About Me
**Currently I am a guest professor at the Computer Graphics Lab @ ETH Zurich**. Except that, I am an Associate Professor at the Blavatnik School of Computer Science in Tel-Aviv University. My research focuses on Generative modeling in the visual domain, with emphasis on Human Motion Generation, Image Control, and 3D Shape Processing. I am also interested in the wider Visual Computing domain, including various topics in Computer Vision, Computational Fabrication (3D printing), Music Understanding and ML-related Ethics. I use tools from macine Machine Learning (of course...) and Geometry Processing to advance and connect these fields. As I am also interested in medical imaging, I co-led the Computer- and Neuro-Science undergraduate track for two years. Previously, I was a postdoctoral Researcher at the Princeton Graphics Group, hosted by Professor Szymon Rusinkiewicz and Professor Thomas Funkhouser. Before that, I was a postdoctoral researcher at Disney Research Zurich. I have conducted my Ph.D. studies at ETH Zurich under the supervision of Prof. Dr. Markus Gross, in collaboration with the computational materials group of Disney Research Zurich. My Masters and Bachelors degrees were obtained at The Technion - Israel Institute of Technology under the supervision of Prof. Craig Gotsman.
Office: CAB G69.3
E-mail: amberman@tauex.tau.ac.il or amberman@ethz.ch
News
Team
Current
Alumni
Research
2025
Amir Barda, Matheus Gadelha, Vladimir G. Kim, Noam Aigerman, Amit H. Bermano, Thibault Groueix
"Instant3dit: Multiview inpainting for fast editing of 3d objects", CVPR 2025
[Project Page] [Paper]
Yonathan Yaffe, Ben Maman, Meinard Müller, Amit H. Bermano
"Count The Notes: Histogram-Based Supervision for Automatic Music Transcription", ISMIR 2025
[Paper]
Yotam Erel, Rishabh Dabral, Vladislav Golyanik, Amit H. Bermano, Christian Theobalt
"PractiLight: Practical Light Control Using Foundational Diffusion Models", Siggraph Asia 2025
[Project Page] [Paper]
Yaron Aloni, Rotem Shalev-Arkushin, Yonatan Shafir, Guy Tevet, Ohad Fried, Amit H. Bermano
"Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark", ICCV DataCV workshop 2025
[Project Page] [Paper]
Inbar Gat, Sigal Raab, Guy Tevet, Yuval Reshef, Amit H. Bermano, Daniel Cohen-Or
"Anytop: Character animation diffusion with any topology", Siggraph 2025
[Project Page] [Paper]
Yotam Erel, Olaf Dünkel, Rishabh Dabral, Vladislav Golyanik, Christian Theobalt, Amit H. Bermano "Attention (as Discrete-Time Markov) Chains", Neurips 2025
[Project Page] [Paper]
Rinon Gal, Adi Haviv, Yuval Alaluf, Amit H. Bermano, Daniel Cohen-Or, Gal Chechik
"Comfygen: Prompt-adaptive workflows for text-to-image generation", ICLR MCDC workshop 2025
[Project Page] [Paper]
Rotem Shalev-Arkushin, Aharon Azulay, Tavi Halperin, Eitan Richardson, Amit H. Bermano, Ohad Fried
"V-LASIK: Consistent Glasses-Removal from Videos Using Synthetic Data", ICLR SynthData workshop 2025
[Project Page] [Paper]
2024
Yotam Erel, Or Kozlovsky-Mordenfeld, Daisuke Iwai, Kosuke Sato, Amit H. Bermano
"Casper dpm: Cascaded perceptual dynamic projection mapping onto hands", SIGGRAPH Asia + Emerging Technologies 2024 Best Student Demo
[Project Page] [Paper]
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", SIGGRAPH Asia 2024
[Project Page] [Paper]
Amir Barda, Vladimir Kim, Noam Aigerman, Amit H. Bermano, Thibault Groueix
"Magicclay: Sculpting meshes with generative neural fields", SIGGRAPH Asia 2024
[Project Page] [Paper]
Ben Maman, Johannes Zeitler, Meinard Müller, Amit H. Bermano
"Multi-Aspect Conditioning for Diffusion-Based Music Synthesis: Enhancing Realism and Acoustic Control", TASLP 2024
[Project Page] [Paper]
EJ Tenenbaum, C Stone, MH Vu, M Hare, KR Gilyard, S Arunachalam, E Bergelson, SL Bishop, MC Frank, JK Hamlin, M Kline-Struhl, RJ Landa, C Lew-Williams, ME Libertus, RJ Luyster, J Markant, M Sabatos-DeVito, SJ Sheinkopf, JB Wagner, K Park, AI Soderling, AK Waterman, JN Grapel, AH Bermano, Y Erel, S Jeste
"Remote Infant Studies of Early Learning (RISE): Scalable online replications of key findings in infant cognitive development", Developmental psychology 2024
[Paper]
Rinon Gal, Or Lichter, Elad Richardson, Or Patashnik, Amit H Bermano, Gal Chechik, Daniel Cohen-Or
"Lcm-lookahead for encoder-based text-to-image personalization", ECCV 2024
[Project Page] [Paper]
R Po, W Yifan, V Golyanik, K Aberman, JT Barron, AH Bermano, E Chan, T Dekel, A Holynski, A Kanazawa, CK Liu, L Liu, B Mildenhall, M Nießner, B Ommer, C Theobalt, P Wonka, G Wetzstein
"State of the art on diffusion models for visual computing", Eurographics State-of-The-Art Report 2024
[Paper]
Ben Maman, Johannes Zeitler, Meinard Müller, Amit H. Bermano
"Performance conditioning for diffusion-based multi-instrument music synthesis", ICASSP 2024
[Project Page] [Paper]
Adi Haviv, Shahar Sarfaty, Uri Hacohen, Niva Elkin-Koren, Roi Livni, Amit H. Bermano
"Not Every Image is Worth a Thousand Words: Quantifying Originality in Stable Diffusion", ICML GenLaw workshop 2024
[Paper]
Uri Hacohen, Adi Haviv, Shahar Sarfaty, Bruria Friedman, Niva Elkin-Koren, Roi Livni, Amit H. Bermano
"Not All Similarities Are Created Equal: Leveraging Data-Driven Biases to Inform GenAI Copyright Disputes", ACM CSLAW 2024
[Paper]
Rinon Gal, Yael Vinker, Yuval Alaluf, Amit H. Bermano, Daniel Cohen-Or, Ariel Shamir, Gal Chechik
"Breathing life into sketches using text-to-video priors", CVPR 2024 Highlight
[Project Page] [Paper]
Roy Kapon, Guy Tevet, Daniel Cohen-Or, Amit H. Bermano
"Mas: Multi-view ancestral sampling for 3d motion generation using 2d diffusion", CVPR 2024
[Project Page] [Paper]
Yonatan Shafir, Guy Tevet, Roy Kapon, Amit H. Bermano
"Human motion diffusion as a generative prior", ICLR 2024
[Project Page] [Paper]
Sigal Raab, Inbal Leibovitch, Guy Tevet, Moab Arar, Amit H. Bermano, Daniel Cohen-Or
"Single Motion Diffusion", ICLR 2024 Spotlight
[Project Page] [Paper]
2023
Moab Arar, Rinon Gal, Yuval Atzmon, Gal Chechik, Daniel Cohen-Or, Ariel Shamir, Amit H. Bermano
"Domain-agnostic tuning-encoder for fast personalization of text-to-image models", SIGGRAPH Asia 2023
[Project Page] [Paper]
Yotam Erel, Daisuke Iwai, Amit H. Bermano
"Neural Projection Mapping Using Reflectance Fields", ISMAR 2023
[Project Page] [Paper]
Ofir Bar-Tal, Adi Haviv, Amit H. Bermano
"Omg-attack: Self-supervised on-manifold generation of transferable evasion attacks", ICCV AROW workshop 2023
[Paper]
Haim Sawdayee, Amir Vaxman, Amit H. Bermano
"Orex: Object reconstruction from planar cross-sections using neural fields", CVPR 2023
[Paper]
Amir Barda, Guy Tevet, Adriana Schulz, Amit H. Bermano"Generative Design of Sheet Metal Structures", Siggraph 2023
[Publication Page]
Y Erel, K Adams Shannon, J Chu, K Scott, M Kline Struhl, P Cao, X Tan, P Hart, G Raz, S Piccolo, C Mei, C Potter, S Jaffe-Dax, C Lew-Williams, J Tenenbaum, K Fairchild, AH Bermano, S Liu "iCatcher+: Robust and Automated Annotation of Infants’ and Young Children’s Gaze Behavior From Videos Collected in Laboratory, Field, and Online Studies", Advances in Methods and Practices in Psychological Science 2023
[Publication Page]
Rinon Gal, Moab Arar, Yuval Atzmon, Amit H Bermano, Gal Chechik, Daniel Cohen-Or"Designing an encoder for fast personalization of text-to-image models", Siggraph 2023
[Project Page]
Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or,"An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion", ICLR 2023 Spotlight
[Project Page]
Guy Tevet, Sigal Raab, Brian Gordon, Yonatan Shafir, Daniel Cohen-Or, Amit H. Bermano"MDM: Human Motion Diffusion Model", ICLR 2023 Spotlight
[Project Page]
2022
Yuval Alaluf, Omer Tov, Ron Mokady, Rinon Gal, Amit H. Bermano,"Hyperstyle: Stylegan inversion with hypernetworks for real image editing", CVPR 2022
[Project Page]
Amit H Bermano, Rinon Gal, Yuval Alaluf, Ron Mokady, Yotam Nitzan, Omer Tov, Or Patashnik, Daniel Cohen-Or,"State-of-the-Art in the Architecture, Methods and Applications of StyleGAN", Eurographics 2022 (State-of-the-Art Reports Track)
[Publication Page]
Ben Maman, Amit H. Bermano,"Unaligned Supervision for Automatic Music Transcription in The Wild", ICML 2022.
[Project Page]
Moab Arar, Ariel Shamir, Amit H. Bermano,"Learned Queries for Efficient Local Attention", CVPR 2022 Oral Presentation
[Project Page]
Rotem Tzaban, Ron Mokady, Rinon Gal, Amit H. Bermano, Daniel Cohen-Or,"Stitch it in Time: GAN-Based Facial Editing of Real Videos", Siggraph Asia 2022
[Project Page]
Yunzhe Liu, Rinon Gal, Amit H. Bermano, Baoquan Chen, Daniel Cohen-Or,"Self-Conditioned Generative Adversarial Networks for Image Editing", Siggraph 2022
[Project Page]
Yael Vinker, Ehsan Pajouheshgar, Jessica Y. Bo, Roman Bachmann,
Amit Haim Bermano, Daniel Cohen-Or, Amir Zamir, Ariel Shamir,"CLIPasso: Semantically-Aware Object Sketching", Siggraph 2022, Best Paper Award
[Project Page]
Dvir Yerushalmi, Dov Danon, Amit H. Bermano,"Leveraging in-domain supervision for unsupervised image-to-image translation tasks via multi-stream generators", CVM 2022.
[Paper]
Guy Tevet*, Brian Gordon*, Amir Hertz, Amit H. Bermano, Daniel Cohen-Or,"MotionCLIP: Exposing Human Motion Generation to CLIP Space", ECCV 2022.
[Project Page]
Rinon Gal, Or Patashnik, Haggai Maron, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or,"StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators", Siggraph 2022.
[Project Page]
Yotam Erel, Christine E. Potter, Sagi Jaffe-Dax, Casey Lew-Williams, Amit H. Bermano,"iCatcher: A Neural Network Approach for Automated Coding of Young Children’s Eye Movements", Infancy 2022.
[Publication Page]
Dor Amran, Moran Artzi, Orna Aizenstein, Dafna Ben Bashat, Amit H. Bermano,"BV-GAN: 3D TOF-MRA Cerebrovascular vessels segmentation using adversarial CNNs", Journal of Medical Imaging (JMI) 2022.
[Publication Page]
Ben Maman, Amit H. Bermano,"Typenet: Towards Camera Enabled Touch Typing on Flat Surfaces through Self-Refinement", WACV 2022.
[Publication Page]
Daniel Roich, Ron Mokady, Amit H. Bermano, Daniel Cohen-Or,"Pivotal Tuning for Latent-based Editing of Real Images ", ToG 2022.
[Project Page]
2021
Matan Serry, Dov Danon, Hagit Shechter, Amit H. Bermano ,"Explainable 3D Reconstruction Using Deep Geometric Prior", Microsoft Journal of Applied Research 2021.
[Paper] [.bib]
Ron Mokady, Rotem Tzaban, Sagie Benaim, Amit H. Bermano, Danny Cohen-Or,"JOKR: Joint Keypoint Representation for Unsupervised Cross-Domain Motion Retargeting", SIGGRAPH 2021.
[Project Page] [Paper] [.bib]
Rinon Gal, Amit H. Bermano, Hao Zhang, Daniel Cohen-Or,"MRGAN: Multi-Rooted 3D Shape Representation Learning With Unsupervised Part Disentanglement", ICCV Workshop, 2021.
[Publication Page]
Rinon Gal, Dana Cohen, Amit H. Bermano, Daniel Cohen-Or,"SWAGAN: A Style-based Wavelet-driven Generative Model", SIGGRAPH 2021.
[Project Page (+code)] [Paper] [.bib]
Sagie Benaim, Ron Mokady, Amit H. Bermano, Daniel Cohen-Or, Lior Wolf,"Structural-analogy from a Single Image Pair", Computer Graphics Forum 2021.
[Project Page (+code)] [Paper] [.bib]
Yotam Erel, Sagi Jaffe-Dax, Yaara Yeshurun, Amit H. Bermano,"STORM-Net: Simple and Timely Optode Registration Method for Functional Near-Infrared Spectroscopy (fNIRS)", bioRxiv 2021.
[Project Page (+code)]
Moab Arar, Ariel Shamir, Amit H. Bermano,"InAugment: Improving Classifiers via Internal Augmentation", IEEE Interactive Labeling and Data Augmentation for Vision (ILDAV) 2021.
[Github] [Paper] [.bib]
2020
Moab Arar, Noa Fish, Dani Daniel, Evgeny Tenetov, Ariel Shamir, Amit H. Bermano,"Focus-and-Expand: Training Guidance Through Gradual Manipulation of Input Features", arXiv 2020.
[paper] [.bib]
Or Patashnik, Min Lu, Amit H. Bermano, Daniel Cohen-Or,"Temporal Scatterplots", Computational Visual Media 2020, Honorable Mention Award.
[Paper] [.bib]
Noa Fish, Lilach Perry, Amit H. Bermano, Daniel Cohen-Or,"SketchPatch: Sketch Stylization via Seamless Patch-level Synthesis", Siggraph Asia 2020.
[paper] [.bib]
Yotam Nitzan, Amit H. Bermano, Yangyan Li, Daniel Cohen-Or,"Disentangling in Latent Space by Harnessing a Pretrained Generator", Siggraph Asia 2020.
[paper] [.bib]
Sagi Jaffe-Dax*, Amit H. Bermano*, Yotam Erel, Lauren L. Emberson,"Video-based motion-resilient reconstruction of 3D position for fNIRS/EEG head mounted probes", NeuroPhotonics 2020.
[paper] [.bib]
Julia Chatain*, Danielle M. Sisserman*, Lea Reichardt, Violaine Fayolle, Manu Kapur, Robert W. Sumner, Fabio Zünd, Amit H. Bermano,"𝑫𝒊𝒈𝒊𝑮𝒍𝒐: Exploring the Palm as an Input and Display Mechanism through Digital Gloves", CHIPlay 2020.
[Project Page] [paper] [.bib]
Ron Mokady, Sagie Benaim, Lior Wolf, Amit H. Bermano,"Mask Based Unsupervised Content Transfer", ICLR 2020.
[Presentation and Materials Page] [paper] [.bib]
Moab Arar, Yiftach Ginger, Dov Danon, Amit H. Bermano, Daniel Cohen-Or,"Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation", Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[Paper Page] [.bib]
pre 2020
Felix Petersen, Amit H Bermano, Oliver Deussen, Daniel Cohen-Or,"Pix2vex: Image-to-geometry reconstruction using a smooth differentiable renderer", arXiv, 2019.
[arXiv Page] [.bib]
A Pavon, PG Masci, AH Bermano, A Vaxman, C Gotsman, N Lauriers, D Rodrigues, P Monney, T Rutz, E Eeckhout, O Muller, J Schwitter,"The role of left atrium in patient with myocardial infarction with ST-segment elevation (STEMI)", European Heart Journal-Cardiovascular Imaging, 2019.
[Publication Page] [.bib]
C Blanche, AH Bermano, A Vaxman, C Gotsman, R Charrier, D Piccini, J Bouchardy, A Pavon, G Vincenti, P Monney, M Stuber, J Schwitter, T Rutz,"Compressed sensing single-breath-hold cardiac magnetic resonance for quantification of right ventricular volumes in congenital heart disease", European Heart Journal-Cardiovascular Imaging, 2019.
[Publication Page] [.bib]
Xinyi Fan, Amit H. bermano, Vladimir G. Kim, Jovan Popovic, and Szymon Rusinkiewicz,"Tooncap: a layered deformable model for capturing poses from cartoon characters", Computer Graphics Forum (Proc. Eurographics), volume 2018.
[Project Page] [.pdf] [Video (.mp4)] [.bib]
Elena Balashova, Amit H. bermano, Vladimir G. Kim, Stephen Diverdi, Aaron Hertzmann and Thomas Funkhouser,"Learning A Stroke-Based Representation for Fonts", Computer Graphics Forum, volume 2018.
[.pdf] [.bib] [data: coming soon]
Marco Attene, Marco Livesu, Sylvain Lefebvre, Thomas Funkhouser, Szymon Rusinkiewicz, Stefano Ellero, Jonàs Martínez, Amit H. Bermano,"Design, Representations, and Processing for Additive Manufacturing", Morgan & Claypool Publishers, 2018.
[.pdf] [.bib]
Amit H. Bermano, Markus Billeter, Daisuke Iwai, and Anselm Grundhöfer,"Makeup Lamps: Live Augmentation of Human Faces via Projection", Computer Graphics Forum (Proc. Eurographics) 2017.
[Project Page] [.pdf] [Video (.mp4)] [.bib]
Noa Fish, Oliver van Kaick, Amit H. Bermano and Daniel Cohen-Or,"Structure-oriented Networks of Shape Collections", ACM Transactions On Graphics (Proc. SIGGRAPH Asia) 2016.
[Project Page] [.pdf] [Supplementary material] [.bib] [Matlab code]
Zünd, Fabio and Bérard, Pascal and Chapiro, Alexandre and Schmid, Stefan and Ryffel, Mattia and Gross, Markus and Bermano, Amit H. and Sumner, Robert W.,"Unfolding the 8-Bit Era", Conference on Visual Media Production (CVMP) 2015.
[Project Page] [.pdf] [Video (youtube)] [.bib]
[Ars Technica article] [Time-lapse setup video (youtube)]
Amit H. Bermano, Thabo Beeler, Yeara Kozlov, Derek Bradley, Bernd Bickel, Markus Gross,"Detailed Spatio-Temporal Reconstruction of Eyelids", ACM Transactions On Graphics (Proc. SIGGRAPH) 2015.
[Project Page] [.pdf] [Video (.wmv)] [.bib]
Orestis Vardoulis, Pierre Monney, Amit Bermano, Amir Vaxman, Craig Gotsman, Janine Schwitter, Matthias Stuber, Nikolaos Stergiopulos and Juerg Schwitter,"Single breath-hold 3D measurement of left atrial volume using compressed sensing cardiovascular magnetic resonance and a non-model-based reconstruction approach", Journal of Cardiovascular Magnetic Resonance (JCMR) 2015.
[Article Page] [.bib]
Amit H. Bermano, Derek Bradley, Thabo Beeler, Fabio Zünd, Derek Nowrouzezahrai, Ilya Baran, Olga Sorkine, Hanspeter Pfister, Robert W. Sumner, Bernd Bickel, Markus Gross,"Facial Performance Enhancement Using Dynamic Shape Space Analysis", ACM Transactions On Graphics 2014.
[Project Page] [.pdf] [Video (.mp4)] [.bib] [Usage in Avengers artice]
Amit H. Bermano, Philipp Bruschweiler, Anselm Grundhofer, Daisuke Iwai, Bernd Bickel, Markus Gross, "Augmenting Physical Avatars using Projector-based Illumination", ACM Transactions On Graphics (Proc. SIGGRAPH Asia) 2013.
[Project Page] [.pdf] [Video (.wmv)] [.bib]
Amit H. Bermano, Ilya Baran, Marc Alexa, Wojciech Matusik, "ShadowPIX: Multiple Images from Self-Shadowing", Computer Graphics Forum (Eurographics 2012).
[Project Page] [.pdf] [Video (.mp4)] [.bib]
Amit H. Bermano, Amir Vaxman, Craig Gotsman, "Online Reconstruction of 3D Objects from Arbitrary Cross-Sections", ACM Transactions On Graphics 2011.
[.pdf] [Video (.mov)] [.bib]