# GraphQuon 2024 — ÉTS (Montréal)

> GraphQuon 2024 at ÉTS — Quebec–Ontario pre-SIGGRAPH talks, the conference site we shipped, and hallway chats (including NVIDIA diffusion texture painting).

- HTML page: https://antoineboucher.info/CV/blog/posts/graphquon-2024-ets/
- Language: en
- Translation (fr): https://antoineboucher.info/CV/blog/fr/posts/graphquon-2024-ets/index.md
- Published: 2024-11-09
- Updated: 2026-05-22
- Tags: Conference, GraphQuon, ÉTS, SIGGRAPH, Computer Graphics, NVIDIA
- Author: Antoine Boucher (https://antoineboucher.info/CV/index-en.html)![GraphQuon 2024 auditorium at ÉTS — red carpet, white chairs, projection screen and ÉTS podium](https://antoineboucher.info/CV/blog/posts/graphquon-2024-ets/images/ets-auditorium-stage.png)

**GraphQuon** (formerly MOTOGRAPH) is the annual Quebec–Ontario pre-SIGGRAPH workshop for East-Canadian computer graphics labs. The **2024** edition ran **9–10 November 2024** at **École de technologie supérieure (ÉTS)** in Montréal. I helped **build and host the conference website** at [graphquon.github.io](https://graphquon.github.io/) so schedules, registration, and past editions stayed in one place.

## What GraphQuon is for

From the site’s **About the event** copy: students present prospective SIGGRAPH-bound work to a **friendly, constructively critical** audience and get feedback before the real submission crunch. Faculty groups across Quebec and Ontario rotate hosting; **2024** was ÉTS’s turn.

Questions for organizers: [graphquon@etsmtl.ca](mailto:graphquon@etsmtl.ca).

### Earlier names

| Year | Name | Dates |
|------|------|--------|
| 2018 | MOTOGRAPH | Nov 17–18 |
| 2019 | MOTOGRAPH | Dec 7–8 |
| 2021 | Tomatograph | Dec 3–4 |
| 2022 | FOIEGRAPH | Nov 11–12 |
| 2023 | GRAPHQUON | Dec 2–3 |
| **2024** | **GRAPHQUON** | **Nov 9–10** @ ÉTS |

## 2024 schedule (highlights)

Full timetables live on [graphquon.github.io](https://graphquon.github.io/). A few anchors I remember from the published program:

**Saturday 9 November**

- Morning talks included **Quoc-Minh Ton-That**, **Melissa Katz** (McGill), and **Ivan Puhachov** (UdeM) among the **honourable mentions**.
- Midday ÉTS/Sherbrooke block: **Justin Benoist**, **Arthur Delon**, **Joel Pelletier-Guenette**.
- Afternoon: **Abhishek Madan** (Toronto); **Clara Kim** (Waterloo) won **Best presentation**.

**Sunday 10 November**

- Morning honourable mentions included **Victor Rong**, **Ryusuke Sugimoto**, **Yue Chang**, and **Ege Ciklabakkal**.
- Late afternoon ÉTS/MILA block: **Alex Hoang-Cao**, **Darsh Kaushik**.

The room itself matched the workshop vibe: ÉTS auditorium, red carpet, simple stage, and a lot of white chairs filled between sessions.

![Networking at GraphQuon 2024 — ÉTS hoodie and conference badges, thumbs up between talks](https://antoineboucher.info/CV/blog/posts/graphquon-2024-ets/images/ets-networking-thumbs-up.png)

## Hallway highlight: Masha Shugrina (NVIDIA)

Between sessions I talked with **Masha Shugrina** (NVIDIA Spatial Intelligence Lab / creative AI tools). Two demos stuck with me:

1. **[Diffusion Texture Painting](https://research.nvidia.com/labs/toronto-ai/DiffusionTexturePainting/)** (SIGGRAPH 2024) — painting on UV-mapped meshes with a diffusion brush so strokes stay seamless and you can blend complex reference textures interactively, not just stamp pixels.
2. A **Gaussian-splat** style environment scan — a simple scene you could walk around in, the kind of collider/scan setup that makes spatial content feel immediate without a heavy offline pipeline. (NVIDIA’s newer line of work includes [Gaussian splat painting](https://shumash.com/research) research; the booth conversation was about that direction more than a single paper title.)

It was the useful kind of industry chat: concrete tools you could imagine plugging into a lab pipeline, not a slide deck of buzzwords.

## Audience and vibe

Mostly **graphics + vision grad students and faculty** from Quebec and Ontario — people who understand meshes and shaders but still want a friendly room. Talks skewed research-heavy; questions were about evaluation protocols and whether a method would survive a SIGGRAPH reviewer, not startup pitch decks.

## My role vs 2025

For **2024** I was on the **organizing/web** side (site on GitHub Pages, schedule pages, contact blocks). That meant I learned the boring critical path: bios on time, PDF links that do not 404, and a schedule page that works on mobile in a hallway. In **2025** I presented at the Toronto edition — see **[GraphQuon 2025 — University of Toronto](https://antoineboucher.info/CV/blog/posts/graphquon-2025-university-of-toronto/)** (*Where to Wear?* with Sheldon Andrews). Organizing first made presenting calmer — I already knew where the HDMI adapter lived.

## Tips if you attend next year

- **Bring a question for the presenters** — honourable mentions get sharp feedback when they name what they want (SIGGRAPH track, clarity, eval).
- **Talk in the hall** — half the value is comparing pipelines with other Quebec/Ontario labs.
- **Check the site early** — schedules shift; [graphquon.github.io](https://graphquon.github.io/) is the source of truth.

## Related posts

- [GraphQuon 2025 — University of Toronto](https://antoineboucher.info/CV/blog/posts/graphquon-2025-university-of-toronto/) — presenting *Where to Wear?*
- [Software engineering journey](https://antoineboucher.info/CV/blog/posts/software-engineering-journey/) — ÉTS thread

## Links

- [GraphQuon 2024 — graphquon.github.io](https://graphquon.github.io/)
- [GraphQuon 2025 — Toronto](https://antoineboucher.info/CV/blog/posts/graphquon-2025-university-of-toronto/)
- [Diffusion Texture Painting (NVIDIA Toronto AI Lab)](https://research.nvidia.com/labs/toronto-ai/DiffusionTexturePainting/)
- [Masha Shugrina — research page](https://shumash.com/research)