Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

"Fast Foundation Stereo: When Foundation Models Meet Efficient Stereo Matching" TL;DR: distills stereo foundation models into an efficient real-time stereo matching framework, preserving high accuracy while dramatically reducing inference cost.

Almorgand's profile picture

Alexandre Morgand

2,344 subscribers

14,854 görüntüleme • 3 ay önce •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

1 Yorum

Alexandre Morgand profil fotoğrafı
Alexandre Morgand3 ay önce

, Shaurya Dewan, @BirchfieldStan @nvidia Project page: Paper: Source code:

Benzer Videolar

Stereo depth models usually force a tradeoff. 📌 Paper + Code Either strong zero-shot generalization or real-time speed. Fast-FoundationStereo closes that gap. The model accelerates FoundationStereo by more than 10× while keeping comparable depth quality, making real-time stereo matching practical for robotics and XR. On an RTX 3090, it produces dense metric depth maps and 3D point clouds in real time, outperforming existing real-time stereo approaches and even challenging some heavier zero-shot models. The key idea is a divide-and-conquer architecture that removes bottlenecks in common stereo matching components while preserving the strengths of the original teacher model. Training also tackles a major constraint in stereo vision: the lack of ground-truth metric depth data. The team built an automatic data curation pipeline that generates pseudo-labels from internet-scale stereo imagery using the Stereo4D dataset. Result: a real-time stereo foundation model with strong zero-shot performance and practical runtime speed. Code, pretrained weights, and pseudo-labeled stereo data will be released. Thanks for sharing, Bowen Wen! 📍Paper: Code: Project: ——- Weekly robotics and AI insights. Subscribe free:
0:25

Stereo depth models usually force a tradeoff. 📌 Paper + Code Either strong zero-shot generalization or real-time speed. Fast-FoundationStereo closes that gap. The model accelerates FoundationStereo by more than 10× while keeping comparable depth quality, making real-time stereo matching practical for robotics and XR. On an RTX 3090, it produces dense metric depth maps and 3D point clouds in real time, outperforming existing real-time stereo approaches and even challenging some heavier zero-shot models. The key idea is a divide-and-conquer architecture that removes bottlenecks in common stereo matching components while preserving the strengths of the original teacher model. Training also tackles a major constraint in stereo vision: the lack of ground-truth metric depth data. The team built an automatic data curation pipeline that generates pseudo-labels from internet-scale stereo imagery using the Stereo4D dataset. Result: a real-time stereo foundation model with strong zero-shot performance and practical runtime speed. Code, pretrained weights, and pseudo-labeled stereo data will be released. Thanks for sharing, Bowen Wen! 📍Paper: Code: Project: ——- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

11,914 görüntüleme • 2 ay önce

MAC-VO: Metrics-Aware Covariance for Learning-based Stereo Visual Odometry TL;DR: learning-based stereo; learned metrics-aware matching uncertainty for dual purposes: selecting keypoint and weighing the residual in pose graph optimization.
0:35

MAC-VO: Metrics-Aware Covariance for Learning-based Stereo Visual Odometry TL;DR: learning-based stereo; learned metrics-aware matching uncertainty for dual purposes: selecting keypoint and weighing the residual in pose graph optimization.

Alexandre Morgand

17,367 görüntüleme • 1 yıl önce

Fast Foundation Stereo + SAM2 basically = zero shot Foundation Pose😂 No CAD model, no object image, just click the target. Run directly on my 3070 at 13fps, with a 30$ stereo camera (calibrated in 10min) Thanks Bowen Wen for his contribution to the community!
0:40

Fast Foundation Stereo + SAM2 basically = zero shot Foundation Pose😂 No CAD model, no object image, just click the target. Run directly on my 3070 at 13fps, with a 30$ stereo camera (calibrated in 10min) Thanks Bowen Wen for his contribution to the community!

Vector Wang

22,583 görüntüleme • 7 ay önce

Why can't “world models” just be sim? A real-time real2sim demo in the upcoming “ManiDreams” Foundation Stereo + SAM2 + Newton = Generalizable 3D physics prediction in a fast (15FPS) and lightweight (3070) way. No data or object mesh needed
0:21

Why can't “world models” just be sim? A real-time real2sim demo in the upcoming “ManiDreams” Foundation Stereo + SAM2 + Newton = Generalizable 3D physics prediction in a fast (15FPS) and lightweight (3070) way. No data or object mesh needed

Vector Wang

30,474 görüntüleme • 7 ay önce

We're introducing new stereo models for MusicGen. By extending the delay codebook pattern to cover tokens from both left & right channels, these models can generate stereo output with no extra computational cost vs previous models. Try MusicGen on 🤗 ➡️
0:33

We're introducing new stereo models for MusicGen. By extending the delay codebook pattern to cover tokens from both left & right channels, these models can generate stereo output with no extra computational cost vs previous models. Try MusicGen on 🤗 ➡️

AI at Meta

214,959 görüntüleme • 3 yıl önce

60fps depth : ) these are pixels streamed over the air over wifi UDP, using fast foundation stereo i need to get end to end latency down to 20ms. inference is 10 right now. wonder if its possible (it is)
0:29

60fps depth : ) these are pixels streamed over the air over wifi UDP, using fast foundation stereo i need to get end to end latency down to 20ms. inference is 10 right now. wonder if its possible (it is)

kache

23,169 görüntüleme • 2 ay önce

มีเทียบเสียงให้ฟังคับบบ แล้วแต่คนชอบเลย แต่พึ่งเคยใช้โหมดเสียงของ mono เหมือนกัน ชอบเลยอ่ะ รู้สึกมันโอเคกว่า Stereo จริง ๆ 🥹 Stereo & Mono
0:25

มีเทียบเสียงให้ฟังคับบบ แล้วแต่คนชอบเลย แต่พึ่งเคยใช้โหมดเสียงของ mono เหมือนกัน ชอบเลยอ่ะ รู้สึกมันโอเคกว่า Stereo จริง ๆ 🥹 Stereo & Mono

𝗺𝗲𝗶𝗹𝘆 𝗲𝗶𝗲𝗶 🍒

283,231 görüntüleme • 9 gün önce

#willca : better in stereo
0:28

#willca : better in stereo

Juliana

54,628 görüntüleme • 1 yıl önce

Cannelle - Stereo (2026)
2:10

Cannelle - Stereo (2026)

lucía ٠࣪⭑

319,396 görüntüleme • 5 ay önce

Stereo MCs - Connected ‧ 1992
3:38

Stereo MCs - Connected ‧ 1992

70s*80s*90s*00s Throwbacks

471,875 görüntüleme • 2 ay önce

Life in Stereo 🤟
0:30

Life in Stereo 🤟

Missy K London 🔞

42,208 görüntüleme • 3 yıl önce

Soda Stereo “Soda Stereo”, 1984. Aniversario 40 de su lanzamiento en LP y Cassette. #sodastereo #sodastereo40aniversario #cerati #ceratieterno
0:22

Soda Stereo “Soda Stereo”, 1984. Aniversario 40 de su lanzamiento en LP y Cassette. #sodastereo #sodastereo40aniversario #cerati #ceratieterno

Gustavo Cerati

68,549 görüntüleme • 2 yıl önce

#Lukerin : Better in Stereo
0:28

#Lukerin : Better in Stereo

¡ઽα | benophie era 4eva🪁

34,946 görüntüleme • 7 ay önce

"Génesis" Soda Stereo Unplugged.
2:20

"Génesis" Soda Stereo Unplugged.

Cerati & Soda Stereo (Oficial Córdoba)

18,039 görüntüleme • 2 yıl önce

"Crema de Estrellas" Soda Stereo Teatro Gran Rex Buenos Aires Presentación Sueño Stereo #gustavocerati #ceratieterno #sodastereo #sueñostereo #ecos2026
2:20

"Crema de Estrellas" Soda Stereo Teatro Gran Rex Buenos Aires Presentación Sueño Stereo #gustavocerati #ceratieterno #sodastereo #sueñostereo #ecos2026

Cerati & Soda Stereo (Oficial Córdoba)

10,677 görüntüleme • 9 ay önce