Andrey Voynov

Orcid: 0009-0000-2997-9601

According to our database1, Andrey Voynov authored at least 15 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
ReNoise: Real Image Inversion Through Iterative Noising.
CoRR, 2024

PALP: Prompt Aligned Personalization of Text-to-Image Models.
CoRR, 2024

Style Aligned Image Generation via Shared Attention.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Concept Decomposition for Visual Exploration and Inspiration.
ACM Trans. Graph., December, 2023

AnyLens: A Generative Diffusion Model with Any Rendering Lens.
CoRR, 2023

P+: Extended Textual Conditioning in Text-to-Image Generation.
CoRR, 2023

Sketch-Guided Text-to-Image Diffusion Models.
Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

2022
When, Why, and Which Pretrained GANs Are Useful?
Proceedings of the Tenth International Conference on Learning Representations, 2022

Label-Efficient Semantic Segmentation with Diffusion Models.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Object Segmentation Without Labels with Large-Scale Generative Models.
Proceedings of the 38th International Conference on Machine Learning, 2021

On Self-Supervised Image Representations for GAN Evaluation.
Proceedings of the 9th International Conference on Learning Representations, 2021

Navigating the GAN Parameter Space for Semantic Image Editing.
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.
CoRR, 2020

Unsupervised Discovery of Interpretable Directions in the GAN Latent Space.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
RPGAN: GANs Interpretability via Random Routing.
CoRR, 2019


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