"Zero-Shot" Super-Resolution using Deep Internal Learning A Shocher, N Cohen, M Irani
IEEE Conference on Computer Vision and Pattern Recognition, 2018. CVPR 2018., 2018
1024 2018 Blind super-resolution kernel estimation using an internal-gan S Bell-Kligler, A Shocher, M Irani
Advances in Neural Information Processing Systems 32, 2019
562 2019 "Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors Y Gandelsman, A Shocher, M Irani
IEEE Conference on Computer Vision and Pattern Recognition, 2019. CVPR 2019., 2019
380 2019 InGAN: Capturing and Retargeting the “DNA” of a Natural Image A Shocher, S Bagon, P Isola, M Irani
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 4491-4500, 2019
229 * 2019 Aim 2019 challenge on real-world image super-resolution: Methods and results A Lugmayr, M Danelljan, R Timofte, M Fritsche, S Gu, K Purohit, ...
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019
112 2019 Drop the gan: In defense of patches nearest neighbors as single image generative models N Granot, B Feinstein, A Shocher, S Bagon, M Irani
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
73 2022 Semantic Pyramid for Image Generation A Shocher, Y Gandelsman, I Mosseri, M Yarom, M Irani, WT Freeman, ...
CVPR 2020, 2020
63 2020 Double-DIP”: Unsupervised image decomposition via coupled deep-image-priors. In 2019 IEEE Y Gandelsman, A Shocher, M Irani
CVF Conference on Computer Vision and Pattern Recognition (CVPR) 11018, 11027, 2019
24 2019 The hidden language of diffusion models H Chefer, O Lang, M Geva, V Polosukhin, A Shocher, M Irani, I Mosseri, ...
arXiv preprint arXiv:2306.00966, 2023
18 2023 Rosetta neurons: Mining the common units in a model zoo A Dravid, Y Gandelsman, AA Efros, A Shocher
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
18 2023 Diverse generation from a single video made possible N Haim, B Feinstein, N Granot, A Shocher, S Bagon, T Dekel, M Irani
European Conference on Computer Vision, 491-509, 2022
18 2022 Idempotent generative network A Shocher, A Dravid, Y Gandelsman, I Mosseri, M Rubinstein, AA Efros
arXiv preprint arXiv:2311.01462, 2023
17 2023 From discrete to continuous convolution layers A Shocher, B Feinstein, N Haim, M Irani
arXiv preprint arXiv:2006.11120, 2020
15 2020 Improving correlation based super-resolution microscopy images through image fusion by self-supervised deep learning LM Beck, A Shocher, U Rossman, A Halfon, M Irani, D Oron
Optics Express 32 (16), 28195-28205, 2024
4 2024 Diverse video generation from a single video N Haim, B Feinstein, N Granot, A Shocher, S Bagon, T Dekel, M Irani
arXiv preprint arXiv:2205.05725, 2022
3 2022 Stochastic positional embeddings improve masked image modeling A Bar, F Bordes, A Shocher, M Assran, P Vincent, N Ballas, T Darrell, ...
Forty-first International Conference on Machine Learning, 0
2 RL-RC-DoT: A Block-level RL agent for Task-Aware Video Compression U Gadot, A Shocher, S Mannor, G Chechik, A Hallak
arXiv preprint arXiv:2501.12216, 2025
2025 IT N Durasov, A Shocher, D Oner, G Chechik, AA Efros, P Fua
arXiv preprint arXiv:2410.04201, 2024
2024 Signal enhancement and manipulation using a signal-specific deep network M Irani, A Shocher
US Patent 11,907,835, 2024
2024 Predicting masked tokens in stochastic locations improves masked image modeling A Bar, F Bordes, A Shocher, M Assran, P Vincent, N Ballas, T Darrell, ...
arXiv preprint arXiv:2308.00566, 2023
2023 
Michal IraniProfessor of Computer Science, Weizmann InstituteBestätigte E-Mail-Adresse bei weizmann.ac.il
