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Excited to release our first public AI web app, powered by Apple’s open-source ML-SHARP model, capable of transforming a single image into a 3D Gaussian Splat with real depth understanding in seconds. Try it here → #AI #Apple #VR #GaussianSplatting

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Niccolò Miranda

11,018 subscribers

201,185 görüntüleme • 6 ay önce •via X (Twitter)

Bilim & Teknoloji#AI#Apple#VR#GaussianSplatting
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People are underestimating Apple in AI. I just ran Apple’s new SHARP model locally and watched my photos turn into 3D Gaussian splats in seconds, then stepped inside them on Vision Pro. This feels like the beginning of something special. You really have to try it.
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People are underestimating Apple in AI. I just ran Apple’s new SHARP model locally and watched my photos turn into 3D Gaussian splats in seconds, then stepped inside them on Vision Pro. This feels like the beginning of something special. You really have to try it.

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Apple's open-source on-device AI model instantly turns images into scenes, and Vision Pro owners can try it out in the app Splat Studio. Details here:
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Apple's open-source on-device AI model instantly turns images into scenes, and Vision Pro owners can try it out in the app Splat Studio. Details here:

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DiffSplat Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation DiffSplat is a generative framework to synthesize 3D Gaussian Splats from text prompts & single-view images in ⚡️ 1~2 seconds. It is fine-tuned directly from a pretrained text-to-image diffusion model.
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DiffSplat Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation DiffSplat is a generative framework to synthesize 3D Gaussian Splats from text prompts & single-view images in ⚡️ 1~2 seconds. It is fine-tuned directly from a pretrained text-to-image diffusion model.

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🔥 Introducing Genie 1.0, our first step towards building multimodal AI. Genie is a text-to-3d model capable of creating any 3d object you can dream of in under 10 seconds with materials, quad mesh retopology, variable polycount, and in all standard formats! Try it on web and in Luma’s iOS app now → #generativeai #textto3d #multimodalai
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🔥 Introducing Genie 1.0, our first step towards building multimodal AI. Genie is a text-to-3d model capable of creating any 3d object you can dream of in under 10 seconds with materials, quad mesh retopology, variable polycount, and in all standard formats! Try it on web and in Luma’s iOS app now → #generativeai #textto3d #multimodalai

Luma

1,241,965 görüntüleme • 2 yıl önce

oh may.. 3D Gaussian Splat is so crazy now last time we need weeks to turn a room into a 3D model.. now with AI 3DGS, you do it in seconds… even zoom into the text and looks perfect give it like 6 months… you can turn a whole city into a full detailed 3D model
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oh may.. 3D Gaussian Splat is so crazy now last time we need weeks to turn a room into a 3D model.. now with AI 3DGS, you do it in seconds… even zoom into the text and looks perfect give it like 6 months… you can turn a whole city into a full detailed 3D model

el.cine

142,328 görüntüleme • 8 ay önce

I prompted Omma to build a #threejs app with real dynamic lighting on a 3D mesh - generated from a single image, using Depth Anything v2 + Transformers from Hugging Face ⚡ Depth estimation in the browser 🫧 3D mesh from the depth map 💡 Dynamic lighting reacting to the geometry No manual code. Pure AI prompting. The future of 3D on the web feels wide open.
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I prompted Omma to build a #threejs app with real dynamic lighting on a 3D mesh - generated from a single image, using Depth Anything v2 + Transformers from Hugging Face ⚡ Depth estimation in the browser 🫧 3D mesh from the depth map 💡 Dynamic lighting reacting to the geometry No manual code. Pure AI prompting. The future of 3D on the web feels wide open.

Joseph Azar

14,041 görüntüleme • 2 ay önce

Apple’s new LiTo model showcases a new method of converting 2D images to highly realistic 3D (Gaussian splat) objects More interestingly: it aims to accurately mimic the complex lighting, materials, and reflections shown in the original photo! They’re working to open source it
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Apple’s new LiTo model showcases a new method of converting 2D images to highly realistic 3D (Gaussian splat) objects More interestingly: it aims to accurately mimic the complex lighting, materials, and reflections shown in the original photo! They’re working to open source it

Brad Lynch

40,615 görüntüleme • 4 ay önce

Turn any 3D Gaussian splat into a collision/proxy mesh (glTF 3D format). 🧊 Coming in the next release of the free and open source SuperSplat Editor by PlayCanvas. What do you think? 👂
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Turn any 3D Gaussian splat into a collision/proxy mesh (glTF 3D format). 🧊 Coming in the next release of the free and open source SuperSplat Editor by PlayCanvas. What do you think? 👂

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Introducing Cube 2.0, a significant step towards controllable 3D game-world and video generation from any input. Powered by: 🌟 Image-to-3D in seconds w/ a new foundation model 🐎 Text-to-animation 🌎 AI rendering to create beautiful worlds (mesh+splats) Web app → Discord → Blog →
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Introducing Cube 2.0, a significant step towards controllable 3D game-world and video generation from any input. Powered by: 🌟 Image-to-3D in seconds w/ a new foundation model 🐎 Text-to-animation 🌎 AI rendering to create beautiful worlds (mesh+splats) Web app → Discord → Blog →

Common Sense Machines

411,381 görüntüleme • 2 yıl önce

Spark 2.0 is here! 🚀 We’re redefining what’s possible on the web with a streamable LoD system for 3D Gaussian Splatting. Built on Three.js, you can now stream massive 100M+ splat worlds to any device from mobile to VR using WebGL2. All open-source. Dive into the tech 👇
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Spark 2.0 is here! 🚀 We’re redefining what’s possible on the web with a streamable LoD system for 3D Gaussian Splatting. Built on Three.js, you can now stream massive 100M+ splat worlds to any device from mobile to VR using WebGL2. All open-source. Dive into the tech 👇

spark

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New paper from Apple - Sharp Monocular View Synthesis in Less than a Second Mescheder et al. @ Apple just released a very impressive paper (congrats! 🎉🥳). You give it an image and it generates a really great looking 3d Gaussian representation. Uses depth pro. It's really good. The model is about 3GB, and takes ~5-10s on my M1 Max per image. Single feedforward pass network. The video is using "Metal Splatter" to view the .ply from ml-sharp on Apple Vision Pro. Some really wow moments today trying it on different scenes.
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New paper from Apple - Sharp Monocular View Synthesis in Less than a Second Mescheder et al. @ Apple just released a very impressive paper (congrats! 🎉🥳). You give it an image and it generates a really great looking 3d Gaussian representation. Uses depth pro. It's really good. The model is about 3GB, and takes ~5-10s on my M1 Max per image. Single feedforward pass network. The video is using "Metal Splatter" to view the .ply from ml-sharp on Apple Vision Pro. Some really wow moments today trying it on different scenes.

Tim Davison ᯅ

132,865 görüntüleme • 7 ay önce

I'm thrilled to announce the launch of ⚡️Flash Diffusion from Jasper! Earlier this year, with our acquisition of Clipdrop, we launched the Jasper AI Research Lab in Paris. Today, we are excited to release our first piece of groundbreaking research: the open-source distillation method, "Flash Diffusion". Flash Diffusion accelerates inference by 500%, reduces computing costs, and produces higher-quality image outputs. Dive into the details and discover how Flash Diffusion is set to revolutionize the field of AI and image synthesis. Read all about it here: Try a demo on Hugging Face:
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I'm thrilled to announce the launch of ⚡️Flash Diffusion from Jasper! Earlier this year, with our acquisition of Clipdrop, we launched the Jasper AI Research Lab in Paris. Today, we are excited to release our first piece of groundbreaking research: the open-source distillation method, "Flash Diffusion". Flash Diffusion accelerates inference by 500%, reduces computing costs, and produces higher-quality image outputs. Dive into the details and discover how Flash Diffusion is set to revolutionize the field of AI and image synthesis. Read all about it here: Try a demo on Hugging Face:

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Apple’s new Gaussian Splat model seems like the perfect tech for a native Maps app on Vision Pro. Imagine an immersive version of Look Around where you can actually walk through cities and explore places from every angle, in 3D. I tried it with some of my favorite places, and it genuinely feels like being there again. It’s wild that this works from just a single image.
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Apple’s new Gaussian Splat model seems like the perfect tech for a native Maps app on Vision Pro. Imagine an immersive version of Look Around where you can actually walk through cities and explore places from every angle, in 3D. I tried it with some of my favorite places, and it genuinely feels like being there again. It’s wild that this works from just a single image.

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Introducing RTFM (Real-Time Frame Model): a highly efficient World Model that generates video frames in real time as you interact with it, powered by a single H100 GPU. RTFM renders persistent and 3D consistent worlds, both real and imaginary. Try our demo of RTFM today!

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We're thrilled to release & open-source Hunyuan3D World Model 1.0! This model enables you to generate immersive, explorable, and interactive 3D worlds from just a sentence or an image. It's the industry's first open-source 3D world generation model, compatible with CG pipelines for full editability & simulation. Set to transform game development, VR, digital content creation and so on. Get started now👇🏻 Project Page： Try it now： Github： Hugging Face：

Tencent Hy

1,230,371 görüntüleme • 11 ay önce

Another city. Another full 3D Gaussian Splat reconstruction. This entire neighborhood was captured while walking with an Insta360 X5, then processed with our GPU pipeline and transformed into a high-fidelity, machine-readable 3D environment with Over the Reality. What you’re seeing is not an isolated virtual world. It’s a 3D digital twin of a real-world location, built from structured spatial data where every building, street, and detail can become usable by AI, robotics, and XR. And it’s happening at scale, across cities in more than 180 countries every day. Have an Insta360 X5 and want to become a mapper? Apply here: Want to build a 3D Gaussian Splat from a video you already recorded? Do it for free at powered by Over the Reality.
2:42

Another city. Another full 3D Gaussian Splat reconstruction. This entire neighborhood was captured while walking with an Insta360 X5, then processed with our GPU pipeline and transformed into a high-fidelity, machine-readable 3D environment with Over the Reality. What you’re seeing is not an isolated virtual world. It’s a 3D digital twin of a real-world location, built from structured spatial data where every building, street, and detail can become usable by AI, robotics, and XR. And it’s happening at scale, across cities in more than 180 countries every day. Have an Insta360 X5 and want to become a mapper? Apply here: Want to build a 3D Gaussian Splat from a video you already recorded? Do it for free at powered by Over the Reality.

Over the Reality 🌐

400,097 görüntüleme • 2 ay önce

A few environments, created locally on my PC in a few seconds each using that cool new Apple image to Gaussian splat tech, stitched together and lit in Octane Render 2026 and combined with a few models made using Hyper3D by Deemos Rodin. Next year is bound to be the year of Generative 3d.
0:58

A few environments, created locally on my PC in a few seconds each using that cool new Apple image to Gaussian splat tech, stitched together and lit in Octane Render 2026 and combined with a few models made using Hyper3D by Deemos Rodin. Next year is bound to be the year of Generative 3d.

Martin Nebelong

10,485 görüntüleme • 6 ay önce

From 2 second (faster on higher end GPUs) Gaussian splat generations, using Apple's "Sharp Monocular View Synthesis in Less Than a Second" code, running locally on my system. Imported into Octane Render 2026 which has fully path traced rendering of Gaussian splats. Stuff like this is why I've been so excited to see where Gaussian splatting research would go. Combined with a real-time Generative AI "renderer" this stuff could start to get quite insane. Combined with Dreams it would be even better ofc :D Code to the Apple code in the comments below.
0:33

From 2 second (faster on higher end GPUs) Gaussian splat generations, using Apple's "Sharp Monocular View Synthesis in Less Than a Second" code, running locally on my system. Imported into Octane Render 2026 which has fully path traced rendering of Gaussian splats. Stuff like this is why I've been so excited to see where Gaussian splatting research would go. Combined with a real-time Generative AI "renderer" this stuff could start to get quite insane. Combined with Dreams it would be even better ofc :D Code to the Apple code in the comments below.

Martin Nebelong

36,774 görüntüleme • 6 ay önce

Tired of waiting for the "New Siri" so I built it myself. Combining Google Gemini AI Live with WebGPU for a 3D-aware "Visual Intelligence" prototype. - Three.js for Apple Intelligence glow shader. - Depth-Anything Local ML for real-time 3D scanning effect. - Gemini Live for Multimodal voice + vision. Built with Omma AI. Lmk if you would like to try or remix! Anyone here planning to go to WWDC26?
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Tired of waiting for the "New Siri" so I built it myself. Combining Google Gemini AI Live with WebGPU for a 3D-aware "Visual Intelligence" prototype. - Three.js for Apple Intelligence glow shader. - Depth-Anything Local ML for real-time 3D scanning effect. - Gemini Live for Multimodal voice + vision. Built with Omma AI. Lmk if you would like to try or remix! Anyone here planning to go to WWDC26?

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48,030 görüntüleme • 2 ay önce