Peter Wonka

About Peter Wonka

Peter Wonka

Professor, Computer Science

Deep learning Computer Vision computer graphics machine learning remote sensing

Professor Peter Wonka is a computer scientist with a research focus in computer vision, computer graphics, remote sensing, and machine learning.

Articles

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June 2026

KAUST alumna Professor Jing Ren receives the Eurographics Young Researcher Award

2 min read · Tue, Jun 16 2026

Awards News

computer graphics geometry processing

The award highlights contributions spanning geometry processing, digital fabrication and computer vision.

July 2025

Deep learning accelerates research on early pregnancies

1 min read · Mon, Jul 21 2025

News Clip News

deep learning Applied Machine Learning Computer Vision

KAUST researchers have created deepBlastoid, a deep learning tool that surpasses scientists at evaluating laboratory models of the human embryo before pregnancy

September 2024

KAUST Center of Excellence for Generative AI

1 min read · Thu, Sep 12 2024

News Clip News

KAUST has established the Center of Excellence for Generative AI to position Saudi Arabia as a leader in this transformative technology, aligning with Vision 2030's goals for human capital development and economic diversification while focusing on research and applications that span health, sustainability, energy, and future economies, ultimately aiming to cultivate talent and foster innovative solutions tailored to the Kingdom’s needs.

May 2021

Neural Visiolingual Editor

1 min read · Mon, May 31 2021

News

Learning to Edit 3D Structural variations with Language Guidance with Neural Networks Goal: Starting from a blank slate or an initial 3D model loaded from disk, a user can iteratively refine the model by issuing commands in the form of natural language. We consider and exploit synergies between two geometric 3D application domains: furniture and whole-cell modeling Investigator: Mohamed Elhoseiny Peter Wonka Ivan Viola Jesper Tengner

November 2020

Peering under the hood of SARS-CoV-Two

1 min read · Sun, Nov 8 2020

News

visual computing Computer science COVID-19

Microscope and protein data are incorporated into an easy-to-use-and-update tool that can model an organism’s 3D appearance.

May 2020

Modeling in the Time of COVID-19: Statistical and Rule-based Mesoscale Models

1 min read · Wed, May 6 2020

News

visualization computer graphics bioinformatics

We present a new technique for rapid modeling and construction of scientifically accurate mesoscale biological models. Resulting 3D models are based on few 2D microscopy scans and the latest knowledge about the biological entity represented as a set of geometric relationships. Our new technique is based on statistical and rule-based modeling approaches that are rapid to author, fast to construct, and easy to revise. From a few 2D microscopy scans, we learn statistical properties of various structural aspects, such as the outer membrane shape, spatial properties and distribution characteristics

March 2020

KAUST Visual Computing Ph.D. Student wins 2020 Facebook Fellowship Award

3 min read · Wed, Mar 4 2020

News Spotlight

Facebook fellowship award

Anna Fruehstueck, a Ph.D. student in the KAUST Visual Computing Center (VCC) under the supervision of Professor Peter Wonka, recently won a 2020 Facebook Fellowship award and a two-year fellowship from Facebook Research.

July 2019

KAUST Researchers Are the First to Generate Images of Realistic and Highly Detailed Texture Maps of Gigapixel in Size Using Deep Neural Networks

1 min read · Tue, Jul 2 2019

News

Deep learning artificial intelligence machine learning

KAUST researchers Anna Fruehstueck, Dr. Ibraheem Alhashim, and Prof. Peter Wonka have developed a novel technique to generate images of realistic and highly detailed texture maps using deep neural networks. The texture images synthesized by their system TileGAN can be of gigapixel size and are created by seamlessly merging smaller texture blocks into a single large image. The underlying neural networks are trained using high-resolution images such as detailed satellite imagery, maps and famous paintings.

February 2019

Scanning in the Fourth Dimension

1 min read · Sun, Feb 17 2019

News

visualization visual computing

Three-dimensional (3D) computed tomography is a widely used technology that visualizes an object's external and internal structure by assembling a series of two-dimensional images taken sequentially across or around it. However, as anyone who has had a medical magnetic resonance imaging scan will recall, this type of 3D reconstruction requires the subject to be motionless throughout the capture process, which can take minutes. Capturing a 3D structure that changes or deforms over time is much more difficult, and existing approaches often yield reconstructions marred by image artifacts and

October 2017

Streamlining space structures

1 min read · Sun, Oct 22 2017

News

Computer science

A new computational framework marries ideas from computer graphics with civil engineering to reduce times and costs of constructing frame-based structures.

August 2016

September 2014

5 Year Anniversary Showcase

1 min read · Wed, Sep 3 2014

News

There were over 15 faculty members that helped, dedicated there time, and worked together to create an experience that everyone could enjoy. With effort, creativity, passion, collaboration, and dedication these faculty members made this whole event possible!