Shelly Sheynin

According to our database, Shelly Sheynin authored at least 9 papers between 2021 and 2024.

Collaborative distances:

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

2024

Video Editing via Factorized Diffusion Distillation.

Uriel Singer, Amit Zohar, Yuval Kirstain, Shelly Sheynin, Adam Polyak, Devi Parikh, Yaniv Taigman

CoRR, 2024

2023

Emu Edit: Precise Image Editing via Recognition and Generation Tasks.

Shelly Sheynin, Adam Polyak, Uriel Singer, Yuval Kirstain, Amit Zohar, Oron Ashual, Devi Parikh, Yaniv Taigman

CoRR, 2023

Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning.

Lili Yu, Bowen Shi, Ramakanth Pasunuru, Benjamin Muller, Olga Golovneva, Tianlu Wang, Arun Babu, Binh Tang, Brian Karrer, Shelly Sheynin, Candace Ross, Adam Polyak, Russell Howes, Vasu Sharma, Puxin Xu, Hovhannes Tamoyan, Oron Ashual, Uriel Singer, Shang-Wen Li, Susan Zhang, Richard James, Gargi Ghosh, Yaniv Taigman, Maryam Fazel-Zarandi, Asli Celikyilmaz, Luke Zettlemoyer, Armen Aghajanyan

CoRR, 2023

Text-To-4D Dynamic Scene Generation.

Uriel Singer, Shelly Sheynin, Adam Polyak, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson, Yaniv Taigman

Proceedings of the International Conference on Machine Learning, 2023

kNN-Diffusion: Image Generation via Large-Scale Retrieval.

Shelly Sheynin, Oron Ashual, Adam Polyak, Uriel Singer, Oran Gafni, Eliya Nachmani, Yaniv Taigman

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors.

Oran Gafni, Adam Polyak, Oron Ashual, Shelly Sheynin, Devi Parikh, Yaniv Taigman

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Deep learning model of fMRI connectivity predicts PTSD symptom trajectories in recent trauma survivors.

Shelly Sheynin, Lior Wolf, Ziv Ben-Zion, Jony Sheynin, Shira Reznik, Jackob Nimrod Keynan, Roee Admon, Arieh Shalev, Talma Hendler, Israel Liberzon

NeuroImage, 2021

Locally Shifted Attention With Early Global Integration.

Shelly Sheynin, Sagie Benaim, Adam Polyak, Lior Wolf

CoRR, 2021

A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection.

Shelly Sheynin, Sagie Benaim, Lior Wolf

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021