Artur Grigorev

📢 New paper CVPR 25!
Can meshes capture fuzzy geometry? Volumetric Surfaces uses adaptive textured shells to model hair, fur without the splatting / volume overhead. It’s fast, looks great, and runs in real time even on budget phones.
🔗 autonomousvision.github.io/volsurfs/
📄 arxiv.org/pdf/2409.02482

05.05.2025 13:00 — 👍 29    🔁 20    💬 1    📌 1

AWESOME course (with videos) 🚨 #MachineLearning for Inverse #Graphics with @vincentsitzmann.bsky.social 💪

Includes a lecture on Gaussian Splatting Course: www.scenerepresentations.org/courses/2023...

19.04.2025 19:09 — 👍 27    🔁 3    💬 0    📌 0

I will be presenting Gaussian Garments next week at #3DV2025

Thursday, March 27, evening poster session, poster #17

Don't miss!

20.03.2025 15:56 — 👍 1    🔁 0    💬 0    📌 0

🌐 Project: eth-ait.github.io/Gaussian-Gar...
📜 Paper: arxiv.org/abs/2409.08189
🧑‍💻 Github: github.com/eth-ait/Gaus...

20.03.2025 15:50 — 👍 0    🔁 0    💬 0    📌 0

Gaussian Garments: Reconstructing Simulation-Ready Clothing with Photo-Realistic Appearance from Multi-View Video Project page for Gaussian Garments

It was an amazing collaboration between @ethzurich.bsky.social and MPI-IS

Thanks to: Boxiang Rong, Wenbo Wang, michael-j-black.bsky.social, Bernhard Thomaszewski, Christina Tsalicoglou, Otmar Hilliges.

20.03.2025 15:50 — 👍 0    🔁 0    💬 1    📌 0

The reconstructed garments can then be combined into complex multi-garment outfits.

🔎 Here we drape five garments on top of each other and simulate them together with ContourCraft, our previous work.

20.03.2025 15:50 — 👍 0    🔁 0    💬 1    📌 0

Then, it optimizes the garment’s appearance. The appearance is represented by an albedo Gaussian texture and an appearance model that predicts lighting effects.

🔎 Note that the shadows and specular effects are predicted by the appearance model and are not baked into the texture.

20.03.2025 15:50 — 👍 0    🔁 0    💬 1    📌 0

First, the Gaussian Garments pipeline reconstructs the geometry of a garment and registers it to multi-view videos.

The registration procedure uses 3D Gaussian splatting and can successfully register highly dynamic sequences.

20.03.2025 15:50 — 👍 0    🔁 0    💬 1    📌 0

🎉🎉🎉 Happy to announce that the code for our paper Gaussian Garments is now public!

Link: github.com/eth-ait/Gaus...

Gaussian Garments uses a combination of 3D meshes and Gaussian splatting to reconstruct photorealistic simulation-ready digital garments from multi-view videos. 🧵

20.03.2025 15:46 — 👍 14    🔁 2    💬 1    📌 1

Graph Transformers (GTs) can handle long-range dependencies and resolve information bottlenecks, but they’re computationally expensive. Our new model, Spexphormer, helps scale them to much larger graphs – check it out at NeurIPS next week, or the preview here!
[1/13]
#NeurIPS2024

05.12.2024 19:58 — 👍 65    🔁 14    💬 1    📌 1

My deep learning course at the University of Geneva is available on-line. 1000+ slides, ~20h of screen-casts. Full of examples in PyTorch.

fleuret.org/dlc/

And my "Little Book of Deep Learning" is available as a phone-formatted pdf (nearing 700k downloads!)

fleuret.org/lbdl/

26.11.2024 06:15 — 👍 1259    🔁 249    💬 46    📌 17

Writing a good scientific paper

For those who missed this post on the-network-that-is-not-to-be-named, I made public my "secrets" for writing a good CVPR paper (or any scientific paper). I've compiled these tips of many years. It's long but hopefully it helps people write better papers. perceiving-systems.blog/en/post/writ...

20.11.2024 10:18 — 👍 262    🔁 64    💬 4    📌 8