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Sparse captures in, complete worlds out. Echo reconstructs scenes from a small set of views, using world modeling priors to fill what sparse 3DGS leaves behind. Coming soon to the SpAItial API.

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SpAItial AI

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28,919 görüntüleme • 2 ay önce •via X (Twitter)

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Our SOTA world model, Echo, reconstructs high-quality scenes from sparse inputs and fills missing areas using its world knowledge. That means far less capture, data, and prep to produce geometrically consistent, multi-room reconstructions. We can’t wait to share it. Public release coming soon
0:48

Our SOTA world model, Echo, reconstructs high-quality scenes from sparse inputs and fills missing areas using its world knowledge. That means far less capture, data, and prep to produce geometrically consistent, multi-room reconstructions. We can’t wait to share it. Public release coming soon

SpAItial AI

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Large, consistent, and high-quality 3D worlds from simple iPhone recordings. Works for multi-room scenes, fills missing gaps consistently while maintaining high quality, and it’s super easy to use. Now in beta with partners and coming soon to the SpAItial API. Link to the scenes in the comments so you can navigate this world yourself 👇🏽
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Large, consistent, and high-quality 3D worlds from simple iPhone recordings. Works for multi-room scenes, fills missing gaps consistently while maintaining high quality, and it’s super easy to use. Now in beta with partners and coming soon to the SpAItial API. Link to the scenes in the comments so you can navigate this world yourself 👇🏽

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🇫🇷 From a cultural bastion to complete mayhem — what happened to Paris? Video captures chaotic scenes in the streets of Europe’s most visited capital
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🇫🇷 From a cultural bastion to complete mayhem — what happened to Paris? Video captures chaotic scenes in the streets of Europe’s most visited capital

Lord Bebo

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.Strand AI builds foundation models to fill in missing patient data. They predict unmeasured biological modalities from existing ones, turning sparse clinical trial datasets into complete multimodal profiles. Congrats on the launch, עודד | oded and Yue!
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.Strand AI builds foundation models to fill in missing patient data. They predict unmeasured biological modalities from existing ones, turning sparse clinical trial datasets into complete multimodal profiles. Congrats on the launch, עודד | oded and Yue!

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Painting with 3D Gaussian Splat Brushes Contributions: • Designing a set of interactive tools and brush parameters for artistic brush creation and control using 3DGS content. • Computing oriented 3D Gaussian splat brushes for stamp-based painting on 3D surfaces represented as meshes or 3DGS scenes. • Deforming the splats in a brush stamp to ensure a smooth appearance of the painted 3D stroke. • Producing seamless brush strokes despite overlapping brush stamps, using diffusion inpainting. • Efficient modeling and rendering of brush strokes to facilitate 3DGS painting in real time.
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Painting with 3D Gaussian Splat Brushes Contributions: • Designing a set of interactive tools and brush parameters for artistic brush creation and control using 3DGS content. • Computing oriented 3D Gaussian splat brushes for stamp-based painting on 3D surfaces represented as meshes or 3DGS scenes. • Deforming the splats in a brush stamp to ensure a smooth appearance of the painted 3D stroke. • Producing seamless brush strokes despite overlapping brush stamps, using diffusion inpainting. • Efficient modeling and rendering of brush strokes to facilitate 3DGS painting in real time.

MrNeRF

23,010 görüntüleme • 1 yıl önce

A fun way to try the new Claude Fable. I asked it to train a bot using RL to navigate 3D worlds created with SpAItial AI. This is all running in the browser including RL training! Link to demo and code in comments What you can do: -> Train a bot from scratch, watch it learn in minutes, then drop it into a world it has never seen and it keeps navigating obstacles. -> The worlds are real scenes generated from a text prompt or a photo via the SpAItial AI API (you get a splat + a collision mesh). -> Mesh is made into a 2D walkability + height grid that the RL environment runs on. -> The trick to generalization: the policy only ever sees egocentric inputs. A 16-ray lidar, the goal's body frame, and its speed. No global coordinates, no map. So it learns navigation, not a memorized world.
1:05

A fun way to try the new Claude Fable. I asked it to train a bot using RL to navigate 3D worlds created with SpAItial AI. This is all running in the browser including RL training! Link to demo and code in comments What you can do: -> Train a bot from scratch, watch it learn in minutes, then drop it into a world it has never seen and it keeps navigating obstacles. -> The worlds are real scenes generated from a text prompt or a photo via the SpAItial AI API (you get a splat + a collision mesh). -> Mesh is made into a 2D walkability + height grid that the RL environment runs on. -> The trick to generalization: the policy only ever sees egocentric inputs. A 16-ray lidar, the goal's body frame, and its speed. No global coordinates, no map. So it learns navigation, not a memorized world.

RO2⚡️

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Hitting it out of (and into) the ballpark all in one day 🏌️ You won’t want to miss our new behind-the-scenes series coming soon…
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Hitting it out of (and into) the ballpark all in one day 🏌️ You won’t want to miss our new behind-the-scenes series coming soon…

Boston Common Golf

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Check out CAT3D! Image(s)-to-3D in 1 minute! Given any number of real or generated images, CAT3D uses a multi-view diffusion prior to create consistent novel views. These views are used to reconstruct a 3D scene using NeRF/3DGS.
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Check out CAT3D! Image(s)-to-3D in 1 minute! Given any number of real or generated images, CAT3D uses a multi-view diffusion prior to create consistent novel views. These views are used to reconstruct a 3D scene using NeRF/3DGS.

Philipp Henzler

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Behind The Scenes of “RING AROUND THE ROLLS” Ft. IG: YFNLUCCI Off My New Album SET IN STONE Out JULY 17th! 🔥🔥🔥🔥 Video Coming Soon!! Pre Save Now! In Bio!!!
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Behind The Scenes of “RING AROUND THE ROLLS” Ft. IG: YFNLUCCI Off My New Album SET IN STONE Out JULY 17th! 🔥🔥🔥🔥 Video Coming Soon!! Pre Save Now! In Bio!!!

Yung Rénzél 👑

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📸 A few photos. ⚡ A few seconds. A high-quality 3D scene！🎬 Meet Topos-Lite, our new 3D Gaussian Splatting model. With just a few sparse multi-view images, it can generate a high-quality, renderable 3D scene in few seconds We’re excited to share more soon. The technical report is coming shortly — stay tuned and stay in touch. 👀 #ToposLite #3DGS #3DGeneration #SpatialAI #AIGC #photograph #3DArtwork
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📸 A few photos. ⚡ A few seconds. A high-quality 3D scene！🎬 Meet Topos-Lite, our new 3D Gaussian Splatting model. With just a few sparse multi-view images, it can generate a high-quality, renderable 3D scene in few seconds We’re excited to share more soon. The technical report is coming shortly — stay tuned and stay in touch. 👀 #ToposLite #3DGS #3DGeneration #SpatialAI #AIGC #photograph #3DArtwork

InSpatio｜影溯

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Take a peek behind-the-scenes to see master puppeteers using the oldest form of animation, stop-motion, to bring Guillermo del Toro’s #PinocchioMovie from set to screen. Watch now on Netflix. ❤️
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Take a peek behind-the-scenes to see master puppeteers using the oldest form of animation, stop-motion, to bring Guillermo del Toro’s #PinocchioMovie from set to screen. Watch now on Netflix. ❤️

Guillermo del Toro’s Pinocchio

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New open-source 3D world-generation model. I'm rendering a couple of worlds in the video, so check it out. You'll find the GitHub and the Hugging Face links to the model below. This is a multi-modal world model that you can use for a bunch of things: • To generate new worlds • To reconstruct worlds • To simulate 3D interactive worlds from a prompt, images, or a video You can edit the 3D outputs in Unity and Unreal Engine (they export as meshes, 3DGS files, and point clouds). You can also generate 3D characters in the world and walk around. Pretty fun stuff!
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New open-source 3D world-generation model. I'm rendering a couple of worlds in the video, so check it out. You'll find the GitHub and the Hugging Face links to the model below. This is a multi-modal world model that you can use for a bunch of things: • To generate new worlds • To reconstruct worlds • To simulate 3D interactive worlds from a prompt, images, or a video You can edit the 3D outputs in Unity and Unreal Engine (they export as meshes, 3DGS files, and point clouds). You can also generate 3D characters in the world and walk around. Pretty fun stuff!

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Isbaeu: Why is it so hard to find a billionaire that is of this size in Africa? Small stout: My kind of nature is called Achondroplasia, it occurs once out of every 20 to 40,000 births. So what it means is we are sparse in our numbers. I can mention a number of little people just like me who are successful in their careers
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Isbaeu: Why is it so hard to find a billionaire that is of this size in Africa? Small stout: My kind of nature is called Achondroplasia, it occurs once out of every 20 to 40,000 births. So what it means is we are sparse in our numbers. I can mention a number of little people just like me who are successful in their careers

IamJP 🪖

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😲💥Behind the scenes of the pyrotechnics to set the world record for largest fireworks display in the world.💥😲 🇺🇸Happy 250th Birthday 🇺🇸
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😲💥Behind the scenes of the pyrotechnics to set the world record for largest fireworks display in the world.💥😲 🇺🇸Happy 250th Birthday 🇺🇸

🇺🇸 𝓐𝓟𝓡𝓘𝓛 𝓢𝓟𝓐𝓡𝓚𝓢 🇺🇸

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coming soon ... the future went behind-the-scenes with the Harrisburg Senators and four of our top 10 prospects. get ready to tune in.
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coming soon ... the future went behind-the-scenes with the Harrisburg Senators and four of our top 10 prospects. get ready to tune in.

Washington Nationals

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Ready to take your 3DGS scene capturing skills to the next level? Check out this EPIC video tutorial Simon Bethke just dropped! Learn how to capture stunning scenes with step-by-step explanations and discover some insider camera hacks that will instantly boost your results. He also is breaking down how to create the perfect sparse point cloud and train your scene like a pro! If you’re into radiance fields or just love pushing the boundaries of what’s possible with 3D scenes, this one’s for you This is a sneak peak. Please find the link to the full tutorial in the comments.
0:46

Ready to take your 3DGS scene capturing skills to the next level? Check out this EPIC video tutorial Simon Bethke just dropped! Learn how to capture stunning scenes with step-by-step explanations and discover some insider camera hacks that will instantly boost your results. He also is breaking down how to create the perfect sparse point cloud and train your scene like a pro! If you’re into radiance fields or just love pushing the boundaries of what’s possible with 3D scenes, this one’s for you This is a sneak peak. Please find the link to the full tutorial in the comments.

MrNeRF

17,882 görüntüleme • 1 yıl önce

Exclusive: Behind the scenes with Afroman crafting new music in the studio Had a chance to go behind the scenes on some of the new music Afroman will be dropping soon. Watched him craft the lyrics, lay down the verses, and edit his way through it in real time. Dude’s a genius. Watch out for his new stuff coming out. It’s going to be 🔥
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Exclusive: Behind the scenes with Afroman crafting new music in the studio Had a chance to go behind the scenes on some of the new music Afroman will be dropping soon. Watched him craft the lyrics, lay down the verses, and edit his way through it in real time. Dude’s a genius. Watch out for his new stuff coming out. It’s going to be 🔥

The Facts Dude 🤙🏽

30,315 görüntüleme • 4 ay önce

📢WorldAgents: 3D worlds only from 2D image models - without any training! We propose an agentic approach with a Director (VLM) to plan the scene, a Generator (Flux or NanoBanana) for new views, and a Verifier (VLM) for selection / 3D consistency. -> High-fidelity 3D worlds from a single text prompt. What's remarkable: our agents find consistent views from 2D image models to obtain 3D-consistent worlds; this shows that image models contain world priors - agents just need to find them! Great work by Ziya Erkoç Angela Dai
0:25

📢WorldAgents: 3D worlds only from 2D image models - without any training! We propose an agentic approach with a Director (VLM) to plan the scene, a Generator (Flux or NanoBanana) for new views, and a Verifier (VLM) for selection / 3D consistency. -> High-fidelity 3D worlds from a single text prompt. What's remarkable: our agents find consistent views from 2D image models to obtain 3D-consistent worlds; this shows that image models contain world priors - agents just need to find them! Great work by Ziya Erkoç Angela Dai

Matthias Niessner

19,080 görüntüleme • 5 ay önce