@linyijin.bsky.social
jinlinyi.github.io
PhD student at University of Michigan; Student Researcher @Google DeepMind; ex-intern @Adobe
PhD student at University of Michigan; Student Researcher @Google DeepMind; ex-intern @Adobe
We have released the Stereo4D dataset! Explore the real-world dynamic 3D tracks: github.com/Stereo4d/ste...
April 15, 2025 at 7:59 PM
We have released the Stereo4D dataset! Explore the real-world dynamic 3D tracks: github.com/Stereo4d/ste...
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.
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.
December 13, 2024 at 3:13 AM
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.
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.
A fast and accurate method to get camera poses, focal length, and consistent depth map from dynamic casual videos. Checkout this amazing work led by @zhengqili.bsky.social
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!
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!
December 6, 2024 at 6:50 PM
A fast and accurate method to get camera poses, focal length, and consistent depth map from dynamic casual videos. Checkout this amazing work led by @zhengqili.bsky.social