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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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29,201 views • 4 months ago •via X (Twitter)

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SpAItial AI4 months ago

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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

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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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Fill sparse brows with fine, hair-like strokes
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Castivaro

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I just one-shotted a 3D world with proper collision physics using the SpAItial AI API and PlayCanvas Here's how i did it: -> Install the spaitial-playcanvas-world skill: npx skills add spaitial-dev/spaitial-playcanvas-world -> Open Cursor or your preferred coding agent -> Paste the following prompt or use your own: "Using /spaitial-playcanvas-world skill and the spaitial api key provided build a PlayCanvas game from this world prompt: An empty monumental desert sci-fi palace interior with colossal stone arches, sand-dusted floors, bronze industrial machinery, filtered sunlight through high slit windows, carved geometric walls, long ceremonial corridors, immense scale, cinematic warm shadows, ancient-futurist architecture, quiet unoccupied environment. No people, no humans, no characters." This skill covers World and Collision mesh generation using the SpAItial api, and viewer + physics using Playcanvas.
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I just one-shotted a 3D world with proper collision physics using the SpAItial AI API and PlayCanvas Here's how i did it: -> Install the spaitial-playcanvas-world skill: npx skills add spaitial-dev/spaitial-playcanvas-world -> Open Cursor or your preferred coding agent -> Paste the following prompt or use your own: "Using /spaitial-playcanvas-world skill and the spaitial api key provided build a PlayCanvas game from this world prompt: An empty monumental desert sci-fi palace interior with colossal stone arches, sand-dusted floors, bronze industrial machinery, filtered sunlight through high slit windows, carved geometric walls, long ceremonial corridors, immense scale, cinematic warm shadows, ancient-futurist architecture, quiet unoccupied environment. No people, no humans, no characters." This skill covers World and Collision mesh generation using the SpAItial api, and viewer + physics using Playcanvas.

RO2⚡️

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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

23,060 views • 1 year ago

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.

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Sharing our recent work, GO-Renderer, which leverages generative models to perform high-quality controllable object rendering from sparse images without exact geometry and appearance modeling. Homepage: Paper:
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Sharing our recent work, GO-Renderer, which leverages generative models to perform high-quality controllable object rendering from sparse images without exact geometry and appearance modeling. Homepage: Paper:

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10,594 views • 6 months ago

Introducing the SpAItial API to help you build immersive 3D worlds programmatically. You can now create world from text, image url, uploaded image, and 360 panorama with code. Track generation status, download results, export meshes and more. ⬇️
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Introducing the SpAItial API to help you build immersive 3D worlds programmatically. You can now create world from text, image url, uploaded image, and 360 panorama with code. Track generation status, download results, export meshes and more. ⬇️

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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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Join me on a trip to Greece, I set the Time Machine to 375 BC. Will take an iPhone for the HD video but the WiFi options are sparse.
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Join me on a trip to Greece, I set the Time Machine to 375 BC. Will take an iPhone for the HD video but the WiFi options are sparse.

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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.

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The worlds you love. The creators behind them ✨ Disney Worldbuilders from legendary documentary director Leslie Iwerks. Coming soon to Disney+ 📹
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Introducing Z1T: Our first family of transformer-like models made for sparse probabilistic hardware like Z1 Achieving up to 140x energy efficiency gains over GPUs and revealing a new scaling law for sparse transformers Read the blog:

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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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