Levon Khachatryan


I am a senior machine learning researcher specializing in computer vision, with expertise in generative modeling, segmentation and classical computer vision. Currently driving innovation at Picsart, where I contribute to groundbreaking projects in image and video domains. Additionally, I share my knowledge and expertise as a Computer Vision Lecturer in the Applied Statistics and Data Science Master’s program at Yerevan State University, while also supervising master’s theses for students.

My current research focuses on Generative AI in Computer Vision, particularly I am recently working on:

  • Image/Video Generation
  • Controllable Image/Video Editing

Google Scholar Semantic Scholar CV Mail LinkedIn

Profile picture

Publications

Project image
StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text
Roberto Henschel*, Levon Khachatryan*, Daniil Hayrapetyan*, Hayk Poghosyan, Vahram Tadevosyan, Zhangyang Wang, Shant Navasardyan, Humphrey Shi,
arXiv.org (under review) , 2024
Project Page / Code / Hugging Face / Video /
@article{streamingt2v,
    title={StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text},
    author={Henschel, Roberto and Khachatryan, Levon and Hayrapetyan, Daniil and Poghosyan, Hayk and Tadevosyan, Vahram and Wang, Zhangyang and Navasardyan, Shant and Shi, Humphrey},
    journal={arXiv preprint arXiv:2403.14773},
    year={2024}
  }
Project image
Continuous Adaptation for Interactive Segmentation Using Teacher-Student Architecture
Barsegh Atanyan, Levon Khachatryan, Shant Navasardyan, Yunchao Wei, Humphrey Shi,
Proc. of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , 2024
Supplemental /
@InProceedings{Atanyan_2024_WACV,
    author    = {Atanyan, Barsegh and Khachatryan, Levon and Navasardyan, Shant and Wei, Yunchao and Shi, Humphrey},
    title     = {Continuous Adaptation for Interactive Segmentation Using Teacher-Student Architecture},
    booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
    month     = {January},
    year      = {2024},
    pages     = {789-799}
}
Project image
Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators
Levon Khachatryan*, Andranik Movsisyan*, Vahram Tadevosyan*, Roberto Henschel*, Zhangyang Wang, Shant Navasardyan, Humphrey Shi,
Proc. of the IEEE/CVF International Conference on Computer Vision (ICCV Oral), 2023
Project Page / Code / Hugging Face / Video /
@article{text2video-zero,
    title={Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators},
    author={Khachatryan, Levon and Movsisyan, Andranik and Tadevosyan, Vahram and Henschel, Roberto and Wang, Zhangyang and Navasardyan, Shant and Shi, Humphrey},
    journal={arXiv preprint arXiv:2303.13439},
    year={2023}
}
Project image
FaceCLIP: Facial Image-to-Video Translation via A Brief Text Description
Jiayi Guo, Hayk Manukyan, Chenyu Yang, Chaofei Wang, Levon Khachatryan, Shant Navasardyan, Shiji Song, Humphrey Shi, Gao Huang,
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023
@ARTICLE{10310257,
  author={Guo, Jiayi and Manukyan, Hayk and Yang, Chenyu and Wang, Chaofei and Khachatryan, Levon and Navasardyan, Shant and Song, Shiji and Shi, Humphrey and Huang, Gao},
  journal={IEEE Transactions on Circuits and Systems for Video Technology}, 
  title={FaceCLIP: Facial Image-to-Video Translation via A Brief Text Description}, 
  year={2023},
  volume={},
  number={},
  pages={1-1},
  keywords={Task analysis;Training;Faces;Solid modeling;Three-dimensional displays;Image synthesis;Image reconstruction;autoencoder;CLIP;facial video generation;image-to-video translation;text-guided;transformer},
  doi={10.1109/TCSVT.2023.3330920}
}
Project image
Collaborative content-dependent modeling: A return to the roots of salient object detection
Siyu Jiao, Vidit Goel, Shant Navasardyan, Zongxin Yang, Levon Khachatryan, Yi Yang, Yunchao Wei, Yao Zhao, Humphrey Shi,
IEEE Transactions on Image Processing (TIP), 2023
@ARTICLE{10183835,
  author={Jiao, Siyu and Goel, Vidit and Navasardyan, Shant and Yang, Zongxin and Khachatryan, Levon and Yang, Yi and Wei, Yunchao and Zhao, Yao and Shi, Humphrey},
  journal={IEEE Transactions on Image Processing}, 
  title={Collaborative Content-Dependent Modeling: A Return to the Roots of Salient Object Detection}, 
  year={2023},
  volume={32},
  number={},
  pages={4237-4246},
  keywords={Convolution;Task analysis;Head;Feature extraction;Decoding;Transformers;Object detection;Salient object detection;content-dependent modeling},
  doi={10.1109/TIP.2023.3293759}
}

Selected Recent Student Theses

Project image
Multi-Concept Customization of Diffusion Models
Mariam Gasoyan, Levon Khachatryan