I'll be presenting our work at #cvpr2025. We finetune video models to be 3d consistent without any 3d supervision!

Feel free to stop by our poster or reach out to chat:

Sunday, Jun 15, 4-6pm
ExHall D, poster #168
cvpr.thecvf.com/virtual/2025...

i'm mostly not out here just to repost memes, but this is in fact a photograph of me soooo

Here's a recording of my 3DV keynote from a couple weeks ago. If you're already familiar with my research, I recommend skipping to ~22 minutes in where I get to the fun stuff (whether or not 3D has been bitter-lesson'ed by video generation models)

www.youtube.com/watch?v=hFlF...

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!

Introducing 👀Stereo4D👀

A method for mining 4D from internet stereo videos. It enables large-scale, high-quality, dynamic, *metric* 3D reconstructions, with camera poses and long-term 3D motion trajectories.

We used Stereo4D to make a dataset of over 100k real-world 4D scenes.

Check out CAT4D: our new paper that turns (text, sparse images, videos) => (dynamic 3D scenes)!

I can't get over how cool the interactive demo is.

Try it out for yourself on the project page: cat-4d.github.io

We've released our paper "Generating 3D-Consistent Videos from Unposed Internet Photos"! Video models like Luma generate pretty videos, but sometimes struggle with 3D consistency. We can do better by scaling them with 3D-aware objectives. 1/N

page: genechou.com/kfcw