David Coeurjolly

A game changer for me ;)

Personally, overpic is my ultimate latex cheat code. I even ended up having a 0px png to get a global coordinate system in the all page… 😈

(+1 for tikz btw)

And it’s opensource!

With a simple CSV—one recipient per line with their details—you can easily create template messages to generate drafts mails to review in Mail.

No webapp, no fancy service. You stay in control.

GitHub - dcoeurjo/MailLoom: MailLoom is a simple macOS app that lets you create personalized email drafts in Mail.app using a CSV file MailLoom is a simple macOS app that lets you create personalized email drafts in Mail.app using a CSV file - dcoeurjo/MailLoom

I was looking for a simple macOS tool to draft personalized Mail.app emails from a CSV file—couldn’t find anything.

So here you have MailLoom: github.com/dcoeurjo/Mai...

This is a fantastic program for people of underrepresented genders in the graphics (and hci/graphics) research space. Please share with your network and gently bully your colleagues and advisees into applying. Deadline March 27, application package is fairly light!

I may have the same setup, except for the iconic 2017 mug ;)

Pretty nice neighborhood ;)

(Bon… un peu bête.. pas moyen de revenir en arrière sans doute)

Fake news! (J’étais déjà en EN). Si tu repasses en FR ça revient ?

I definitely agree. 👏👏 @nholzschuch.bsky.social !

I am very lucky to work with @nbonneel.bsky.social Vincent Nivoliers and @dcoeurjo.bsky.social !

Super happy and honored to share that our paper "BSP-OT: Sparse transport plans between discrete measures in log-linear time" won a *Best paper award* at SIGGRAPH Asia 2025!

If you are here, come see my presentation about this work Wednesday afternoon!

Many thanks to the award committee!

TD;DR: The GRSI encourages authors to share code and data, allowing others to reproduce their published results. Papers that meet the criteria receive a "replicability stamp," as recognition for transparency and reproducibility supported by major publishers, journals, and conferences in the field.

The Graphics Replicability Stamp Initiative (GRSI, www.replicabilitystamp.org), a community-driven initiative to promote replicability in Graphics research, is seeking volunteers.

More details in the 'Volunteering' section of the home page.

Source Code now available for our ACM SIGGRAPH project
C-Tubes: Design and Optimization of Tubular Structures Composed of Developable Strips

Paper and code: go.epfl.ch/c-tubes

Authors: Michele Vidulis *, Klara Mundilova *, Quentin Becker *, Florin Isvoranu, Mark Pauly
*joint first authors

Glad to share with you our last paper to be presented @ SIGGRAPH Asia 2025 !
Kudos @baptiste-genest.bsky.social

GitHub - utk-team/utk: Uni{corn|form} toolkit Uni{corn|form} toolkit . Contribute to utk-team/utk development by creating an account on GitHub.

New in 2.1 (Bastien Doignies, @cnrs.fr, LIRIS):

* 4 new samplers (from siggraph 2020, 2021, 2024 and 2025 papers)
* New metrics (semi-discrete Optimal Transport and Gaussian kernels)
* bugfixes..

Code: github.com/utk-team/utk
Release note: github.com/utk-team/utk...

Glad to share with you the release 2.1 of the UniformToolKit utk-team.github.io/utk/

UTK is a C++ and Python library to generate and analyze sampling patterns for numerical Monte-Carlo integration (eg. for path tracing algorithms).

Timelapse (beginning only)

Axis plotter again... Voxelized Nerfertiti + random block shifts.

More here: perso.liris.cnrs.fr/david.coeurj...
#axisplotter

We have also completely refactored the cmake scripts and the dependencies management: no more GMP, Boost::Integer instead, no more Qt, deps fetched using cmake/CPM...

and a brand new paraview (paraview.org) plugin to use DGtal features in paraview pipelines!

This version also contains many new features (see github.com/DGtal-team/D...). Among them, new corrected normal current differential estimators and volumetric tools (Voronoi maps and distance transformation) in the Shortcuts

Huge improvements on the python binding with many Shortcuts available 🐍(www.dgtal.org/doc/stable/m...)

This new version includes a brand new viewer that is based on polyscope (polyscope.run).

We are happy to announce the major release 2.0 of DGtal (dgtal.org) 🎉. This big update makes the library more modern, in both how it is built and the tools it uses. This release also includes new features in both the C++ library and its python binding. #geometry-processing #c++ #python (1/...)

You can still use tricks. Eg fixing a max number of samples and optimising OT + progressivity for previous points, or use tile-based approaches projet.liris.cnrs.fr/polyhex/), or change the model/ energy (clamping in GBN or progressive Poisson disk), but you won’t get the same quality.

Oh I see… I missed the pointset vs sequence thing.
So yes having BN sequences could be hard depending on your mathematical BN model you consider. Top quality ones (GBN or OT based) rely on a global energy which may by incompatible with progressively generating samples.

www.geometry.caltech.edu/BlueNoise/ , abdallagafar.com/publications... or perso.liris.cnrs.fr/david.coeurj... ?
(more refs available in the related work sections)