Aleksander Hołyński

@holynski.bsky.social

UC Berkeley + Google DeepMind holynski.org

Introducing MegaSaM! Accurate, fast, & robust structure + camera estimation from casual monocular videos of dynamic scenes! MegaSaM outputs camera parameters and consistent video depth, scaling to long videos with unconstrained camera paths and complex scene dynamics!

I love SfM, but it's way less useful than it should be because of a handful of characteristic failures. @zhengqi_li's new paper basically solves them all: -No parallax? ✅ -No calibration? ✅ -Dynamic scenes? ✅ -Dense geometry? ✅ Best of all, it's super fast.

@zhengqili.bsky.social · 2y ago

Introducing MegaSaM! Accurate, fast, & robust structure + camera estimation from casual monocular videos of dynamic scenes! MegaSaM outputs camera parameters and consistent video depth, scaling to long videos with unconstrained camera paths and complex scene dynamics!

We just dropped CAT4D, text to dynamic 3D models that you can render in real time. Not posting a video because Bluesky is garbage in this respect; go straight to the real time viewer on a desktop browser and look around. The cat kneading dough is my favorite. cat-4d.github.io

CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models

We present CAT4D, a method for creating 4D (dynamic 3D) scenes from monocular video. CAT4D leverages a multi-view video diffusion model trained on a diverse combination of datasets to enable novel vie...

cat-4d.github.io

Our group at Google DeepMind is now accepting intern applications for summer 2025. Attached is the official "call for interns" email; the links and email aliases that got lost in the screenshot are below.

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