World model @Tesla_AI

Joined July 2021
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Excited to introduce ๐——๐—ฆ๐—œ๐—ก๐—˜! (#CVPR2024) baegwangbin.github.io/DSINE/ We push the limits of single-image surface normal estimation by rethinking the inductive biases needed for the task. See you in Seattle!
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Cybercab driving itself out of the GigaTexas factory
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Try Tesla Robotaxi in Dallas & Houston!
Robotaxi now rolling out in Dallas & Houston ๐Ÿค 
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Excited to introduce RoEL, accepted to T-RO! โ“ What 3D representation to use for event-based reconstruction? ๐Ÿ’ก Event cameras capture edges; we reconstruct them as ๐Ÿ‘๐ƒ ๐ฅ๐ข๐ง๐ž๐ฌ. We present a robust pipeline: from reliable correspondence search to Grassmannian optimization.
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Just started Tesla Robotaxi drives in Austin with no safety monitor in the car. Congrats to the @Tesla_AI team! If youโ€™re interested in solving real-world AI, which is likely to lead to AGI imo, join Tesla AI. Solving real-world AI for Optimus will be 100X harder than cars.
Jan 22
I am in a robotaxi without safety monitor
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21 Dec 2025
Along for the ride in unsupervised FSD testing
14 Dec 2025
Replying to @cb_doge
Testing is underway with no occupants in the car
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22 Jun 2025
Tesla AI teams
22 Jun 2025
Hi there!
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22 Jun 2025
Super congratulations to the @Tesla_AI software & chip design teams on a successful @Robotaxi launch!! Culmination of a decade of hard work. Both the AI chip and software teams were built from scratch within Tesla.
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28 May 2025
Visual SLAM has made major success in static scenes โ€” now letโ€™s explore the dynamic world we live in! At #CVPR2025, we introduce 4DTAM, 4D Tracking & Mapping using dynamic surface Gaussians optimized through diff. rendering. muskie82.github.io/4dtam/ w/ @BaeGwangbin @AjdDavison
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16 Dec 2024
Introducing MASt3R-SLAM, the first real-time monocular dense SLAM with MASt3R as a foundation. Easy to use like DUSt3R/MASt3R, from an uncalibrated RGB video it recovers accurate, globally consistent poses & a dense map. With @eric_dexheimer*, @AjdDavison (*Equal Contribution)
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COMO will be presented as an ๐จ๐ซ๐š๐ฅ at #ECCV2024! Also come see the ๐ฅ๐ข๐ฏ๐ž ๐๐ž๐ฆ๐จ of our compact 3D representation for real-time monocular SLAM Oral: Session 2C at 1:40 PM on Tue 1 Oct Poster: #181 at 4:30-6:30 PM on Tue 1 Oct Demo: Thurs 3 Oct AM edexheim.github.io/como/
How can we infer 3D-consistent poses and dense geometry in real-time given only RGB images? ๐—–๐—ข๐— ๐—ข decodes dense geometry from a compact and optimizable set of 3D anchor points to enforce 3D consistency. Project page: edexheim.github.io/como/ Work with @AjdDavison 1/n
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First time giving a talk at BMVA Computer Vision Summer School. It was great meeting students and exchanging ideas!
Dr Gwangbin Bae @BaeGwangbin delivered on a talk on "Always-on Perception for 3D Computer Vision" in the 27th BMVA Computer Vision Summer School in Durham University.
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Our lab's #SpatialAI demo guidelines: 1. Build demos (real-time good visualisations) *while* doing the actual research. 2. You learn more from 3 minutes with a live demo than any dataset results. 3. Show your demo to as many people as possible. Don't worry if it's not perfect.
We won Best Demo at #CVPR2024 for Gaussian Splatting SLAM (@HideMatsu82 @rmurai0610). Also: Best Demo Honourable Mention for SuperPrimitives (@makezur @BaeGwangbin)! Proud of our whole group at @ICComputing. Demos make big impact, and are also fun! cvpr.thecvf.com/Conferences/โ€ฆ
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On my way to London after an unforgettable week at #CVPR2024. It was my first in-person CVPR and I loved every moment of it. A big thank you to everyone who came to my talk/poster!
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Reminder of the live demos of DSINE (real-time high quality normals) and SuperPrimitives (normals integrated into real-time monocular dense SLAM) in the demo session all day today at #CVPR2024.
14 Jun 2024
SuperPrimitives will be presented at #CVPR next week (Wednesday), along with a ๐—ฟ๐—ฒ๐—ฎ๐—น-๐˜๐—ถ๐—บ๐—ฒ ๐—ฑ๐—ฒ๐—บ๐—ผ on Friday! Our new representation enables dense monocular 3D reconstruction in real-time. No poses required! Project page: makezur.github.io/SuperPrimiโ€ฆ
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Here is the presentation schedule for ๐——๐—ฆ๐—œ๐—ก๐—˜ (#CVPR2024) See you tomorrow!
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๐——๐—ฆ๐—œ๐—ก๐—˜ will be presented as an Oral at #CVPR2024! Come to our talk - ๐—ข๐—ฟ๐—ฎ๐—น๐˜€ ๐Ÿฏ๐—”, ๐Ÿต๐—”๐—  ๐—ผ๐—ป ๐—ง๐—ต๐˜‚๐—ฟ๐˜€๐—ฑ๐—ฎ๐˜† - to hear about the motivation/insights behind this project and how surface normal cues can be incorporated in your research.
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14 Jun 2024
SuperPrimitives will be presented at #CVPR next week (Wednesday), along with a ๐—ฟ๐—ฒ๐—ฎ๐—น-๐˜๐—ถ๐—บ๐—ฒ ๐—ฑ๐—ฒ๐—บ๐—ผ on Friday! Our new representation enables dense monocular 3D reconstruction in real-time. No poses required! Project page: makezur.github.io/SuperPrimiโ€ฆ
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๐Ÿ“ข Code release for ๐——๐—ฆ๐—œ๐—ก๐—˜ (#CVPR2024 - Oral) DSINE gives you surface normal prediction ( uncertainty) in real-time. We have released the code for training, testing, and running real-time demos. Try it yourself! github.com/baegwangbin/DSINE
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How can we infer 3D-consistent poses and dense geometry in real-time given only RGB images? ๐—–๐—ข๐— ๐—ข decodes dense geometry from a compact and optimizable set of 3D anchor points to enforce 3D consistency. Project page: edexheim.github.io/como/ Work with @AjdDavison 1/n
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Finally released the code for ๐—จ-๐—”๐—ฅ๐—˜-๐— ๐—˜! ๐—จ-๐—”๐—ฅ๐—˜-๐— ๐—˜ estimates camera rotation in real-time by aligning the predicted surface normals to global principal directions. Try our real-time demo with a webcam, or simply provide a link to a YouTube video.
๐—–๐—ผ๐—ฑ๐—ฒ ๐—ฟ๐—ฒ๐—น๐—ฒ๐—ฎ๐˜€๐—ฒ for U-ARE-ME ! Try it out yourself on any video: github.com/callum-rhodes/U-Aโ€ฆ ๐™Ž๐™š๐™š ๐™ž๐™ฉ ๐™ก๐™ž๐™ซ๐™š ๐™ž๐™ฃ ๐™–๐™˜๐™ฉ๐™ž๐™ค๐™ฃ! @DoC_Rhodes_ @BaeGwangbin @AjdDavison
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