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Our product team walks through the full journey: Capture → Reconstruct → Localize Scaniverse creates high-fidelity 3D inputs from the real world—built for reconstruction, localization, and semantic understanding. Watch the full YouTube playlist: #NianticSpatial #Scaniverse #Reconstruction #VPS #GeospatialAI #AI #PhysicalAI

Niantic Spatial 🌎

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10,949 views • 2 months ago •via X (Twitter)

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How do you go from scanning a real-world space → using it in an app, workflow, or environment? Our product team walks through Scaniverse step-by-step, from capturing spaces to generating production-ready 3D assets and enabling precise, real-world positioning. In the first video, Senior Product Manager, Bec Maxworth, walks through your entry point into Scaniverse from signing up to getting started so you can start building high-fidelity 3D models in minutes. Dive into the full walkthrough here: #NianticSpatial #Scaniverse #Reconstruction #VPS #GeospatialAI #AI #PhysicalAI

How do you go from scanning a real-world space → using it in an app, workflow, or environment? Our product team walks through Scaniverse step-by-step, from capturing spaces to generating production-ready 3D assets and enabling precise, real-world positioning. In the first video, Senior Product Manager, Bec Maxworth, walks through your entry point into Scaniverse from signing up to getting started so you can start building high-fidelity 3D models in minutes. Dive into the full walkthrough here: #NianticSpatial #Scaniverse #Reconstruction #VPS #GeospatialAI #AI #PhysicalAI

Niantic Spatial 🌎

10,739 views • 2 months ago

Construction sites change fast. Constant site revisits are expensive and time-consuming. With Scaniverse, teams can capture and operationalize real-world environments with precision at scale using high-fidelity textured meshes and Gaussian splats. Monitor progress remotely, improve collaboration, document site conditions, and reduce unnecessary visits — all from a phone or 360° camera. Sign up for Scaniverse today and begin to #SplatYourWorld. #NianticSpatial #Scaniverse #VPS #GeospatialAI #AI #GaussianSplat #Reconstruction #PhysicalAI

Construction sites change fast. Constant site revisits are expensive and time-consuming. With Scaniverse, teams can capture and operationalize real-world environments with precision at scale using high-fidelity textured meshes and Gaussian splats. Monitor progress remotely, improve collaboration, document site conditions, and reduce unnecessary visits — all from a phone or 360° camera. Sign up for Scaniverse today and begin to #SplatYourWorld. #NianticSpatial #Scaniverse #VPS #GeospatialAI #AI #GaussianSplat #Reconstruction #PhysicalAI

Niantic Spatial 🌎

16,573 views • 1 month ago

🌎 The world in your pocket, now in 3D. For a limited time, upgrade to a Scaniverse Annual Plan by June 30 and get: ✅12 months for the price of 10 + up to 105,000 bonus cloud processing credits. ⏰Upgrade today! #NianticSpatial #Scaniverse #Reconstruction #3DScanning #GaussianSplat #360Capture #DigitalTwin #AI #GeospatialAI #PhysicalAI #VPS

🌎 The world in your pocket, now in 3D. For a limited time, upgrade to a Scaniverse Annual Plan by June 30 and get: ✅12 months for the price of 10 + up to 105,000 bonus cloud processing credits. ⏰Upgrade today! #NianticSpatial #Scaniverse #Reconstruction #3DScanning #GaussianSplat #360Capture #DigitalTwin #AI #GeospatialAI #PhysicalAI #VPS

Niantic Spatial 🌎

11,326 views • 19 days ago

📲💻Capture and scan with Scaniverse, then bring your sites directly into NSDK 4.0. A unified spatial data pipeline connects capture → reconstruction → localization → runtime—so your scans are immediately usable in your XR projects. Build with Unity, Swift, Kotlin, and early ROS2 support, and deploy high-performance experiences across mobile and robotic systems within your existing workflows. 🔗Get started today: #NianticSpatial #Scaniverse #NDSK #GeospatialAI #PhysicalAI #AI #XR #VR #Robotics #Unity #Kotlin #Swift

📲💻Capture and scan with Scaniverse, then bring your sites directly into NSDK 4.0. A unified spatial data pipeline connects capture → reconstruction → localization → runtime—so your scans are immediately usable in your XR projects. Build with Unity, Swift, Kotlin, and early ROS2 support, and deploy high-performance experiences across mobile and robotic systems within your existing workflows. 🔗Get started today: #NianticSpatial #Scaniverse #NDSK #GeospatialAI #PhysicalAI #AI #XR #VR #Robotics #Unity #Kotlin #Swift

Niantic Spatial 🌎

10,781 views • 2 months ago

SPZ 4 is here. 🚀 3–5x faster encoding. 2x faster loading. 20x faster in the browser. Tens of millions of points, no sweat. The "JPG for 3D Gaussian splats" just leveled up. Big thanks to everyone who made this release happen, especially the team at Adobe. Read more: #NianticSpatial #Scaniverse #SPZ #GaussianSplat #Reconstruction #PhysicalAI #GeospatialAI #AI #Adobe

SPZ 4 is here. 🚀 3–5x faster encoding. 2x faster loading. 20x faster in the browser. Tens of millions of points, no sweat. The "JPG for 3D Gaussian splats" just leveled up. Big thanks to everyone who made this release happen, especially the team at Adobe. Read more: #NianticSpatial #Scaniverse #SPZ #GaussianSplat #Reconstruction #PhysicalAI #GeospatialAI #AI #Adobe

Niantic Spatial 🌎

63,087 views • 2 months ago

Today, Niantic Spatial introduces Scaniverse — our flagship product and the gateway to our spatial intelligence platform and Large Geospatial Model. Here’s what’s new: 🔹Scaniverse (iOS mobile + web): Capture once, generate multiple outputs—VPS maps, meshes, and Gaussian splats (Android coming soon) 🔹Collaborative mapping: Multi-user scans fused into a single, continuously improving model 🔹 On-device validation: Preview VPS coverage and test localization in real time 🔹VPS 2.0: Global-scale positioning—centimeter-accurate where mapped, reliable everywhere else (even where GPS fails) 🔹NSDK 4.0 (coming soon): A unified SDK across Unity, Swift, Android, and ROS 2 Read more: #NianticSpatial #Scaniverse #VPS #GeospatialAI #AI

Today, Niantic Spatial introduces Scaniverse — our flagship product and the gateway to our spatial intelligence platform and Large Geospatial Model. Here’s what’s new: 🔹Scaniverse (iOS mobile + web): Capture once, generate multiple outputs—VPS maps, meshes, and Gaussian splats (Android coming soon) 🔹Collaborative mapping: Multi-user scans fused into a single, continuously improving model 🔹 On-device validation: Preview VPS coverage and test localization in real time 🔹VPS 2.0: Global-scale positioning—centimeter-accurate where mapped, reliable everywhere else (even where GPS fails) 🔹NSDK 4.0 (coming soon): A unified SDK across Unity, Swift, Android, and ROS 2 Read more: #NianticSpatial #Scaniverse #VPS #GeospatialAI #AI

Niantic Spatial 🌎

112,798 views • 3 months ago

Physical AI needs more than maps, GPS, or pixels alone. It needs a living, geometrically accurate understanding of the real world. Niantic Spatial and Spexi are partnering to transform drone imagery into large-scale 3D intelligence for physical AI. 🔗Learn more: #NianticSpatial #Spexi #PhysicalAI #Reconstruction #GaussianSplat #DigitalTwins #Robotics #GeospatialAI #AI #GeospatialIntelligence #GEOINT #SpatialIntelligence

Physical AI needs more than maps, GPS, or pixels alone. It needs a living, geometrically accurate understanding of the real world. Niantic Spatial and Spexi are partnering to transform drone imagery into large-scale 3D intelligence for physical AI. 🔗Learn more: #NianticSpatial #Spexi #PhysicalAI #Reconstruction #GaussianSplat #DigitalTwins #Robotics #GeospatialAI #AI #GeospatialIntelligence #GEOINT #SpatialIntelligence

Niantic Spatial 🌎

27,315 views • 1 month ago

VPS 2.0 Outperforms GPS Alone. Niantic Spatial’s Visual Positioning System (VPS) matches live camera data to a spatial model for precise 6DoF localization—indoors, outdoors, and in complex environments where GPS fails. 🔹 ~10-15cm accuracy in mapped areas 🔹 Works in GPS-denied environments 🔹 Persistent spatial anchors Explore this deep dive to learn how VPS works: #NianticSpatial #Scaniverse #VPS #GIS #GeospatialAI #GEOINT #PhysicalAI #AI #Robotics

VPS 2.0 Outperforms GPS Alone. Niantic Spatial’s Visual Positioning System (VPS) matches live camera data to a spatial model for precise 6DoF localization—indoors, outdoors, and in complex environments where GPS fails. 🔹 ~10-15cm accuracy in mapped areas 🔹 Works in GPS-denied environments 🔹 Persistent spatial anchors Explore this deep dive to learn how VPS works: #NianticSpatial #Scaniverse #VPS #GIS #GeospatialAI #GEOINT #PhysicalAI #AI #Robotics

Niantic Spatial 🌎

19,782 views • 2 months ago

🚀 Niantic Spatial and Snap Inc. Inc. are pushing the limits of AI and spatial computing with Project Jade, an innovative demo debuted at AWE 2025. 🐈 Spatially-intelligent AI companion 👓 Built for AR glasses 📍 Anchored with precise VPS localization 🧠 Informed by real-world context 🤖 Designed for everyday interaction 👉 Read the full story behind Project Jade — from design and testing to real-world deployment. 🔗 #NianticSpatial, #GeospatialAI, #SpatialComputing, #VPS, #AI, #Peridot

🚀 Niantic Spatial and Snap Inc. Inc. are pushing the limits of AI and spatial computing with Project Jade, an innovative demo debuted at AWE 2025. 🐈 Spatially-intelligent AI companion 👓 Built for AR glasses 📍 Anchored with precise VPS localization 🧠 Informed by real-world context 🤖 Designed for everyday interaction 👉 Read the full story behind Project Jade — from design and testing to real-world deployment. 🔗 #NianticSpatial, #GeospatialAI, #SpatialComputing, #VPS, #AI, #Peridot

Niantic Spatial 🌎

40,884 views • 11 months ago

With Scaniverse, every space can be captured, digitized, and transformed into a living, machine-readable twin. At Super Bowl LX Innovation Summit, we turned the venue into a live digital twin in minutes. Powered by Visual Positioning System, robots and phones shared the same spatial understanding — unlocking a true shared reality. Read more: #NianticSpatial #SuperBowl #Scaniverse #DigitalTwin #GaussianSplat #VPS #AI

With Scaniverse, every space can be captured, digitized, and transformed into a living, machine-readable twin. At Super Bowl LX Innovation Summit, we turned the venue into a live digital twin in minutes. Powered by Visual Positioning System, robots and phones shared the same spatial understanding — unlocking a true shared reality. Read more: #NianticSpatial #SuperBowl #Scaniverse #DigitalTwin #GaussianSplat #VPS #AI

Niantic Spatial 🌎

11,546 views • 4 months ago

GPS told you that you're 3 metres away. But which direction? For blind and low vision people, that gap is the difference between arriving and not arriving. We built NaviNote to close it. 🏆 CHI 2026 Honourable Mention - top 5% of thousands of submissions. Read blog: #NianticSpatial #GeospatialAI #AI #PhysicalAI #VPS Thread 👇(1/5)

GPS told you that you're 3 metres away. But which direction? For blind and low vision people, that gap is the difference between arriving and not arriving. We built NaviNote to close it. 🏆 CHI 2026 Honourable Mention - top 5% of thousands of submissions. Read blog: #NianticSpatial #GeospatialAI #AI #PhysicalAI #VPS Thread 👇(1/5)

Niantic Spatial 🌎

11,756 views • 1 month ago

🌴Today at #AWE2025, our CTO Brian McClendon shared how Niantic Spatial is building the future of geospatial intelligence. We’re combining object-level, street-scale, and aerial data to build highly precise 3D models—enabling centimeter-level localization and scaling spatial intelligence at a city-scale and beyond. 🚀 #NianticSpatial #GeospatialIntelligence #SpatialComputing #AR #RealWorldAI #LLMtoLGM #GeospatialAI #AugmentedReality #VPS #AI

🌴Today at #AWE2025, our CTO Brian McClendon shared how Niantic Spatial is building the future of geospatial intelligence. We’re combining object-level, street-scale, and aerial data to build highly precise 3D models—enabling centimeter-level localization and scaling spatial intelligence at a city-scale and beyond. 🚀 #NianticSpatial #GeospatialIntelligence #SpatialComputing #AR #RealWorldAI #LLMtoLGM #GeospatialAI #AugmentedReality #VPS #AI

Niantic Spatial 🌎

14,655 views • 1 year ago

Niantic Scaniverse 4 brings splatting into the real world. What’s a splat? 🗺️The future of 3D photography 🌐The next step in spatial computing 🌎The key to build the world’s next great map together 🚀The background for your next Niantic Studio creation Read on:

Niantic Scaniverse 4 brings splatting into the real world. What’s a splat? 🗺️The future of 3D photography 🌐The next step in spatial computing 🌎The key to build the world’s next great map together 🚀The background for your next Niantic Studio creation Read on:

Niantic Spatial 🌎

91,332 views • 1 year ago

📢ProcGen3D: Learning Neural Procedural Graphs for Image-to-3D Reconstruction Xinyi Zhang learns neural procedural graphs to generate high-fidelity 3D - MCTS-guided sampling maintains consistency with the input image, even from real images! Check it out:

📢ProcGen3D: Learning Neural Procedural Graphs for Image-to-3D Reconstruction Xinyi Zhang learns neural procedural graphs to generate high-fidelity 3D - MCTS-guided sampling maintains consistency with the input image, even from real images! Check it out:

Angela Dai

14,590 views • 7 months ago

More and more users are turning their 360 footage into fully explorable 3D Gaussian Splats with View it here: This reconstruction started from a simple capture and is now a fully explorable 3D Gaussian Splat rendered in the FreeGaussian viewer, complete with point cloud reconstruction and high-fidelity spatial detail. More and more creators are discovering that their existing footage can become immersive 3D scenes. And they’re doing it for free with FreeGaussian

More and more users are turning their 360 footage into fully explorable 3D Gaussian Splats with View it here: This reconstruction started from a simple capture and is now a fully explorable 3D Gaussian Splat rendered in the FreeGaussian viewer, complete with point cloud reconstruction and high-fidelity spatial detail. More and more creators are discovering that their existing footage can become immersive 3D scenes. And they’re doing it for free with FreeGaussian

Over the Reality 🌐

14,682 views • 1 month ago

📢 Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation Got only one or a few images and wondering if recovering the 3D environment is a reconstruction or generation problem? Why not do it with a generative reconstruction model! We show that a camera-conditioned video diffusion model can be transformed into a generative reconstruction model that directly outputs a high-quality 3D Gaussian Splatting representation through self-distillation, without requiring real-world training data. Check out our results in the video (wait for dynamic scenes in the second half!) : Project Page: Code and Models: Paper:

📢 Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation Got only one or a few images and wondering if recovering the 3D environment is a reconstruction or generation problem? Why not do it with a generative reconstruction model! We show that a camera-conditioned video diffusion model can be transformed into a generative reconstruction model that directly outputs a high-quality 3D Gaussian Splatting representation through self-distillation, without requiring real-world training data. Check out our results in the video (wait for dynamic scenes in the second half!) : Project Page: Code and Models: Paper:

Sherwin Bahmani

66,523 views • 9 months ago

📢📢GenRecon: Bridging Generative Priors for Multi-View 3D Scene Reconstruction📢📢 Reconstructing high-fidelity 3D scenes from sparse RGB input is hard. It needs a strong 3D prior! We reformulate multi-view scene reconstruction as conditional 3D generation over overlapping spatial chunks, lifting posed image features into a generative shape prior via 3D conditioning. As an example prior, we build on Trellis2, and train it such that its reconstruction is pixel aligned and matches from all views. GenRecon achieves unprecedented reconstruction quality from any sparse RGB input sequence, even from a phone capture. The reconstruction also includes PBR materials which facilitates relighting and virtual object insertion. Amazing work by Katharina Schmid, Nicolas von Lützow, Jozef, Angela Dai

📢📢GenRecon: Bridging Generative Priors for Multi-View 3D Scene Reconstruction📢📢 Reconstructing high-fidelity 3D scenes from sparse RGB input is hard. It needs a strong 3D prior! We reformulate multi-view scene reconstruction as conditional 3D generation over overlapping spatial chunks, lifting posed image features into a generative shape prior via 3D conditioning. As an example prior, we build on Trellis2, and train it such that its reconstruction is pixel aligned and matches from all views. GenRecon achieves unprecedented reconstruction quality from any sparse RGB input sequence, even from a phone capture. The reconstruction also includes PBR materials which facilitates relighting and virtual object insertion. Amazing work by Katharina Schmid, Nicolas von Lützow, Jozef, Angela Dai

Matthias Niessner

17,935 views • 1 month ago

Physical AI for defense and intelligence starts with an accurate model of the world – high-fidelity, geometrically grounded, built for the environments where it actually matters. Today, Niantic Spatial 🌎 is awardable on the Department of War 🇺🇸’s Tradewinds Solutions Marketplace for 3D Reconstruction, our second capability to clear that bar after Visual Positioning, announced earlier this month. Together they deliver two critical layers of the spatial stack: high-fidelity 3D models of contested environments, and precise location within them; a foundation for mission-critical operations that need to visualize and navigate the physical world. The capability is ready. The procurement path is open.

Physical AI for defense and intelligence starts with an accurate model of the world – high-fidelity, geometrically grounded, built for the environments where it actually matters. Today, Niantic Spatial 🌎 is awardable on the Department of War 🇺🇸’s Tradewinds Solutions Marketplace for 3D Reconstruction, our second capability to clear that bar after Visual Positioning, announced earlier this month. Together they deliver two critical layers of the spatial stack: high-fidelity 3D models of contested environments, and precise location within them; a foundation for mission-critical operations that need to visualize and navigate the physical world. The capability is ready. The procurement path is open.

asim ᯅ

14,166 views • 1 month ago

another high-fidelity gaussian splat i took recently. 2 mins scan with 360° camera. in the splat we simulate how VPS localizes robots to the real world, mirroring the 360° video of the robot navigating in the physical location. powered by @nianticspatial.

another high-fidelity gaussian splat i took recently. 2 mins scan with 360° camera. in the splat we simulate how VPS localizes robots to the real world, mirroring the 360° video of the robot navigating in the physical location. powered by @nianticspatial.

asim ᯅ

41,098 views • 2 months ago