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Space objects in 3D NASA created 3D models of stars and supernova remnants by combining data from the Chandra X-ray Observatory with computer calculations. These models can not only be viewed on the screen, but also printed on a 3D printer. Here they are, from left to right —... show more

Black Hole

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13,055 görüntüleme • 1 yıl önce •via X (Twitter)

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WebGL2 3D engine built from scratch I made it to benchmark 3D on web without any libraries, achieving a smooth 120FPS and scoring 4 x 100 in Lighthouse. Code below Also, the whole JavaScript is only 10kb. Rain shader from . tutorial 3D models from pikuma.com course

WebGL2 3D engine built from scratch I made it to benchmark 3D on web without any libraries, achieving a smooth 120FPS and scoring 4 x 100 in Lighthouse. Code below Also, the whole JavaScript is only 10kb. Rain shader from . tutorial 3D models from pikuma.com course

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el.cine

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Claude Opus 4.8 + OpenClaw now turns a restaurant's menu photos into 3D models guests can view, customize and order, then mails the owner a postcard with the QR…on autopilot. here's how agencies can land recurring contracts with this system: - scans every restaurant in a city in real time - pulls their real reviews, ratings, and reviewer-uploaded food photos - turns each dish photo into an interactive 3D model - samples the brand color straight from the restaurant's photos - guests can view each dish, customize it, and order on the spot - writes a printed postcard about their best dish - mails it to the registered office, addressed to the owner, with a QR to the live 3D menu every step from the scrape to the 3D models to the mailbox is automated reply "3D" + RT and i'll send you a free guide so you can build this too (must be following so i can DM you)

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MrNeRF

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This 3D printed word illusion design created in Tinkercad by Moosey (In the Snow) shows MOM from one direction, DAD from another, and has a surprise on the bottom! 🌹 ♥️ 🌷 ♥️ 🌹

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Tinkercad

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@levelsio

119,210 görüntüleme • 1 yıl önce

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Stability AI

181,479 görüntüleme • 1 yıl önce

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@levelsio

47,093 görüntüleme • 11 ay önce

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We’ve seen humanoid robots walk around for a while, but when will they actually help with useful tasks in daily life? The challenge here is the diversity and complexity of real-world scenes. Our new work tackles this problem via 3D visuomotor policy learning. Using data from only 1 scene, our Improved 3D Diffusion Policy (iDP3) enables a full-sized humanoid robot to autonomously pick&place objects, pour water, and wipe tables, in the wild open world. (and all these skills are useful, right?) Web: Fully open-sourced code:

Yanjie Ze

75,271 görüntüleme • 1 yıl önce

This is some quietly impressive work on making video world models actually controllable in 4D space. VerseCrafter lets you take an input image, use something like Blender to animate the 3D camera path and object trajectories, then uses that to condition generation. Scribbling in 2D feels so crude in comparison. The authors represent everything in a shared 4D world state - static background as a point cloud, moving objects as 3D gaussian trajectories. The gaussians are an interesting choice because they capture position, shape, and orientation probabilistically rather than forcing rigid bounding boxes or category specific models like SMPL-X for human bodies. They bolt this onto frozen Wan2.1 with a lightweight adapter, so they get a strong video prior. They also built a pipeline to auto extract 4D annotations from real world videos to train this puppy. It doesn't look sexy yet, but IMO this is the interface video world models need - actual 3D authoring tools to exert control rather than crude scribbles and prompt incantations.

This is some quietly impressive work on making video world models actually controllable in 4D space. VerseCrafter lets you take an input image, use something like Blender to animate the 3D camera path and object trajectories, then uses that to condition generation. Scribbling in 2D feels so crude in comparison. The authors represent everything in a shared 4D world state - static background as a point cloud, moving objects as 3D gaussian trajectories. The gaussians are an interesting choice because they capture position, shape, and orientation probabilistically rather than forcing rigid bounding boxes or category specific models like SMPL-X for human bodies. They bolt this onto frozen Wan2.1 with a lightweight adapter, so they get a strong video prior. They also built a pipeline to auto extract 4D annotations from real world videos to train this puppy. It doesn't look sexy yet, but IMO this is the interface video world models need - actual 3D authoring tools to exert control rather than crude scribbles and prompt incantations.

Bilawal Sidhu

25,802 görüntüleme • 6 ay önce

2023 was the year of AI avatars 2024 was the year of AI photos 2025 was the year of AI videos And I think it's becoming clear now that 2026 will be the year of AI world models Fully interactive explorable 3d worlds generated from one or multiple 2d images or a prompt In turn these 2d images can then be generated by AI too So soon you can generate fully explorable virtual 3d worlds based on your own imagination Next will be figuring out how to make those worlds interactive This is World Labs (unaffiliated, but I like it) As always a lot of big AI model companies are now working on the same thing: 3d world models, only World Labs has a real properly working demo (for now) Very exciting time again!

2023 was the year of AI avatars 2024 was the year of AI photos 2025 was the year of AI videos And I think it's becoming clear now that 2026 will be the year of AI world models Fully interactive explorable 3d worlds generated from one or multiple 2d images or a prompt In turn these 2d images can then be generated by AI too So soon you can generate fully explorable virtual 3d worlds based on your own imagination Next will be figuring out how to make those worlds interactive This is World Labs (unaffiliated, but I like it) As always a lot of big AI model companies are now working on the same thing: 3d world models, only World Labs has a real properly working demo (for now) Very exciting time again!

@levelsio

584,228 görüntüleme • 10 ay önce

Astronomers just watched a star explode - and saw its insides exposed. For the first time in history, scientists got a direct look inside a star at the moment it went supernova - revealing inner layers that had, until now, only existed in theory. A massive star 2.2 billion light-years away reached the end of its life and exploded in a brilliant burst of light. But something was off. When researchers analyzed the spectrum of light from the explosion, they didn't see the usual lighter elements like hydrogen, helium, or oxygen. Instead, they saw silicon. Sulphur. Argon. Elements normally buried deep inside a star's core. This wasn't supposed to be possible. According to stellar models, massive stars - those at least eight times the mass of our Sun - are layered like onions. Their cores are packed with heavy elements like iron, while progressive lighter layers of silicon, oxygen, and carbon sit above. Hydrogen and helium form the outermost shells. These outer layers usually obscure everything underneath. Astronomers believe the star violently ejected its outer layers in the final stages of life – not just the hydrogen and helium, but even the middle shells that hide the deeper interior. It’s possible that extreme instability in stars more than 100 times the mass of our Sun could cause this kind of shedding. While similar “pre-explosion outbursts” have been seen in other stars, this is the first time they’ve exposed the inner structure so clearly. The supernova was first detected by the Zwicky Transient Facility in California. Within 24 hours, astronomers triggered rapid follow-up observations with Hawaii’s Keck Observatory and captured the light signature before the explosion faded. That speed was critical. Supernovae evolve quickly, sometimes over just a few hours, and once the star’s material expands and cools, the deeper layers disappear from view. Read the study: Schulze, Steve, et al. “Extremely Stripped Supernova Reveals a Silicon and Sulfur Formation Site.” Nature Credit: Keck Observatory/Adam Makarenko

Astronomers just watched a star explode - and saw its insides exposed. For the first time in history, scientists got a direct look inside a star at the moment it went supernova - revealing inner layers that had, until now, only existed in theory. A massive star 2.2 billion light-years away reached the end of its life and exploded in a brilliant burst of light. But something was off. When researchers analyzed the spectrum of light from the explosion, they didn't see the usual lighter elements like hydrogen, helium, or oxygen. Instead, they saw silicon. Sulphur. Argon. Elements normally buried deep inside a star's core. This wasn't supposed to be possible. According to stellar models, massive stars - those at least eight times the mass of our Sun - are layered like onions. Their cores are packed with heavy elements like iron, while progressive lighter layers of silicon, oxygen, and carbon sit above. Hydrogen and helium form the outermost shells. These outer layers usually obscure everything underneath. Astronomers believe the star violently ejected its outer layers in the final stages of life – not just the hydrogen and helium, but even the middle shells that hide the deeper interior. It’s possible that extreme instability in stars more than 100 times the mass of our Sun could cause this kind of shedding. While similar “pre-explosion outbursts” have been seen in other stars, this is the first time they’ve exposed the inner structure so clearly. The supernova was first detected by the Zwicky Transient Facility in California. Within 24 hours, astronomers triggered rapid follow-up observations with Hawaii’s Keck Observatory and captured the light signature before the explosion faded. That speed was critical. Supernovae evolve quickly, sometimes over just a few hours, and once the star’s material expands and cools, the deeper layers disappear from view. Read the study: Schulze, Steve, et al. “Extremely Stripped Supernova Reveals a Silicon and Sulfur Formation Site.” Nature Credit: Keck Observatory/Adam Makarenko

Black Hole

26,579 görüntüleme • 11 ay önce

📢 Our lab has been exploring 3D world models for years — and we’re thrilled to share **PhysTwin**: a milestone that reconstructs object appearance, geometry, and dynamics from just a few seconds of interaction! Led by the amazing Hanxiao Jiang 👉 PhysTwin combines **Gaussian splatting** with **inverse dynamics optimization** based on simple **spring-mass** systems. ⚙️ The result? Real-time, action-conditioned 3D video prediction under novel interactions (i.e., 3D world models). 🔑 A few key takeaways: 1. Having the right structure (e.g., particles/masses) helps navigate the trade-off between sample efficiency, generalization, and broad applicability. 2. Visual foundation models (VFMs) have matured to the point where they can provide rich supervision for world modeling (e.g., tracking, shape completion). 3. Beyond VFMs, many crucial components have come together in recent years: Gaussian splats for rendering, NVIDIA Warp for high-performance simulation, and scene/asset generation from a wide range of labs and companies. The future of 3D world models is looking bright! ✨ 4. The resulting digital twin supports a wide range of downstream applications—especially in data generation and policy evaluation, thanks to its realistic rendering and simulation capabilities. 🎥 All code and data to reproduce the results, along with interactive demos, are available on the website. Check the following visualizations of: (1) observations, (2) reconstructed state/actions, (3) interactive digital twins, and (4) the overlays between real-world robot teleoperation and our model’s open-loop predictions.

📢 Our lab has been exploring 3D world models for years — and we’re thrilled to share PhysTwin: a milestone that reconstructs object appearance, geometry, and dynamics from just a few seconds of interaction! Led by the amazing Hanxiao Jiang 👉 PhysTwin combines Gaussian splatting with inverse dynamics optimization based on simple spring-mass systems. ⚙️ The result? Real-time, action-conditioned 3D video prediction under novel interactions (i.e., 3D world models). 🔑 A few key takeaways: 1. Having the right structure (e.g., particles/masses) helps navigate the trade-off between sample efficiency, generalization, and broad applicability. 2. Visual foundation models (VFMs) have matured to the point where they can provide rich supervision for world modeling (e.g., tracking, shape completion). 3. Beyond VFMs, many crucial components have come together in recent years: Gaussian splats for rendering, NVIDIA Warp for high-performance simulation, and scene/asset generation from a wide range of labs and companies. The future of 3D world models is looking bright! ✨ 4. The resulting digital twin supports a wide range of downstream applications—especially in data generation and policy evaluation, thanks to its realistic rendering and simulation capabilities. 🎥 All code and data to reproduce the results, along with interactive demos, are available on the website. Check the following visualizations of: (1) observations, (2) reconstructed state/actions, (3) interactive digital twins, and (4) the overlays between real-world robot teleoperation and our model’s open-loop predictions.

Yunzhu Li

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There's a lot of both 2D and 3D effort that we're putting into Star Birds together with our friends at Toukana Interactive! Here's a quick behind the scenes look at some of the assets, 3D models, birb shenanigans and cutscenes that you might have already seen in the Early Access version! 🚀✨ Have you already joined us on this space adventure? Don't miss out! Star Birds in Early Access is available on Steam:

There's a lot of both 2D and 3D effort that we're putting into Star Birds together with our friends at Toukana Interactive! Here's a quick behind the scenes look at some of the assets, 3D models, birb shenanigans and cutscenes that you might have already seen in the Early Access version! 🚀✨ Have you already joined us on this space adventure? Don't miss out! Star Birds in Early Access is available on Steam:

Kurzgesagt

100,414 görüntüleme • 9 ay önce

3D Printed 1:50 Starship Pad A Orbital Launch Mount In honor of the last Starship launch from Pad A in a few days, here is a video teaser of my work-in-progress 3D printed Starbase Pad A OLM. This design features 21 servos to control the main functions of the mount and customizable software, providing some unique opportunities. Sound on to hear it in action!

3D Printed 1:50 Starship Pad A Orbital Launch Mount In honor of the last Starship launch from Pad A in a few days, here is a video teaser of my work-in-progress 3D printed Starbase Pad A OLM. This design features 21 servos to control the main functions of the mount and customizable software, providing some unique opportunities. Sound on to hear it in action!

Ryan Hansen Space

48,742 görüntüleme • 9 ay önce