正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Quest's Browser 34.2 was released today with experimental support for unbounded spaces. This allows you to create large scale AR experiences that are no longer limited to the guardian boundary.

@[email protected]

1,386 subscribers

72,691 次观看 • 1 年前 •via X (Twitter)

科学技术教育

Anya Rossi• Live Now

Private livecam show

10 条评论

@cabanier@arvr.social 的头像

@[email protected]1 年前

To enable it, go to chrome://flags, check "WebXR experiments and restart the browser. Then ask for support 'unbounded' when you call requestSession. See

@cabanier@arvr.social 的头像

@[email protected]1 年前

FYI this feature shipped in 36.2 so it should available to everyone. Any WebXR that uses passthrough can now be bigger than the guardian boundary.

@cabanier@arvr.social 的头像

@[email protected]1 年前

36.2 also supports dynamic foveation (previously limited to 3 hardcoded values) and requestViewportScale:

@cabanier@arvr.social 的头像

@[email protected]1 年前

Cc @mrdoob should we make it a default optional parameter in @threejs ?

lorcopola cage 的头像

lorcopola cage1 年前

Had to focus on the XR stuff as Your home looks insanely huge ^^

AndrewTek 🇺🇸 的头像

AndrewTek 🇺🇸1 年前

That was great! The best part was the occlusion by the real-world walls. What setup is needed in ThreeJS/AFrame to support that?

@cabanier@arvr.social 的头像

@[email protected]1 年前

It’s built into three. Just request the feature and depth sensing will be active

Mike Chaves 的头像

Mike Chaves1 年前

LETS GO!

Francois Laberge ✍️ 的头像

Francois Laberge ✍️1 年前

Fuck yeah, awesome!

VanilladadMD 的头像

VanilladadMD1 年前

This is the future

相关视频

#Quest Browser 40.4 was released with support for real time hit testing on Quest 3 and 3s. You no longer have to scan the room if you want to use the #WebXR hit test API since we will measure the room while doing hit testing.

#Quest Browser 40.4 was released with support for real time hit testing on Quest 3 and 3s. You no longer have to scan the room if you want to use the #WebXR hit test API since we will measure the room while doing hit testing.

@[email protected]

19,754 次观看 • 8 个月前

🎇 Your memories are essentially digital. 🕊 Don't let them fly away with you. ✨ We are pleased to reveal Time Guardian, the solution that allows you to transmit your digital legacy.

🎇 Your memories are essentially digital. 🕊 Don't let them fly away with you. ✨ We are pleased to reveal Time Guardian, the solution that allows you to transmit your digital legacy.

Time Guardian

238,319 次观看 • 3 年前

Marker-Anchored AR is here! 🎯 We’re unlocking a new way to experience Augmented Reality—now any image can be a trigger for AR content! From logos and artworks to signs and even natural features, AR activations go far beyond QR codes. The possibilities are endless: 🏛 Museums – Add immersive AR storytelling to exhibits 🛍 Retail – Attach product demos, virtual menus & exclusive content to branded materials 🎪 Events – Connect scavenger hunts & interactive guides to real-world landmarks But there’s more—now AR experiences are no longer tied to a fixed location! Unlike traditional location-anchored AR, Marker-Based AR allows creators to place their experiences anywhere within an OVRLand, without requiring a detailed 3D mapping. And the best part? Every Creator can now build & publish Marker-Based AR experiences easily on the Over App! With the OVER Web Builder, it’s never been simpler—follow the tutorial, create your experience, and publish in just a few steps!👇🏼

Marker-Anchored AR is here! 🎯 We’re unlocking a new way to experience Augmented Reality—now any image can be a trigger for AR content! From logos and artworks to signs and even natural features, AR activations go far beyond QR codes. The possibilities are endless: 🏛 Museums – Add immersive AR storytelling to exhibits 🛍 Retail – Attach product demos, virtual menus & exclusive content to branded materials 🎪 Events – Connect scavenger hunts & interactive guides to real-world landmarks But there’s more—now AR experiences are no longer tied to a fixed location! Unlike traditional location-anchored AR, Marker-Based AR allows creators to place their experiences anywhere within an OVRLand, without requiring a detailed 3D mapping. And the best part? Every Creator can now build & publish Marker-Based AR experiences easily on the Over App! With the OVER Web Builder, it’s never been simpler—follow the tutorial, create your experience, and publish in just a few steps!👇🏼

Over the Reality 🌐

34,974 次观看 • 1 年前

What if you could use #AR and #VR technology on the go – even on the road 🚗? We’re working with BMW Group to create AR and VR experiences for passengers to make the time you spend traveling more productive and fun.

What if you could use #AR and #VR technology on the go – even on the road 🚗? We’re working with BMW Group to create AR and VR experiences for passengers to make the time you spend traveling more productive and fun.

Meta Newsroom

254,797 次观看 • 3 年前

Progressively Optimized Local Radiance Fields for Robust View Synthesis paper page: present an algorithm for reconstructing the radiance field of a large-scale scene from a single casually captured video. The task poses two core challenges. First, most existing radiance field reconstruction approaches rely on accurate pre-estimated camera poses from Structure-from-Motion algorithms, which frequently fail on in-the-wild videos. Second, using a single, global radiance field with finite representational capacity does not scale to longer trajectories in an unbounded scene. For handling unknown poses, we jointly estimate the camera poses with radiance field in a progressive manner. We show that progressive optimization significantly improves the robustness of the reconstruction. For handling large unbounded scenes, we dynamically allocate new local radiance fields trained with frames within a temporal window. This further improves robustness (e.g., performs well even under moderate pose drifts) and allows us to scale to large scenes. Our extensive evaluation on the Tanks and Temples dataset and our collected outdoor dataset, Static Hikes, show that our approach compares favorably with the state-of-the-art.

Progressively Optimized Local Radiance Fields for Robust View Synthesis paper page: present an algorithm for reconstructing the radiance field of a large-scale scene from a single casually captured video. The task poses two core challenges. First, most existing radiance field reconstruction approaches rely on accurate pre-estimated camera poses from Structure-from-Motion algorithms, which frequently fail on in-the-wild videos. Second, using a single, global radiance field with finite representational capacity does not scale to longer trajectories in an unbounded scene. For handling unknown poses, we jointly estimate the camera poses with radiance field in a progressive manner. We show that progressive optimization significantly improves the robustness of the reconstruction. For handling large unbounded scenes, we dynamically allocate new local radiance fields trained with frames within a temporal window. This further improves robustness (e.g., performs well even under moderate pose drifts) and allows us to scale to large scenes. Our extensive evaluation on the Tanks and Temples dataset and our collected outdoor dataset, Static Hikes, show that our approach compares favorably with the state-of-the-art.

AK

140,624 次观看 • 3 年前

Riveter (Riveter) is bringing the power of Perplexity to the scale of the spreadsheet. Their AI agents, custom scrapers, and integrations pack the power of browser use and automation for search, at a cost that allows for scale.

Riveter (Riveter) is bringing the power of Perplexity to the scale of the spreadsheet. Their AI agents, custom scrapers, and integrations pack the power of browser use and automation for search, at a cost that allows for scale.

Y Combinator

19,133 次观看 • 10 个月前

Made two tutorials on City Scale AR for Snap AR explaining how to make these world-scale experiences, one of which uses physics📍 Hoping the knowledge can be useful to someone! Watch them here:

Made two tutorials on City Scale AR for Snap AR explaining how to make these world-scale experiences, one of which uses physics📍 Hoping the knowledge can be useful to someone! Watch them here:

Arthur Bouffard

19,353 次观看 • 2 年前

#Reels are no longer limited to Generation Z. Somebody suggested a vaccine for this disease.

#Reels are no longer limited to Generation Z. Somebody suggested a vaccine for this disease.

ShoneeKapoor

1,992,616 次观看 • 1 年前

🌐 meet ChatHTTP, an experimental browser that let’s you chat with the web built with SwiftUI

🌐 meet ChatHTTP, an experimental browser that let’s you chat with the web built with SwiftUI

Jordan Singer

91,360 次观看 • 3 年前

Introducing Big Terminal Mode with Amp support! Conductor is no longer limited to Claude Code!

Introducing Big Terminal Mode with Amp support! Conductor is no longer limited to Claude Code!

Charlie Holtz

60,842 次观看 • 10 个月前

Today, at Permissionless Wealth (自由财富) III we shared the first glimpse of Readyverse Studios multi world experiences, showcasing WIP gameplay from battle royale OPEN, and player traversal to Promptopia, an experimental AI sandbox in The Readyverse, that allows players to create anything imaginable through simple text prompts. 🎮

Today, at Permissionless Wealth (自由财富) III we shared the first glimpse of Readyverse Studios multi world experiences, showcasing WIP gameplay from battle royale OPEN, and player traversal to Promptopia, an experimental AI sandbox in The Readyverse, that allows players to create anything imaginable through simple text prompts. 🎮

The Readyverse

128,786 次观看 • 1 年前

Today marks 5 years since we released 5, Thank you for being on this unique journey with us. The love ❤️ and support from you all is so special and encourages us to keep pushing through life to create the art With love Sault x

Today marks 5 years since we released 5, Thank you for being on this unique journey with us. The love ❤️ and support from you all is so special and encourages us to keep pushing through life to create the art With love Sault x

SAULT

117,593 次观看 • 2 年前

We are delighted to announce the release today of a new therapy module for Cuespeak, “Scripts”. It allows you to write personalised scripts that turn automatically into exercises to work on saying and writing the text with support. Watch the video! #aphasia #SLPeeps

We are delighted to announce the release today of a new therapy module for Cuespeak, “Scripts”. It allows you to write personalised scripts that turn automatically into exercises to work on saying and writing the text with support. Watch the video! #aphasia #SLPeeps

Cuespeak

13,632 次观看 • 3 年前

RobotArena is live today! Led by @sumo43_, RobotArena is an ELO-based 🤖 Robot-Action Model benchmark that allows you to test models directly in your browser. Check it out here: Special thanks to HIVE Digital Technologies for their compute support!

RobotArena is live today! Led by @sumo43_, RobotArena is an ELO-based 🤖 Robot-Action Model benchmark that allows you to test models directly in your browser. Check it out here: Special thanks to HIVE Digital Technologies for their compute support!

skunkworks

34,295 次观看 • 1 年前

This app released ten years ago allows students to learn chemistry with AR. Released in 2014, Arloon Chemistry is a part of the Arloon series of AR teaching software developed by WANT2B S.L. #gigadgets #augmentedreality #interactive #mixedreality #sciencefun

This app released ten years ago allows students to learn chemistry with AR. Released in 2014, Arloon Chemistry is a part of the Arloon series of AR teaching software developed by WANT2B S.L. #gigadgets #augmentedreality #interactive #mixedreality #sciencefun

GiGadgets

14,151 次观看 • 2 年前

For the AE rig foundation, we used our special limb rig from Crazy Shapes. It allows us to create complex animations that are highly difficult to create with other tools, like this one We can modify the 3D source, for example this way:

For the AE rig foundation, we used our special limb rig from Crazy Shapes. It allows us to create complex animations that are highly difficult to create with other tools, like this one We can modify the 3D source, for example this way:

Denys Bondartsov 🇺🇦

11,135 次观看 • 1 年前

In the future, our experiences won’t be limited by physical spaces. This looks insane 🤯

In the future, our experiences won’t be limited by physical spaces. This looks insane 🤯

Alvaro Cintas

61,212 次观看 • 1 年前

Quest Browser 146.o now ships with experimental support for WebGPU in #WebXR. Turn on "webXR experimental features" in "chrome://flags" and the API will be available. Feedback welcome!

Quest Browser 146.o now ships with experimental support for WebGPU in #WebXR. Turn on "webXR experimental features" in "chrome://flags" and the API will be available. Feedback welcome!

@[email protected]

17,989 次观看 • 2 个月前

Large-scale 3D Scene Generation (all scenes are real-time rendered)!! Physically-grounded generative data without hallucinations is the missing link for robot learning and testing at scale. We introduce a method that directly generates large-scale 3D driving scenes with accurate geometry, allowing for causal view synthesis and generation with object permanence and explicit 3D geometry. This also allows for extreme trajectory extrapolation without failure! We also show that we can build fully data-driven simulators for end-to-end learning with this approach. Project: with the amazing team of Julian Ost, Amogh Joshi , Andrea Ramazzina, Maximilian Bömer, Mario Bijelic.

Large-scale 3D Scene Generation (all scenes are real-time rendered)!! Physically-grounded generative data without hallucinations is the missing link for robot learning and testing at scale. We introduce a method that directly generates large-scale 3D driving scenes with accurate geometry, allowing for causal view synthesis and generation with object permanence and explicit 3D geometry. This also allows for extreme trajectory extrapolation without failure! We also show that we can build fully data-driven simulators for end-to-end learning with this approach. Project: with the amazing team of Julian Ost, Amogh Joshi , Andrea Ramazzina, Maximilian Bömer, Mario Bijelic.

Felix Heide

27,763 次观看 • 10 个月前