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Ondrej Texler

Principal Research Scientist       Valka.ai

PhD graduate       CTU in Prague



"I'd rather be anything but ordinary, please"   
                            —Avril Lavigne

Short Bio

My entire research career has been revolving around generating realistically looking content given certain conditions, ranging from painterly images, animated stylized videos, to expressive photorealistic avatars with believable and controllable motion. I hold PhD in Computer Graphics, published over 10 papers at top venues such as CVPR or SIGGRAPH, have been cited over 300 times, have GitHub repositories with over 700 stars and 100 forks, co-invented 9 patents, created proof-of-concepts helping to raise multi-million seed round, shipped and released computer vision models and novel rendering pipelines unlocking millions of dollars in ARR, founded and led research teams, peer-reviewed tens of papers, won prizes such as the Best in Show Award at Real-Time Live SIGGRAPH or Joseph Fourier Prize, and gave invited talks and interviews at SIGGRAPH Now, ECCV, or BBC News.

Now, as a Principal Research Scientist at Valka.ai I manage and tech-lead the core video research team of 10+ research scientists and several university collaborations. Focusing on photorealistic rendering of human faces, hands, and bodies via neural rendering techniques including DiT, Gaussian Splatting, and GANs; conducting research into human hand motion modeling and face expression modeling.

News

  • [10/2025]: Our Meet-In-Style will be presented at the CG&A workshop @ SIGGRAPH Asia 2025
  • [04/2025]: Assuming a Principal Research Scientist position at Valka.ai to put together a research team to tackle what has never been achieved before! -- stay tuned!
  • [03/2025]: Our paper Meet-In-Style: Text-driven Real-time Video Stylization using Diffusion Models has been accepted to IEEE Computer Graphics and Applications.
  • [03/2025]: We finally published our 3D avatar paper 3D Engine-ready Photorealistic Avatars via Dynamic Textures.
  • [04/2024]: I am joining HeyGen as a Generative AI Researcher.
  • [04/2023]: I left Samsung and assumed a permanent position of a Founding Research Scientist at Drip.Art (rebranded as comfy.org).
  • [02/2023]: I joined Drip.Art (rebranded as comfy.org) as an external research advisor.
  • [03/2023]: Our Synthesizing Photorealistic Virtual Humans paper has been accepted to CVPR 2023!
  • [10/2022]: My National Interest Waiver Green Card application got approved!
  • [07/2022]: We filed 3 patents related to generating photorealistic virtual humans!
  • [01/2022]: I have been granted an O-1 U.S. visa in the science category.
  • [10/2021]: I have been awarded the Joseph Fourier Prize for my research on Style Transfer!
  • [07/2021]: I gave a talk at SIGGRAPH Now 2021!
  • [06/2021]: I was invited to give a talk at 2d3d.ai!
  • [04/2021]: I successfully defended my PhD thesis!
  • [03/2021]: I moved to California, and started a full-time position at NEON, Samsung Research America!
  • [02/2021]: Our paper FaceBlit: Instant Real-time Example-based Style Transfer to Facial Videos has been accepted to i3D 2021.
  • [11/2020]: I gave a talk for BBC News Arabic regarding our latest research.
  • [10/2020]: Our paper StyleProp: Real-time Example-based Stylization of 3D Models has been accepted to PacificGraphics 2020, Wellington, New Zealand.
  • [8/2020]: We presented our paper Interactive Video Stylization Using Few-Shot Patch-Based Training at SIGGRAPH2020 full paper session, as a short oral at ECCV2020 Deep Internal Learning workshop, and at Siggraph RealTime Live, where we have won the Best in Show Award!
  • [6/2020]: Recently, I defended "a proposal of a dissertation thesis" and passed a Doctoral State Exam. I plan to finish my PhD in early 2021.
  • [5/2020]: Our paper Interactive Video Stylization Using Few-Shot Patch-Based Training has been accepted to SIGGRAPH 2020.
  • [4/2020]: For the rest of the year 2020, I am joining Samsung Research America, the NEON team!
  • [12/2019]: Our paper Arbitrary Style Transfer Using Neurally-Guided Patch-Based Synthesis has been accepted to Computers & Graphics journal.
  • [4/2019]: For Summer/Fall 2019 I will join Snap Research at Santa Monica, Los Angeles, CA.
  • [4/2019]: Our paper Stylizing Video by Example has been accepted to SIGGRAPH 2019, Los Angeles, CA.
  • [4/2019]: On 5-May I am presenting Enhancing Neural Style Transfer using Patch-Based Synthesis at Expressive 2019, Genoa, Italy.
  • [3/2019]: On 6-May I am presenting Fast Example-Based Stylization with Local Guidance at EuroGraphics 2019, Genoa, Italy.

Selected Patents

  • Hierarchical Model-based Generation of Images
    • O. Texler, D. Dinev, A. Gupta, H.J. Kang, A. Liot, S. Ravichandran, S. Sadi
    • US Patent US17/967,868, December 2023
  • Creating Images, Meshes, and Talking Animations from Mouth Shape Data
    • S. Ravichandran, A. Liot, D. Dinev, O. Texler, H.J. Kang, J. Palan, S. Sadi
    • US Patent US17/967,872, December 2023
  • Multimodal Disentanglement for Generating Virtual Human Avatars
    • S. Ravichandran, D. Dinev, O. Texler, A. Gupta, J. Palan, H.J. Kang, A. Liot, S. Sadi
    • US Patent US18/296,202, January 2024
  • End-to-end System for Synthesizing Talking Virtual Human Avatars
    • D. Dinev, O. Texler, S. Ravichandran, J. Palan, H.J. Kang, A. Gupta, A. Unnikrishnan, A. Liot, S. Sadi
    • US Patent App. 63/436,058, December 2022
  • Architecture for Using 1D Inputs in Image-2-Image Translation Networks
    • H.J. Kang, S. Ravichandran, O. Texler, D. Dinev, A. Liot, S. Sadi
    • US Patent App. 63/436,211, December 2022
  • High-fidelity Neural Rendering of Images
    • D. Dinev, S. Ravichandran, H.J. Kang, O. Texler, A. Liot, S. Sadi
    • US Patent App. 63/461,199, January 2024
  • Cache-based Content Distribution Network
    • A. Liot, A. Unnikrishnan, S. Sadi, S. Banerjee, V. Gokul, J. Palan, H.J. Kang, O. Texler
    • US Patent App. 63/453,825, January 2024
  • Lightweight Rendering System with on-device Resolution Improvement
    • R. Lokesh, S. Banerjee, H.J. Kang, O. Texler, S. Sadi
    • US Patent App. 63/456,337, January 2024

Talks & Interviews

  • SIGGRAPH Now 2021, invited talk  
  • 2d3d.ai, invited talk, 2021  
  • BBC News Arabic, interview, 2020  
  • RealTime Live!, session at SIGGRAPH 2020  
  • ECCV 2020, short oral  
  • SIGGRAPH 2020, paper session  
  • Expressive 2019, paper session
  • EuroGraphics 2019, paper session
  • CESCG 2018, paper session

Review Services

  • SIGGRAPH Asia, ACM TOG: 2021, 2022, 2024, 2025
  • SIGGRAPH, ACM TOG: 2022
  • CAG, Computers & Graphics: 2023, 2024, 2025
  • AI4CC @ CVPR, AI for Content Creation Workshop: 2024
  • WACV, IEEE/CVF Winter Conference on Applications of Computer Vision: 2024
  • TVCG, IEEE Transactions on Visualization and Computer Graphics: 2022
  • Pacific Graphics, Computer Graphics Forum: 2021
  • CTU in Prague, Thesis Reviewer: 2024
  • Qeios: 2025

Publications

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Meet-In-Style: Text-driven Real-time Video Stylization using Diffusion Models

D. Kunz, O. Texler, D. Mould, and D. Sýkora

IEEE Computer Graphics and Applications, CG&A Workshop at SIGGRAPH Asia 2025

Project Page Paper Supplementary Video BibTeX
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3D Engine-ready Photorealistic Avatars via Dynamic Textures

Y. Wang, I. Molodetskikh, O. Texler, and D. Dinev

arXiv pre-print, 2025

Project Page Paper Supplementary Video BibTeX
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Synthesizing Photorealistic Virtual Humans Through Cross-modal Disentanglement

S. Ravichandran, O. Texler, D. Dinev, and HJ. Kang

IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023

Project Page Paper Supplementary PDF BibTeX
CVPR video/project page [Only registered CVPR attendees]
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FaceBlit: Instant Real-time Example-based Style Transfer to Facial Videos

A. Texler, O. Texler, M. Kučera, M. Chai, and D. Sýkora

In Proceedings of the ACM in Computer Graphics and Interactive Techniques, 4(1), 2021 (I3D 2021)

Project Page Paper Supplementary Video Presentation BibTeX
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StyleProp: Real-time Example-based Stylization of 3D Models

F. Hauptfleisch, O. Texler, A. Texler, J. Křivánek, and D. Sýkora

In Computer Graphics Forum 39(7):575-586  (PacificGraphics 2020)

Project Page Paper Supplementary Video BibTeX
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Interactive Video Stylization Using Few-Shot Patch-Based Training

O. Texler, D. Futschik, M. Kučera, O. Jamriška, Š. Sochorová, M. Chai, S. Tulyakov, and D. Sýkora

In ACM Transactions on Graphics 39(4):73  (SIGGRAPH 2020), Best in Show Award at SIGGRAPH Real-Time Live!

Project Page Paper SIGGRAPH Talk GitHub Supplementary Presentation BibTeX
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Arbitrary Style Transfer Using Neurally-Guided Patch-Based Synthesis

O. Texler, D. Futschik, J. Fišer, M. Lukáč, J. Lu, E. Shechtman, and D. Sýkora

In Computers & Graphics 87:62-71  (January 2020)

Project Page Paper GitHub BibTeX
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Stylizing Video by Example

O. Jamriška, Š. Sochorová, O. Texler, M. Lukáč, J. Fišer, J. Lu, E. Shechtman, and D. Sýkora

In ACM Transactions on Graphics 38(4):107  (SIGGRAPH 2019, Los Angeles, California, July 2019)

Project Page Paper Supplementary Demo BibTeX
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Enhancing Neural Style Transfer using Patch-Based Synthesis

O. Texler, J. Fišer, M. Lukáč, J. Lu, E. Shechtman, and D. Sýkora

In Proceedings of the 8th ACM/EG Expressive Symposium, pp. 43-50  (Expressive 2019, Genoa, Italy, May 2019)

Project Page Paper GitHub Interactive Supplementary Presentation BibTeX
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StyleBlit: Fast Example-Based Stylization with Local Guidance

D. Sýkora, O. Jamriška, O. Texler, J. Fišer, M. Lukáč, J. Lu and E. Shechtman

In Computer Graphics Forum 38(2):83-91  (Eurographics 2019, Genoa, Italy, May 2019)

Project Page Paper GitHub Supplementary Presentation Unity3D Asset BibTeX
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Example-Based Stylization of Navigation Maps on Mobile Devices

O. Texler and D. Sýkora

In Proceedings of the 22nd Central European Seminar on Computer Graphics.  (CESCG 2018, Smolenice, Slovakia, 2018)

Paper Presentation

Professional Experience

present
Valka.ai, Los Angeles, California
Principal Research Scientist
4/2025 ‒ present

Managing and leading the core video research team of 10+ research scientists and several university collaborations. Focusing on photorealistic rendering of human faces, hands, and bodies via neural rendering techniques including DiT, Gaussian Splatting, and GANs; conducting research into human hand motion modeling and face expression modeling.

HeyGen, Los Angeles, California
GenAI Research Scientist
4/2024 ‒ 3/2025

Research of core avatar rendering technology. Developed a deferred neural rendering pipeline, shipped several GAN-based models and a novel scheme for rapid training of highly-realistic and expressive avatars, researched transformer-based diffusion models; unlocking multi-million revenue streams.

Drip Artificial, San Francisco, California
Founding Research Scientist
2/2023 ‒ 4/2024

(Rebranded as comfy.org) Leading the research efforts into developing an end-to-end Generative AI framework that allows for creating stylized videos based on a text prompt; in particular, text-to-video synthesis, example-based video style transfer, and propagating edits through the video sequence. Helping to raise a multi-million seed investment round.

Samsung Research America, California
Senior Research Scientist
3/2021 ‒ 4/2023

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.

Samsung Research America, California
Research Scientist Intern
4/2020 ‒ 2/2021

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.

Snap Inc., Los Angeles, California
Research Scientist Intern
7/2019 ‒ 10/2019

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 Research, USA
Remote Collaboration
9/2017 ‒ 12/2019

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

Adobe Research, Seattle, Washington
Research Scientist Intern
7/2018 ‒ 10/2018

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

Adobe Research, San Jose, California
Research Scientist Intern
9/2017 ‒ 12/2017

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, Czechia
Software Engineer
5/2014 ‒ 9/2017

Software and Algorithm Engineer. Developing map-navigation app for smartphones. C++, Java (Android), JavaEE, Objective-C (iOS), C#.

World of Warcraft game server, Prague, Czechia
Software Engineer
2/2013 ‒ 5/2014

Software and Algorithm Engineer. The World of Warcraft game server. Extending game mechanics, scripting artificial intelligence, data-mining. C++, C#.

2013

Education

  • 2018 ‒ 2021
    Doctoral degree study (PhD)

    Computer Graphics,
    FEE, CTU in Prague.

  • 2016 ‒ 2018
    Master degree study (MSc)

    Computer Science,
    FIT, CTU in Prague.

  • 2012 ‒ 2015
    Bachelor degree study (BSc)

    Computer Science,
    FIT, CTU in Prague.

  • 2004 ‒ 2012
    High school

    Mathematics, Physics, and Descriptive Geometry, Gymnasium of Christian Doppler.