Frédéric Fortier-Chouinard

I am a PhD student in Electrical Engineering at Université Laval, where I have the chance to do research under the supervision of Prof. Jean-François Lalonde. I collaborate with Depix Technologies and receive funding from an FRQNT scholarship.

I work on adding physics-based controls to diffusion models, in particular, for the task of relighting. I also worked on virtual object insertion using diffusion models and neural radiance fields.

I obtained my Bachelor's in Computer Engineering at Université Laval. I pursued an exchange semester in 2022 at EPFL, Switzerland. During my undergrad, I completed three internships where I worked on high-performance computing (HPC) software at Calcul Québec, integrated a machine-learning pipeline in the cloud at Dimonoff, and researched GAN-based high-resolution inpainting methods with Prof. Lalonde.

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Research

I'm interested in computer vision, machine learning, graphics, and image generation models.

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ZeroComp: Zero-shot Object Compositing from Image Intrinsics via Diffusion


Zitian Zhang, Frédéric Fortier-Chouinard, Mathieu Garon, Anand Bhattad, Jean-François Lalonde
WACV 2025
arxiv / code / poster / website /

Zero-shot 3D object compositing approach that does not require paired composite-scene images during training and can be easily extended to 2D object compositing and material editing.

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PanDORA: Casual HDR Radiance Acquisition for Indoor Scenes


Mohammad Reza Karimi Dastjerdi, Frédéric Fortier-Chouinard, Yannick Hold-Geoffroy, Marc Hébert, Claude Demers, Nima Kalantari, Jean-François Lalonde
arXiv 2024
arxiv / website /

PanDORA is a system that allows for HDR capture of indoor scenes using a simple capture device, composed of two cameras. The captured frames are fed two a NeRF-based algorithm that reconstructs the scene’s high dynamic range, allowing applications such as virtual object relighting.




Other Projects

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CinematicSpark.com


startup
2025
website /

CinematicSpark is an easy-to-use web application for creating personnalized images of a subject (e.g. a person) using only a handful of low-quality photos as input. It brings cutting-edge techniques in personnalized image generation in the hands of beginner users.

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MC Hub


internship
2020
code /

Open source web application for managing cloud high-performance computing (HPC) clusters that I developed during my internship at Calcul Québec. MC Hub is still maintained and used for training HPC users.


Design and source code from Jon Barron's and Leonid Keselman's websites.