Jorge Condor

PhD Student

I am a PhD Student on Computer Graphics at IDSIA-USI (Lugano, Switzerland) under the supervision of Piotr Didyk. My research focuses on leveraging inverse graphics to improve applications in vision, real-time rendering and fabrication. During my PhD I had the opportunity to intern at Meta Reality Labs and work alongside the talented Monaco Rendering Team, working on accelerating physically-based volume rendering for photorealistic avatars, under the supervision of Christophe Hery and Adrián Jarabo. I'm also an avid photographer and I love trekking in my spare time.

  • Download my CV here
  • Location: Lugano, Switzerland
  • Email: jorge.condor@usi.ch

Publications

ArXiv24

Don't Splat your Gaussians: Volumetric Ray-Traced Primitives for Modeling and Rendering Scattering and Emissive Media

ArXiv [May'24]

Banking on the popularity of rasterized 3D Gaussian Splatting methods, we formalize the ray-tracing of volumes composed of kernel mixture models (Gaussian or otherwise). Our physically-based, path-traced formulation allows us to render and optimize both scattering and emissive volumes, as well as radiance fields, in an extremely efficient and compact manner. We also introduce the Epanechnikov kernel as an efficient alternative for the Gaussian kernel in radiance field rendering, and showcase the advantages of a ray-traced framework, while maintaining real-time performance.

Jorge Condor, Sébastien Speierer, Lukas Bode, Aljaž Božič, Simon Green, Piotr Didyk, Adrián Jarabo

SIGG23

Gloss-aware Color Correction for 3D Printing

Proceedings of SIGGRAPH [SIGG'23]

We measure, model and correct perceived color shifts in 3D printed objects with different levels of gloss. To formulate the correction we conduct novel perceptual experiments and propose an optimization procedure solved using differentiable rendering.

Jorge Condor, Michal Piovarci, Bernd Bickel, Piotr Didyk

EGSR22

A Learned Radiance-Field Representation for Complex Luminaires

Eurographics Symposium on Rendering [EGSR'22]

An efficient method for rendering complex luminaires using a high quality octree-based representation of the luminaire emission modelled through Neural Radiance Fields, achieving up to x100 speedups over explicit modelling

Jorge Condor, Adrián Jarabo

EG22

A Generative Framework for Image-based Editing of Material Appearance using Perceptual Attributes

Computer Graphics Forum, presented at Eurographics 2022 [CGF'21]

An image-based editing method that allows to modify the material appearance of an object by increasing or decreasing high-level perceptual attributes, using a single image as input.

Johanna Delanoy, Manuel Lagunas, Jorge Condor, Belén Masiá, Diego Gutiérrez

PosterNormals

Normal Map Estimator from Single RGB Images of Objects in the Wild

Jornada Jóvenes Investigadores I3A 2021, Poster Session [JJI-I3A'21]

We apply recent advancements in generative neural networks and an untapped dataset to the problem of volume estimation from a single RGB input and train a model that performs the task efficiently, ready to deploy in other vision and computer graphics pipelines

Jorge Condor, Manuel Lagunas, Johanna Delanoy, Belén Masiá, Diego Gutiérrez

Experience

Professional Experience

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External Research Collaborator @ Meta

Nonstop Consulting, Zurich, Switzerland (Remote)

May 2024 - August 2024
  • Part-time role to continue my work alongside the Monaco rendering team at Meta, working on real-time physically based rendering.
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Research Scientist Intern

Meta Reality Labs, Zurich, Switzerland

Sept 2023 - Jan 2024
  • Worked with the Monaco rendering team on real-time solutions for Physically-based rendering of humans involving hardware-accelerated analytic ray tracing, Gaussian splatting and differentiable rendering, under the supervision of Christophe Hery and Adrián Jarabo
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Research Intern

Graphics and Imaging Lab, Zaragoza, Spain

Feb 2021 - Feb 2022
  • Funded by a competitive scholarship granted by the I3A (Instituto de Investigación en Ingeniería de Aragón) rewarding excellent academic records
  • Developed a volume estimation method from single RGB images based on generative AI
  • Colaborated on a framework for image-based editing of material appearance using perceptual attributes
  • Extended Neural Radiance Field methods to accelerate traditional rendering pipelines in the context of rendering of complex luminaires
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Private Tutor

Zaragoza, Spain (own account)

July 2017 - Sept 2019
  • Mathematics, Physics and Chemistry tutor for baccalaureate (university entry exams' preparation) students

Teaching & Supervision

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Teaching Assistant, Digital Image Processing and Graphics

USI Lugano, Switzerland

Sept 2022 - Ongoing

Development of assignments and exams, grading, onsite teaching of exercise lectures, student tutoring on BSc and MSc courses on digital image and video processing and computer graphics

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Thesis and Research Supervisor

USI Lugano, Switzerland

July 2023 - Ongoing

Research Interns

USI Lugano, Switzerland

  • Xiana Carrera Alonso [July 2023 - Sept 2023]
  • Arnaud Fauconnet [July 2023 - Sept 2023]

Master Thesis

USI Lugano, Switzerland

  • Michele Chersich, Masters in Computer Science [Feb 2023 - September 2024]
  • Reinforcement Learning for Importance Sampling of Neural Radiance Fields

  • Nicolai Hermann, Masters in AI [Feb 2024 - September 2024]
  • Perceptually-Driven Neural Inpainting for Seamless 3D Reconstructions

Lugano

Electronics Maturity Projects for Highschool Students

Liceo Cantonale 2, Lugano, Switzerland

Sept 2022 - Ongoing

Development of an IoT device based on LoRA and ESP32 for plant health monitoring and control with highschool students as part of their Maturity Projects (Lavoro di Maturità or LaM).

Education

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PhD Candidate

IDSIA-USI Lugano, Switzerland

Feb 2022 - Feb 2026 (expected)

PhD Candidate on Computer Graphics under the supervision of Prof. Piotr Didyk. My research focuses on leveraging inverse graphics to improve applications in vision, graphics and fabrication.

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Master in Graphics, Robotics and Computer Vision

Universidad de Zaragoza, Spain

Sept 2020 - Feb 2022

Highly competitive Master with a strong research focus. Took courses on Deep Learning, Computer Graphics, VR, Computer Vision, SLAM and Robotics. Obtained Honors in Modelling and Simulation of Appearance (Computer Graphics course), where I developed a path tracer based on Nori (educational Mitsuba) and implemented many features including a full volumetric path tracer for both homogeneous and heterogeneous media and fur rendering. Got Honorable Mention (second prize) in the Rendering Contest judged by Marcos Fajardo, Matt Chiang, and Wojciech Jarosz (check my submission here )

University is Ranked #1 in Spain in Computer Graphics, Robotics and Computer Vision (edurank)

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BSc, MSc Courses on Electrical Engineering (Erasmus)

Aalto University, Helsinki, Finland

Sept 2019 - June 2020

Took Master-level courses in the fields of AI, electronics design and robotics, working in a highly cooperative and diverse environment

universidad-de-zaragoza

Bachelor in Electronics and Control Engineering

Universidad de Zaragoza, Spain

Sept 2016 - July 2020

Top 7% of my promotion. Special interest in digital and analog electronics, robotics and machine learning. Class delegate for several years. Obtained Honors in Digital Electronics, Thermodynamics, Chemistry and Fundamentals of Electronics

Photography

I'm an avid photographer in my spare time! I mainly enjoy taking travel pictures and wildlife. Check my instagram for wildlife pics :)

  • All
  • Street
  • Landscape

Contact

For any research or photography-related enquiries, please do not hesitate to contact me!

Location:

Via la Santa 1, Viganello

Call:

+41 07822470977