSR), 2019 [pdf][video][results][bib]
D. Danon, H. Averbuch-Elor, O. Fried and D. Cohen-Or. Unsupervised Natural Image Patch Learning.
Computational Visual Media, 2019. Best paper award. [pdf][bib]
B. Ward, M. Ward, O. Fried and B. Paskhover. Nasal Distortion in Short-Distance Photographs: The Selfie Effect.
JAMA Facial Plastic Surgery, 2018 [pdf][bib]
O. Fried and B. Paskhover. Perceived Facial Distortions in Selfies Are Explained by Viewing Habits—Reply.
JAMA Facial Plastic Surgery, 2018 [pdf][bib]
O. Fried, S. Avidan and D. Cohen-Or. Patch2Vec: Globally Consistent Image Patch Representation.
Computer Graphics Forum (Proc. Pacific Graphics), 2017 [pdf][video][supp][bib]
O. Fried. Photo Manipulation, The Easy Way.
PhD Dissertation, Princeton University, 2017
[pdf][bib]
O. Fried, E. Shechtman, D. B Goldman and A. Finkelstein. Perspective-aware Manipulation of Portrait Photos.
ACM Transactions on Graphics (Proc. SIGGRAPH), 2016 [webpage][pdf][video][bib]
H. Chang, O. Fried, Y. Liu, S. DiVerdi and A. Finkelstein. Palette-based Photo Recoloring.
ACM Transactions on Graphics (Proc. SIGGRAPH), 2015 [pdf][video][demo][webpage][bib]
O. Fried, S. DiVerdi, M. Halber, E. Sizikova and A. Finkelstein. IsoMatch: Creating Informative Grid Layouts.
36th Annual Conference of the European Association for Computer Graphics (Eurographics), 2015 [pdf][video][code][bib]
O. Fried, Z. Jin, R. Oda and A. Finkelstein. AudioQuilt: 2D Arrangements of Audio Samples using Metric Learning and Kernelized Sorting.
14th International Conference on New Interfaces for Musical Expression (NIME), 2014 [pdf][video][bib]
O. Fried, and R. Fiebrink. Cross-modal Sound Mapping Using Deep Learning.
Proc. New Interfaces for Musical Expression (NIME), 2013 [pdf][video][bib]
O. Fried. Texture Synthesis for Particle Infused Textures.
Masters Thesis, The Hebrew University of Jerusalem, Israel, 2012 [pdf]
O. Fried. Single-cell Resolution Analysis of Yeast Response to Osmo-Stress.
Undergrad Thesis, The Hebrew University of Jerusalem, Israel, 2010
Tutorials
A. Tewari*, O. Fried*, J. Thies*, V. Sitzmann*, S. Lombardi, K. Sunkavalli, R. Martin-Brualla, T. Simon, J. Saragih, M. Nießner, R. Pandey, S. Fanello, G. Wetzstein, J.-Y. Zhu, C. Theobalt, M. Agrawala, E. Shechtman, D. B Goldman and M. Zollhöfer.
(* equal contribution) Neural Rendering.
CVPR Tutorial, 2020 [webpage][morning session][afternoon session]
Another interesting read that mentions our research:
[Washington Post].
Wired video on photography, referencing some of our past research:
[video].
Our research letter in JAMA Facial Plastic Surgery
received some media attention!
As of April 6, 2018, it has the #1 Altmetric score in JAMA Facial Plastic Surgery (#1 of 566) and is in the top 0.02% of all outputs tracked by Altmetric (#2219 of 9,569,234).
[Altmetric]
Image Distractor Detection and Processing, US9665962 B2
Optimizing Photo Album Layouts, US9424671 B1
Teaching
Reichman University — "GenAI for Games & Entertainment", spring 2025
Reichman University — "Advanced Programming", fall 2020–2024
Reichman University — "Synthetic Media Detection", spring 2024
Reichman University — "The Computer As A Content Creator", spring 2023
Reichman University — "Advanced Seminar on Virtual Humans", spring 2022
Reichman University — "Advanced Seminar on Neural Rendering", spring 2021
Stanford University — "Computational Video Manipulation", spring 2019
Princeton University — Teaching Assistant, "Computer Graphics", spring 2013
Princeton University — Teaching Assistant, "Computer Vision", fall 2013
Princeton University — Teaching Assistant, "MATLAB short course on programming", fall 2013
Hebrew University of Jerusalem — "Introduction to Software and System Security", fall 2011/12
Hebrew University of Jerusalem — "Introduction to Software and System Security", spring 2011
Throughout the years, I also reviewed for ECCV, ICLR, TPAMI, The Israel Science Foundation (ISF), WACV, UIST, Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Transactions on Graphics, Transactions on Applied Perception, International Journal of Human-Computer Interaction, The Visual Computer, Transactions on Multimedia, and Transactions on Image Processing.
