iiinova — where your digital self keeps evolving

Reposted by Julien Gaubil

Antoine Guédon @antoine-guedon.bsky.social · 16/06/2026

What if you could turn any number of photos (3, 8, 15, or even 60) into one clean 3D surface (pts & mesh) with Flow Matching? Check out our new work, Surflo: Consistent 3D Surface Flow Model with Global State. 🧵 1/N 🔗https://anttwo.github.io/surflo/

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Julien Gaubil @jgaubil.bsky.social · 04/11/2025

DUSt3R et al. are impressive, but how do they actually work? We investigate this in our project 𝘜𝘯𝘥𝘦𝘳𝘴𝘵𝘢𝘯𝘥𝘪𝘯𝘨 𝘔𝘶𝘭𝘵𝘪-𝘝𝘪𝘦𝘸 𝘛𝘳𝘢𝘯𝘴𝘧𝘰𝘳𝘮𝘦𝘳𝘴!⁣ We share findings on the iterative nature of reconstruction, the roles of cross and self-attention, and the emergence of correspondences across the network [1/8] ⬇️

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Reposted by Julien Gaubil

Vision and Graphics Trends @si-cv-graphics.bsky.social · 31/10/2025

𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗠𝘂𝗹𝘁𝗶-𝗩𝗶𝗲𝘄 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿𝘀 Michal Stary, Julien Gaubil, Ayush Tewari, Vincent Sitzmann arxiv.org/abs/2510.24907 Trending on www.scholar-inbox.com

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Reposted by Julien Gaubil

Kwang Moo Yi @kmyid.bsky.social · 30/10/2025

Stary and Gaubil et al., "Understanding multi-view transformers" We use Dust3r as a black box. This work looks under the hood at what is going on. The internal representations seem to "iteratively" refine towards the final answer. Quite similar to what goes on in point cloud net

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Reposted by Julien Gaubil

Antoine Guédon @antoine-guedon.bsky.social · 08/09/2025

1/n🚀Gaussians > Differentiable function > Mesh? Check out our new work: MILo: Mesh-In-the-Loop Gaussian Splatting! 🎉Accepted to SIGGRAPH Asia 2025 (TOG) MILo is a novel differentiable framework that extracts meshes directly from Gaussian parameters during training. 🧵👇

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Reposted by Julien Gaubil

Ana Dodik @anadodik.bsky.social · 10/07/2025

🚨🚨 WiGRAPH CONFERENCE COFFEE @ SIGGRAPH '25 🚨🚨 Sign up now to be randomly matched with peers for a SIGGRAPH conference coffee!

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Reposted by Julien Gaubil

Antoine Guédon @antoine-guedon.bsky.social · 03/04/2025

💻We've released the code for our #CVPR2025 paper MAtCha! 🍵MAtCha reconstructs sharp, accurate and scalable meshes of both foreground AND background from just a few unposed images (eg 3 to 10 images)... ...While also working with dense-view datasets (hundreds of images)!

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Julien Gaubil @jgaubil.bsky.social · 25/02/2025

I think there is too much (good) content pouring in the Vision/3D communities daily to read thoroughly while preserving room for creativity. I believe what's important is to know 'what exists', without necessarily knowing all the details, to have an accurate picture of what remains to be done

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Reposted by Julien Gaubil

Dmytro Mishkin @ducha-aiki.bsky.social · 25/02/2025

Sometimes reading Hamming makes me sad, because I recognize myself in this quote.

Question: How much effort should go into library work?

Hamming: It depends upon the field. I will say this about it. There was a fellow at Bell Labs, a very, very, smart guy. He was always in the library; he read everything. If you wanted references, you went to him and he gave you all kinds of references. But in the middle of forming these theories, I formed a proposition: there would be no effect named after him in the long run. He is now retired from Bell Labs and is an Adjunct Professor. He was very valuable; I'm not questioning that. He wrote some very good Physical Review articles; but there's no effect named after him because he read too much. If you read all the time what other people have done you will think the way they thought. If you want to think new thoughts that are different, then do what a lot of creative people do - get the problem reasonably clear and then refuse to look at any answers until you've thought the problem through carefully how you would do it, how you could slightly change the problem to be the correct one. So yes, you need to keep up. You need to keep up more to find out what the problems are than to read to find the solutions. The reading is necessary to know what is going on and what is possible. But reading to get the solutions does not seem to be the way to do great research. So I'll give you two answers. You read; but it is not the amount, it is the way you read that counts.

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