Yaniv Taigman

According to our database, Yaniv Taigman authored at least 34 papers between 2009 and 2024.

Collaborative distances:

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

2024

Movie Gen: A Cast of Media Foundation Models.

Adam Polyak, Amit Zohar, Andrew Brown, Andros Tjandra, Animesh Sinha, Ann Lee, Apoorv Vyas, Bowen Shi, Chih-Yao Ma, Ching-Yao Chuang, David Yan, Dhruv Choudhary, Dingkang Wang, Geet Sethi, Guan Pang, Haoyu Ma, Ishan Misra, Ji Hou, Jialiang Wang, Kiran Jagadeesh, Kunpeng Li, Luxin Zhang, Mannat Singh, Mary Williamson, Matt Le, Matthew Yu, Mitesh Kumar Singh, Peizhao Zhang, Peter Vajda, Quentin Duval, Rohit Girdhar, Roshan Sumbaly, Sai Saketh Rambhatla, Sam S. Tsai, Samaneh Azadi, Samyak Datta, Sanyuan Chen, Sean Bell, Sharadh Ramaswamy, Shelly Sheynin, Siddharth Bhattacharya, Simran Motwani, Tao Xu, Tianhe Li, Tingbo Hou, Wei-Ning Hsu, Xi Yin, Xiaoliang Dai, Yaniv Taigman, Yaqiao Luo, Yen-Cheng Liu, Yi-Chiao Wu, Yue Zhao, Yuval Kirstain, Zecheng He, Zijian He, Albert Pumarola, Ali K. Thabet, Artsiom Sanakoyeu, Arun Mallya, Baishan Guo, Boris Araya, Breena Kerr, Carleigh Wood, Ce Liu, Cen Peng, Dmitry Vengertsev, Edgar Schönfeld, Elliot Blanchard, Felix Juefei-Xu, Fraylie Nord, Jeff Liang, John Hoffman, Jonas Kohler, Kaolin Fire, Karthik Sivakumar, Lawrence Chen, Licheng Yu, Luya Gao, Markos Georgopoulos, Rashel Moritz, Sara K. Sampson, Shikai Li, Simone Parmeggiani, Steve Fine, Tara Fowler, Vladan Petrovic, Yuming Du

CoRR, 2024

Video Editing via Factorized Diffusion Distillation.

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

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Make-A-Video: Text-to-Video Generation without Text-Video Data.

Uriel Singer, Adam Polyak, Thomas Hayes, Xi Yin, Jie An, Songyang Zhang, Qiyuan Hu, Harry Yang, Oron Ashual, Oran Gafni, Devi Parikh, Sonal Gupta, Yaniv Taigman

Proceedings of the Eleventh International Conference on Learning Representations, 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

AudioGen: Textually Guided Audio Generation.

Felix Kreuk, Gabriel Synnaeve, Adam Polyak, Uriel Singer, Alexandre Défossez, Jade Copet, Devi Parikh, Yaniv Taigman, Yossi Adi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SpaText: Spatio-Textual Representation for Controllable Image Generation.

Omri Avrahami, Thomas Hayes, Oran Gafni, Sonal Gupta, Yaniv Taigman, Devi Parikh, Dani Lischinski, Ohad Fried, Xi Yin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Audio Language Modeling using Perceptually-Guided Discrete Representations.

Felix Kreuk, Yaniv Taigman, Adam Polyak, Jade Copet, Gabriel Synnaeve, Alexandre Défossez, Yossi Adi

CoRR, 2022

Multilingual Text-To-Speech Training Using Cross Language Voice Conversion And Self-Supervised Learning Of Speech Representations.

Jilong Wu, Adam Polyak, Yaniv Taigman, Jason Fong, Prabhav Agrawal, Qing He

Proceedings of the IEEE International Conference on Acoustics, 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

High Fidelity Speech Regeneration with Application to Speech Enhancement.

Adam Polyak, Lior Wolf, Yossi Adi, Ori Kabeli, Yaniv Taigman

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Unsupervised Generation of Free-Form and Parameterized Avatars.

Adam Polyak, Yaniv Taigman, Lior Wolf

IEEE Trans. Pattern Anal. Mach. Intell., 2020

TTS Skins: Speaker Conversion via ASR.

Adam Polyak, Lior Wolf, Yaniv Taigman

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Unsupervised Cross-Domain Singing Voice Conversion.

Adam Polyak, Lior Wolf, Yossi Adi, Yaniv Taigman

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Vid2Game: Controllable Characters Extracted from Real-World Videos.

Oran Gafni, Lior Wolf, Yaniv Taigman

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

A Universal Music Translation Network.

Noam Mor, Lior Wolf, Adam Polyak, Yaniv Taigman

Proceedings of the 7th International Conference on Learning Representations, 2019

Live Face De-Identification in Video.

Oran Gafni, Lior Wolf, Yaniv Taigman

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

2018

Visual Analogies between Atari Games for Studying Transfer Learning in RL.

Doron Sobol, Lior Wolf, Yaniv Taigman

CoRR, 2018

Fitting New Speakers Based on a Short Untranscribed Sample.

Eliya Nachmani, Adam Polyak, Yaniv Taigman, Lior Wolf

Proceedings of the 35th International Conference on Machine Learning, 2018

VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop.

Yaniv Taigman, Lior Wolf, Adam Polyak, Eliya Nachmani

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Voice Synthesis for in-the-Wild Speakers via a Phonological Loop.

Yaniv Taigman, Lior Wolf, Adam Polyak, Eliya Nachmani

CoRR, 2017

Unsupervised Cross-Domain Image Generation.

Yaniv Taigman, Adam Polyak, Lior Wolf

Proceedings of the 5th International Conference on Learning Representations, 2017

Unsupervised Creation of Parameterized Avatars.

Lior Wolf, Yaniv Taigman, Adam Polyak

Proceedings of the IEEE International Conference on Computer Vision, 2017

2015

Beyond frontal faces: Improving Person Recognition using multiple cues.

Ning Zhang, Manohar Paluri, Yaniv Taigman, Rob Fergus, Lubomir D. Bourdev

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Web-scale training for face identification.

Yaniv Taigman, Ming Yang, Marc'Aurelio Ranzato, Lior Wolf

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Multi-GPU Training of ConvNets.

Omry Yadan, Keith Adams, Yaniv Taigman, Marc'Aurelio Ranzato

Proceedings of the 2nd International Conference on Learning Representations, 2014

DeepFace: Closing the Gap to Human-Level Performance in Face Verification.

Yaniv Taigman, Ming Yang, Marc'Aurelio Ranzato, Lior Wolf

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2011

Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics.

Lior Wolf, Tal Hassner, Yaniv Taigman

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Leveraging Billions of Faces to Overcome Performance Barriers in Unconstrained Face Recognition

Yaniv Taigman, Lior Wolf

CoRR, 2011

2009

The One-Shot similarity kernel.

Lior Wolf, Tal Hassner, Yaniv Taigman

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Multiple One-Shots for Utilizing Class Label Information.

Yaniv Taigman, Lior Wolf, Tal Hassner

Proceedings of the British Machine Vision Conference, 2009

Similarity Scores Based on Background Samples.

Lior Wolf, Tal Hassner, Yaniv Taigman

Proceedings of the Computer Vision, 2009