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IronSight turns 2D range footage into a replayable 4D world -- with shot detection, 3D target tracking, and a camera you can move anywhere. Seeing my own runs reconstructed from every angle is ridiculously fun. Can't wait till we can run this tech in real time.

Bilawal Sidhu

107,615 subscribers

20,891 views • 19 days ago •via X (Twitter)

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Single video → a reframeable 4D Gaussian Splatting scene. Not a sequence of separately built 3D frames played back like a video. This is one continuous space-time scene, reconstructed from a single clip shot on an iPhone 16. We combine feed-forward Gaussian generation, 3D tracking, and 4D Gaussian Splatting, aiming to deliver it as a compact 4D video file that runs on your phone. Still early R&D. The goal: make 4DGS something anyone can create and experience, not just researchers with a camera rig.

Single video → a reframeable 4D Gaussian Splatting scene. Not a sequence of separately built 3D frames played back like a video. This is one continuous space-time scene, reconstructed from a single clip shot on an iPhone 16. We combine feed-forward Gaussian generation, 3D tracking, and 4D Gaussian Splatting, aiming to deliver it as a compact 4D video file that runs on your phone. Still early R&D. The goal: make 4DGS something anyone can create and experience, not just researchers with a camera rig.

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3d world abilities of AI models keep getting better, this is @Kling_AI 1.5 It can move around a space in 3d and you can steer its camera movements All based on a single input image

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The new Krea 3D feature is insanely good. You can turn an image into a 3D model to move & rotate in space - and it guides real-time scene generation. Watch me move this couch around a living room ⬇️

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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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Just built a 3D Strava/Apple Health fitness visualizer in Omma AI (by Spline) that turns .gpx files into 3D terrain with live metrics. Drag, drop, and watch your run come to life in real-time. Lmk if you want to remix and test with your own data!

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China just dropped an open source model that turns any phone into a 3D scanner you point it at a room and walk through it the whole space builds itself into a 3D point cloud in real time as the camera moves, no LiDAR and no depth sensor anywhere it held a full 13 minute walkthrough at 25,000 frames without the map drifting or collapsing > ~20 fps on a single GPU > works indoors and outdoors from plain footage > the scan normally needs a $50,000 rig and a technician > Apache 2.0 and runs fully offline on your machine repo in the reply

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⚡NEW: 🇮🇷 Iran Can Now Strike Anywhere in the World For the first time, the IRGC launched a long-range missile from a warship, which they claim allows them to strike any target around the world. The missile traveled 750 km in a test launch before hitting a target in the Iranian desert. "Through this new achievement, our range of influence and naval power have increased to any point required."

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AI’s next frontier is Spatial Intelligence, a technology that will turn seeing into reasoning, perception into action, and imagination into creation. But what is it? Why does it matter? How do we build it? And how can we use it? Today, I want to share with you my thoughts on building and using world models to unlock spatial intelligence in this essay below. 1/n

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claude fable 5, gpt-5.6 sol, and kimi k3 can run their own website agency on autopilot here's the system each one runs: - picks its own niche and decides what businesses to target - scrapes every business in that niche off google maps - audits every real website, decides for itself what counts as broken - builds the full replacement site itself, real code, real design - writes the diagnosis line for the postcard, specific to that business - QR leads to a landing page where the owner pays to claim it reply "SYSTEM" + 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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“Why can’t I have fun like the big kids, Mom?” “Oh you can, dear. You can.” This mom at the skatepark turns that exact moment into reality, riding the ramps on a skateboard with her daughter balanced on the board with her as they go over the bumps and curves together. Being a mom is a calling — and sometimes it looks like this. Would you do almost anything so your kids can join in on the fun too?

“Why can’t I have fun like the big kids, Mom?” “Oh you can, dear. You can.” This mom at the skatepark turns that exact moment into reality, riding the ramps on a skateboard with her daughter balanced on the board with her as they go over the bumps and curves together. Being a mom is a calling — and sometimes it looks like this. Would you do almost anything so your kids can join in on the fun too?

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Segment Any 3D Gaussians paper page: Interactive 3D segmentation in radiance fields is an appealing task since its importance in 3D scene understanding and manipulation. However, existing methods face challenges in either achieving fine-grained, multi-granularity segmentation or contending with substantial computational overhead, inhibiting real-time interaction. In this paper, we introduce Segment Any 3D GAussians (SAGA), a novel 3D interactive segmentation approach that seamlessly blends a 2D segmentation foundation model with 3D Gaussian Splatting (3DGS), a recent breakthrough of radiance fields. SAGA efficiently embeds multi-granularity 2D segmentation results generated by the segmentation foundation model into 3D Gaussian point features through well-designed contrastive training. Evaluation on existing benchmarks demonstrates that SAGA can achieve competitive performance with state-of-the-art methods. Moreover, SAGA achieves multi-granularity segmentation and accommodates various prompts, including points, scribbles, and 2D masks. Notably, SAGA can finish the 3D segmentation within milliseconds, achieving nearly 1000x acceleration compared to previous SOTA.

Segment Any 3D Gaussians paper page: Interactive 3D segmentation in radiance fields is an appealing task since its importance in 3D scene understanding and manipulation. However, existing methods face challenges in either achieving fine-grained, multi-granularity segmentation or contending with substantial computational overhead, inhibiting real-time interaction. In this paper, we introduce Segment Any 3D GAussians (SAGA), a novel 3D interactive segmentation approach that seamlessly blends a 2D segmentation foundation model with 3D Gaussian Splatting (3DGS), a recent breakthrough of radiance fields. SAGA efficiently embeds multi-granularity 2D segmentation results generated by the segmentation foundation model into 3D Gaussian point features through well-designed contrastive training. Evaluation on existing benchmarks demonstrates that SAGA can achieve competitive performance with state-of-the-art methods. Moreover, SAGA achieves multi-granularity segmentation and accommodates various prompts, including points, scribbles, and 2D masks. Notably, SAGA can finish the 3D segmentation within milliseconds, achieving nearly 1000x acceleration compared to previous SOTA.

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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 views • 10 months ago