Andrey Voynov

According to our database, Andrey Voynov authored at least 21 papers between 2019 and 2026.

Collaborative distances:

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

2026

Versatile Editing of Video Content, Actions, and Dynamics without Training.

Vladimir Kulikov, Roni Paiss, Andrey Voynov, Inbar Mosseri, Tali Dekel, Tomer Michaeli

CoRR, March, 2026

Typst: A Modern Typesetting Engine for Science.

Andrey Voynov, Alberto Corbi, Pau López-Oliver, David Gil

Int. J. Interact. Multim. Artif. Intell., 2026

2025

MotionV2V: Editing Motion in a Video.

Ryan D. Burgert, Charles Herrmann, Forrester Cole, Michael S. Ryoo, Neal Wadhwa, Andrey Voynov, Nataniel Ruiz

CoRR, November, 2025

Visual Diffusion Models are Geometric Solvers.

Nir Goren, Shai Yehezkel, Omer Dahary, Andrey Voynov, Or Patashnik, Daniel Cohen-Or

CoRR, October, 2025

Navigating with Annealing Guidance Scale in Diffusion Space.

Shai Yehezkel, Omer Dahary, Andrey Voynov, Daniel Cohen-Or

Proceedings of the SIGGRAPH Asia 2025 Conference Papers, 2025

2024

PALP: Prompt Aligned Personalization of Text-to-Image Models.

Moab Arar, Andrey Voynov, Amir Hertz, Omri Avrahami, Shlomi Fruchter, Yael Pritch, Daniel Cohen-Or, Ariel Shamir

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

Curved Diffusion: A Generative Model with Optical Geometry Control.

Andrey Voynov, Amir Hertz, Moab Arar, Shlomi Fruchter, Daniel Cohen-Or

Proceedings of the Computer Vision - ECCV 2024, 2024

ReNoise: Real Image Inversion Through Iterative Noising.

Daniel Garibi, Or Patashnik, Andrey Voynov, Hadar Averbuch-Elor, Daniel Cohen-Or

Proceedings of the Computer Vision - ECCV 2024, 2024

Style Aligned Image Generation via Shared Attention.

Amir Hertz, Andrey Voynov, Shlomi Fruchter, Daniel Cohen-Or

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

2023

Concept Decomposition for Visual Exploration and Inspiration.

Yael Vinker, Andrey Voynov, Daniel Cohen-Or, Ariel Shamir

ACM Trans. Graph., December, 2023

AnyLens: A Generative Diffusion Model with Any Rendering Lens.

Andrey Voynov, Amir Hertz, Moab Arar, Shlomi Fruchter, Daniel Cohen-Or

CoRR, 2023

P+: Extended Textual Conditioning in Text-to-Image Generation.

Andrey Voynov, Qinghao Chu, Daniel Cohen-Or, Kfir Aberman

CoRR, 2023

Sketch-Guided Text-to-Image Diffusion Models.

Andrey Voynov, Kfir Aberman, Daniel Cohen-Or

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

2022

When, Why, and Which Pretrained GANs Are Useful?

Timofey Grigoryev, Andrey Voynov, Artem Babenko

Proceedings of the Tenth International Conference on Learning Representations, 2022

Label-Efficient Semantic Segmentation with Diffusion Models.

Dmitry Baranchuk, Andrey Voynov, Ivan Rubachev, Valentin Khrulkov, Artem Babenko

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Object Segmentation Without Labels with Large-Scale Generative Models.

Andrey Voynov, Stanislav Morozov, Artem Babenko

Proceedings of the 38th International Conference on Machine Learning, 2021

On Self-Supervised Image Representations for GAN Evaluation.

Stanislav Morozov, Andrey Voynov, Artem Babenko

Proceedings of the 9th International Conference on Learning Representations, 2021

Navigating the GAN Parameter Space for Semantic Image Editing.

Anton Cherepkov, Andrey Voynov, Artem Babenko

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Big GANs Are Watching You: Towards Unsupervised Object Segmentation with Off-the-Shelf Generative Models.

Andrey Voynov, Stanislav Morozov, Artem Babenko

CoRR, 2020

Unsupervised Discovery of Interpretable Directions in the GAN Latent Space.

Andrey Voynov, Artem Babenko

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

RPGAN: GANs Interpretability via Random Routing.

Andrey Voynov, Artem Babenko

CoRR, 2019