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ORCIDAssaf Shocher
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2020 – today
- 2024
[c12]Hila Chefer, Oran Lang, Mor Geva, Volodymyr Polosukhin, Assaf Shocher, Michal Irani, Inbar Mosseri, Lior Wolf:
The Hidden Language of Diffusion Models. ICLR 2024- [c11]Assaf Shocher, Amil Dravid, Yossi Gandelsman, Inbar Mosseri, Michael Rubinstein, Alexei A. Efros:
Idempotent Generative Network. ICLR 2024 - [c10]Amir Bar, Florian Bordes, Assaf Shocher, Mido Assran, Pascal Vincent, Nicolas Ballas, Trevor Darrell, Amir Globerson, Yann LeCun:
Stochastic positional embeddings improve masked image modeling. ICML 2024 - [i14]Nikita Durasov, Assaf Shocher, Doruk Öner, Gal Chechik, Alexei A. Efros, Pascal Fua:
IT3: Idempotent Test-Time Training. CoRR abs/2410.04201 (2024) - 2023
- [c9]Amil Dravid, Yossi Gandelsman, Alexei A. Efros, Assaf Shocher:
Rosetta Neurons: Mining the Common Units in a Model Zoo. ICCV 2023: 1934-1943 - [i13]Hila Chefer, Oran Lang, Mor Geva
, Volodymyr Polosukhin, Assaf Shocher, Michal Irani, Inbar Mosseri, Lior Wolf:
The Hidden Language of Diffusion Models. CoRR abs/2306.00966 (2023) - [i12]Amil Dravid, Yossi Gandelsman, Alexei A. Efros, Assaf Shocher:
Rosetta Neurons: Mining the Common Units in a Model Zoo. CoRR abs/2306.09346 (2023) - [i11]Amir Bar, Florian Bordes, Assaf Shocher, Mahmoud Assran, Pascal Vincent, Nicolas Ballas, Trevor Darrell, Amir Globerson, Yann LeCun:
Predicting masked tokens in stochastic locations improves masked image modeling. CoRR abs/2308.00566 (2023) - [i10]Assaf Shocher, Amil Dravid, Yossi Gandelsman, Inbar Mosseri, Michael Rubinstein, Alexei A. Efros:
Idempotent Generative Network. CoRR abs/2311.01462 (2023) - 2022
- [c8]Niv Granot, Ben Feinstein, Assaf Shocher, Shai Bagon, Michal Irani:
Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models. CVPR 2022: 13450-13459 - [c7]Niv Haim, Ben Feinstein, Niv Granot, Assaf Shocher, Shai Bagon, Tali Dekel, Michal Irani:
Diverse Generation from a Single Video Made Possible. ECCV (17) 2022: 491-509 - [i9]Niv Haim, Ben Feinstein, Niv Granot, Assaf Shocher, Shai Bagon, Tali Dekel, Michal Irani:
Diverse Video Generation from a Single Video. CoRR abs/2205.05725 (2022) - 2021
- [i8]Niv Granot, Assaf Shocher, Ben Feinstein, Shai Bagon, Michal Irani:
Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models. CoRR abs/2103.15545 (2021) - [i7]Niv Haim, Ben Feinstein, Niv Granot, Assaf Shocher, Shai Bagon, Tali Dekel, Michal Irani:
Diverse Generation from a Single Video Made Possible. CoRR abs/2109.08591 (2021) - 2020
- [c6]Assaf Shocher, Yossi Gandelsman, Inbar Mosseri, Michal Yarom, Michal Irani, William T. Freeman, Tali Dekel:
Semantic Pyramid for Image Generation. CVPR 2020: 7455-7464 - [i6]Assaf Shocher, Yossi Gandelsman, Inbar Mosseri, Michal Yarom, Michal Irani, William T. Freeman, Tali Dekel:
Semantic Pyramid for Image Generation. CoRR abs/2003.06221 (2020) - [i5]Assaf Shocher, Ben Feinstein, Niv Haim, Michal Irani:
From Discrete to Continuous Convolution Layers. CoRR abs/2006.11120 (2020)
2010 – 2019
- 2019
- [c5]Yossi Gandelsman, Assaf Shocher, Michal Irani:
"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors. CVPR 2019: 11026-11035 - [c4]Assaf Shocher, Shai Bagon, Phillip Isola, Michal Irani:
InGAN: Capturing and Retargeting the "DNA" of a Natural Image. ICCV 2019: 4491-4500 - [c3]Andreas Lugmayr, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Martin Danelljan, Xinbo Gao, Sefi Bell-Kligler, Assaf Shocher, Michal Irani, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan:
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. ICCV Workshops 2019: 3575-3583 - [c2]Sefi Bell-Kligler, Assaf Shocher, Michal Irani:
Blind Super-Resolution Kernel Estimation using an Internal-GAN. NeurIPS 2019: 284-293 - [i4]Sefi Bell-Kligler, Assaf Shocher, Michal Irani:
Blind Super-Resolution Kernel Estimation using an Internal-GAN. CoRR abs/1909.06581 (2019) - 2018
- [c1]Assaf Shocher, Nadav Cohen, Michal Irani:
"Zero-Shot" Super-Resolution Using Deep Internal Learning. CVPR 2018: 3118-3126 - [i3]Assaf Shocher, Shai Bagon, Phillip Isola, Michal Irani:
Internal Distribution Matching for Natural Image Retargeting. CoRR abs/1812.00231 (2018) - [i2]Yossi Gandelsman, Assaf Shocher, Michal Irani:
"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors. CoRR abs/1812.00467 (2018) - 2017
- [i1]Assaf Shocher, Nadav Cohen, Michal Irani:
"Zero-Shot" Super-Resolution using Deep Internal Learning. CoRR abs/1712.06087 (2017)
Coauthor Index
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