Assaf Shocher

According to our database, Assaf Shocher authored at least 15 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Idempotent Generative Network.

Assaf Shocher, Amil Dravid, Yossi Gandelsman, Inbar Mosseri, Michael Rubinstein, Alexei A. Efros

CoRR, 2023

Predicting masked tokens in stochastic locations improves masked image modeling.

Amir Bar, Florian Bordes, Assaf Shocher, Mahmoud Assran, Pascal Vincent, Nicolas Ballas, Trevor Darrell, Amir Globerson, Yann LeCun

CoRR, 2023

The Hidden Language of Diffusion Models.

Hila Chefer, Oran Lang, Mor Geva, Volodymyr Polosukhin, Assaf Shocher, Michal Irani, Inbar Mosseri, Lior Wolf

CoRR, 2023

Rosetta Neurons: Mining the Common Units in a Model Zoo.

Amil Dravid, Yossi Gandelsman, Alexei A. Efros, Assaf Shocher

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Diverse Video Generation from a Single Video.

Niv Haim, Ben Feinstein, Niv Granot, Assaf Shocher, Shai Bagon, Tali Dekel, Michal Irani

CoRR, 2022

Diverse Generation from a Single Video Made Possible.

Niv Haim, Ben Feinstein, Niv Granot, Assaf Shocher, Shai Bagon, Tali Dekel, Michal Irani

Proceedings of the Computer Vision - ECCV 2022, 2022

Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models.

Niv Granot, Ben Feinstein, Assaf Shocher, Shai Bagon, Michal Irani

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

From Discrete to Continuous Convolution Layers.

Assaf Shocher, Ben Feinstein, Niv Haim, Michal Irani

CoRR, 2020

Semantic Pyramid for Image Generation.

Assaf Shocher, Yossi Gandelsman, Inbar Mosseri, Michal Yarom, Michal Irani, William T. Freeman, Tali Dekel

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Blind Super-Resolution Kernel Estimation using an Internal-GAN.

Sefi Bell-Kligler, Assaf Shocher, Michal Irani

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results.

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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

InGAN: Capturing and Retargeting the "DNA" of a Natural Image.

Assaf Shocher, Shai Bagon, Phillip Isola, Michal Irani

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors.

Yossi Gandelsman, Assaf Shocher, Michal Irani

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Internal Distribution Matching for Natural Image Retargeting.

Assaf Shocher, Shai Bagon, Phillip Isola, Michal Irani

CoRR, 2018

"Zero-Shot" Super-Resolution Using Deep Internal Learning.

Assaf Shocher, Nadav Cohen, Michal Irani

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018