See How Many Clients You're Missing Each Month

Simply enter your business email & Topline AI Agent will show you.

Bio

Generated by
Topline AI
Ondrej Texler is a seasoned researcher and scientist with expertise in generative AI, computer vision, and deep learning. He has worked at top companies like Samsung Research America, Adobe, and HeyGen, leading research efforts in various projects, including generative video models, image-to-image translation, and neural rendering. He holds a PhD in Computer Science from the Czech Technical University in Prague and has a strong background in programming languages like C++, Java, and Python.

Experience

  • HeyGen
    • Los Angeles, California, United States
    • GenAI Researcher
      • Apr 2024 - Present
      • Los Angeles, California, United States

      Research of generative video models for content creation, including stable video diffusion models, diffusion transformers, GAN-based approaches.

  • Drip.Art
    • San Francisco, California, United States
    • Founding Research Scientist
      • Feb 2023 - May 2024
      • San Francisco, California, United States

      Leading the research efforts into creating an end-to-end Generative AI framework that allows for creating stylized videos and animations based on a text prompt; in particular, text-to-video synthesis, example-based video style transfer, and propagating edits through the video sequence.

    • United States
    • Software Development
    • 700 & Above Employee
    • Senior Research Scientist
      • Mar 2021 - Apr 2023

      Research and implementation of computer vision and deep learning techniques to render photorealistic virtual humans, focusing on faces. Involved conditional GANs, image-to-image translation networks, deferred neural rendering. Part of the NEON team.

    • Research Scientist Intern
      • Apr 2020 - Feb 2021

      Research and implementation of various image-to-image and video-to-video translation neural networks for face manipulation, e.g., adding makeup, changing skin tone, adding or removing scars or wrinkles. Part of the NEON team.

    • United States
    • Software Development
    • 700 & Above Employee
    • Remote Collaboration
      • Sep 2017 - Dec 2019

      Research & Development. Remote collaboration on several research projects, publications, and tech transfer project. Computer graphics; patch-based style transfer; neural-network-based style transfer.

    • Research Scientist Intern
      • Jul 2018 - Oct 2018

      Research & Development. Combining neural-network-based and patch-based style transfer methods. Chunk-based style transfer method with a focus on real-time performance.

  • Snap Inc.
    • Greater Los Angeles Area
    • Research Scientist Intern
      • Jul 2019 - Oct 2019
      • Greater Los Angeles Area

      Research of new techniques on training generative adversarial networks for style transfer tasks; focused on a scenario where a minimal amount of data is available, and an interactive response is required. Furthermore, developing a shader-based real-time stylization for human portraits.

  • Adobe
    • San Jose, California
    • Research Scientist Intern
      • Sep 2017 - Dec 2017
      • San Jose, California

      Research & Development. Guiding patch-based style transfer method using: convolutional neural networks, image harmonization, and histogram optimization. Integrating developed style transfer method into Adobe Photoshop.

  • Dynavix
    • Prague, The Capital, Czech Republic
    • Software Developer
      • Apr 2014 - Sep 2017
      • Prague, The Capital, Czech Republic

      Software Architecture & Development. The navigation application for smartphones, tablets, and PND devices. C++, Java (Android), JavaEE, Objective-C (iOS), C#.

  • Anathema Project Nemesis
    • Prague, The Capital, Czech Republic
    • Software Developer
      • Jan 2013 - Apr 2014
      • Prague, The Capital, Czech Republic

      Software & Database Development. The World of Warcraft game server. Extending game mechanics(C++); scripting artificial intelligence; data-mining.

Education

  • 2018 - 2021
    Faculty of Electrical Engineering, Czech Technical University in Prague
    Doctor of Philosophy - PhD, Computer Science
  • 2016 - 2018
    Czech Technical University in Prague
    Master of Science - MS, Computer Science
  • 2012 - 2015
    Czech Technical University in Prague
    Bachelor of Science - BS, Computer Science
  • 2004 - 2012
    Gymnázium Christiana Dopplera
    Mathematics and Physics

Suggested Services

This profile is unclaimed. These are suggested service rates with 0% commision upon successful connection

Industry Focus. “Computer Software”

Looking to Create a Custom Project?

Need a custom project? We'll create a solution designed specifically for your project.

Get Started

References

Community

You need to have a working account to view this content. Click here to join now

Similar Profiles