"Zero-Shot" Super-Resolution Using Deep Internal Learning. - Assaf Shocher; Nadav Cohen; Michal Irani (CVPR, 2018)

Internal Distribution Matching for Natural Image Retargeting. - Assaf Shocher; Shai Bagon; Phillip Isola; Michal Irani (CoRR, 2018)

"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors. - Yossi Gandelsman; Assaf Shocher; Michal Irani (CVPR, 2019)

InGAN: Capturing and Retargeting the "DNA" of a Natural Image. - Assaf Shocher; Shai Bagon; Phillip Isola; Michal Irani (ICCV, 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 001; Martin Danelljan; et al. (ICCV Workshops, 2019)

Blind Super-Resolution Kernel Estimation using an Internal-GAN. - Sefi Bell-Kligler; Assaf Shocher; Michal Irani (NeurIPS, 2019)

Semantic Pyramid for Image Generation. - Assaf Shocher; Yossi Gandelsman; Inbar Mosseri; Michal Yarom; Michal Irani; William T. Freeman; Tali Dekel (CVPR, 2020)

From Discrete to Continuous Convolution Layers. - Assaf Shocher; Ben Feinstein; Niv Haim; Michal Irani (CoRR, 2020)

Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models. - Niv Granot; Ben Feinstein; Assaf Shocher; Shai Bagon; Michal Irani (CVPR, 2022)

Diverse Generation from a Single Video Made Possible. - Niv Haim; Ben Feinstein; Niv Granot; Assaf Shocher; Shai Bagon; Tali Dekel; Michal Irani (ECCV (17), 2022)

Diverse Video Generation from a Single Video. - Niv Haim; Ben Feinstein; Niv Granot; Assaf Shocher; Shai Bagon; Tali Dekel; Michal Irani (CoRR, 2022)

Rosetta Neurons: Mining the Common Units in a Model Zoo. - Amil Dravid; Yossi Gandelsman; Alexei A. Efros; Assaf Shocher (ICCV, 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 (ICLR, 2024)

Idempotent Generative Network. - Assaf Shocher; Amil Dravid; Yossi Gandelsman; Inbar Mosseri; Michael Rubinstein; Alexei A. Efros (ICLR, 2024)

Stochastic positional embeddings improve masked image modeling. - Amir Bar; Florian Bordes; Assaf Shocher; Mido Assran; Pascal Vincent; Nicolas Ballas; Trevor Darrell; Amir Globerson; Yann LeCun (ICML, 2024)

IT3: Idempotent Test-Time Training. - Nikita Durasov; Assaf Shocher; Doruk Öner; Gal Chechik; Alexei A. Efros; Pascal Fua (CoRR, 2024)

RL-RC-DoT: A Block-level RL agent for Task-Aware Video Compression. - Uri Gadot; Assaf Shocher; Shie Mannor; Gal Chechik; Assaf Hallak (CVPR, 2025)

KernelFusion: Assumption-Free Blind Super-Resolution via Patch Diffusion. - Oliver Heinimann; Assaf Shocher; Tal Zimbalist; Michal Irani (CoRR, 2025)