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Our Images-to-3D-Head API is here Converting ordinary photos into production-ready 3D heads – with MetaHuman topology & 360° textures. No hardware, depth sensors or manual cleanup. Fully automated, built for scale Test it now: #medtech #gamedev #vfx

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KeenTools

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43,802 görüntüleme • 19 gün önce •via X (Twitter)

Bilim & TeknolojiOyunSanat#medtech#gamedev#vfx
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Automated PBR Textures. Flat color vs PBR. Normal 3D scans only capture raw color. They bake in shadows and have zero material data. Drop them into a modern lighting engine, and they look lifeless because they don’t know what’s shiny or matte. So we built an automated PBR export. Delit Base Color, Roughness, and Metalness—all output alongside your geometry. Is it 100% flawless every time? No. But it gives you a massive, creative head start. With some tweaking and layering, get the exact look you want in minutes instead of hand painting for hours.

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AR GenAI by AR Code is transforming the food industry. Creating an AR experience for a dish can now start with a single photo. As shown in the video, a single dessert photo is converted into an AR-ready 3D model with realistic textures and depth. AR Code SaaS then instantly generates an AR QR Code to share the experience anywhere. Customers can launch it immediately with a quick QR Code scan. No app required. Photo → AI 3D generation → AR QR Code → Instant WebAR What once required specialized software, costly workflows, and advanced 3D skills is now becoming accessible in minutes. This is reshaping how restaurants and food brands create, publish, and distribute immersive content at scale. Learn more: Follow AR Code for updates. #ARGenAI #ARCode #FoodTech #RestaurantTech #ImageTo3D #ImageToAR #GenerativeAI #GenAI #AI3D #AI #3DFromImage #WebAR

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Sora 2 API + n8n is f*cking wild 🤯 This AI system generates unlimited UGC videos using n8n + the Sora 2 API. Fully automated. No watermarks. HD quality. Perfect for e-commerce brands & agencies who need to scale content without scaling costs. Most teams are still paying $10k+/month for influencer content... Meanwhile, with the Sora 2 API: One product photo → 50+ HD videos with no watermarks → full commercial rights → pennies per video. Here's how it works: → Upload a product image to n8n → Add your creative brief + select video length → Sora 2 API generates HD UGC automatically → Get unboxings, demos, lifestyle shots & product showcases → Videos ready instantly—no watermarks, no hassle Built 100% in n8n. Ready for production. Want the full n8n workflow? > Comment "SORA" + > like this post And I'll send it over (must be following so I can DM)

Mike Futia

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I built a fully playable 3D platformer game in exactly 3 days, using almost entirely AI-generated assets. To test whether AI can really replace the asset grind, I came up with a steampunk cat universe from scratch and brought it straight into Unreal Engine 5. Here is how it was done, step by step: 👇 🎨 World and prop concepting 🧩 Tripo 3.1 for low-poly smart meshes and PBR textures 🩹 Blender for geometry cleanup and AO baking 🦴 AccuRIG for character animation 🚀 UE5 for level design and blueprints The craziest part is that AI handled the routine, and I still had the creative energy to make the level actually fun. Watch the full workflow and gameplay reveal: #GameDev #TripoAI #UnrealEngine5 #3DModeling #IndieDev #Blender3D

Stefan 3D AI

17,426 görüntüleme • 2 ay önce

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📢📢 𝐏𝐞𝐫𝐜𝐇𝐞𝐚𝐝: 𝐏𝐞𝐫𝐜𝐞𝐩𝐭𝐮𝐚𝐥 𝐇𝐞𝐚𝐝 𝐌𝐨𝐝𝐞𝐥 𝐟𝐨𝐫 𝐒𝐢𝐧𝐠𝐥𝐞-𝐈𝐦𝐚𝐠𝐞 𝟑𝐃 𝐇𝐞𝐚𝐝 𝐑𝐞𝐜𝐨𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐢𝐨𝐧 & 𝐄𝐝𝐢𝐭𝐢𝐧𝐠📢📢 PercHead reconstructs realistic 3D heads from a single image and enables disentangled 3D editing via geometric controls and style inputs from images or text. At its core is a generalized 3D head decoder trained with perceptual supervision from DINOv2 and SAM 2.1. We find that our new perceptual loss formulation improves reconstruction fidelity compared to commonly-used methods such as LPIPS. Our trained reconstruction model is able to generate 3D-consistent heads from a single input image. Even with challenging side-view inputs, the model robustly infers missing regions for a coherent, high-fidelity output. In addition, our architecture seamlessly adapts to downstream tasks: by swapping the encoder, we can transform the model into a disentangled 3D editing pipeline. In this scenario, we can control geometry through - potentially hand-drawn - segmentation maps, and condition style via image or text prompt. We also provide an interactive GUI to enable the exploration of our editing pipeline. 🌍 📽️ Great work by Antonio Oroz and Tobias Kirschstein

Matthias Niessner

18,855 görüntüleme • 8 ay önce

🚀 Announcing Echo — our new frontier model for 3D world generation. Echo turns a simple text prompt or image into a fully explorable, 3D-consistent world. Instead of disconnected views, the result is a single, coherent spatial representation you can move through freely. This is part of a bigger shift in AI: from generating pixels and tokens to generating spaces. Echo predicts a geometry-grounded 3D scene at metric scale, meaning every novel view, depth map, and interaction comes from the same underlying world — not independent hallucinations. Once generated, the world is interactive in real time. You control the camera, explore from any angle, and render instantly — even on low-end hardware, directly in the browser. High-quality 3D world exploration is no longer gated by expensive equipment. Under the hood, Echo infers a physically grounded 3D representation and converts it into a renderable format. For our web demo, we use 3D Gaussian Splatting (3DGS) for fast, GPU-friendly rendering — but the representation itself is flexible and can be easily adapted. Why this matters: consistent 3D worlds unlock real workflows — digital twins, 3D design, game environments, robotics simulation, and more. From a single photo or a line of text, Echo builds worlds that are reliable, editable, and spatially faithful. Echo also enables scene editing and restyling. Change materials, remove or add objects, explore design variations — all while preserving global 3D consistency. Editing no longer breaks the world. This is only the beginning. Echo is the foundation for future world models with dynamics, physical reasoning, and richer interaction — environments that don’t just look right, but behave right. Explore the generated worlds on our website and sign up for the closed beta. The era of spatial intelligence starts here. 🌍 #Echo #WorldModels #SpatialAI #3DFoundationModels Check it out:
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🚀 Announcing Echo — our new frontier model for 3D world generation. Echo turns a simple text prompt or image into a fully explorable, 3D-consistent world. Instead of disconnected views, the result is a single, coherent spatial representation you can move through freely. This is part of a bigger shift in AI: from generating pixels and tokens to generating spaces. Echo predicts a geometry-grounded 3D scene at metric scale, meaning every novel view, depth map, and interaction comes from the same underlying world — not independent hallucinations. Once generated, the world is interactive in real time. You control the camera, explore from any angle, and render instantly — even on low-end hardware, directly in the browser. High-quality 3D world exploration is no longer gated by expensive equipment. Under the hood, Echo infers a physically grounded 3D representation and converts it into a renderable format. For our web demo, we use 3D Gaussian Splatting (3DGS) for fast, GPU-friendly rendering — but the representation itself is flexible and can be easily adapted. Why this matters: consistent 3D worlds unlock real workflows — digital twins, 3D design, game environments, robotics simulation, and more. From a single photo or a line of text, Echo builds worlds that are reliable, editable, and spatially faithful. Echo also enables scene editing and restyling. Change materials, remove or add objects, explore design variations — all while preserving global 3D consistency. Editing no longer breaks the world. This is only the beginning. Echo is the foundation for future world models with dynamics, physical reasoning, and richer interaction — environments that don’t just look right, but behave right. Explore the generated worlds on our website and sign up for the closed beta. The era of spatial intelligence starts here. 🌍 #Echo #WorldModels #SpatialAI #3DFoundationModels Check it out:

SpAItial AI

176,105 görüntüleme • 7 ay önce

2026 is the year of the splat! This is a single patch of moss - scanned top and bottom - turned into a fully modular 3D asset. Flip it one way and it’s lush moss. Flip it the other and it’s damp, detailed soil. Both sides are real. No fake backsides. No tiling tricks. Ultra-lightweight. Fully real-time. Clones cleanly across geometry. And here’s the key difference - splats don’t really care about intersections. Coplanar overlaps don’t break the asset, they add density and realism. To match this traditionally with 3D you’d need thousands of moss scatters or extremely dense geo - and it would still feel off. One splat patch scales into massive 3D plates with almost no resource cost. This is asset development going forward - modular, DCC-agnostic, and built for modern pipelines. Download the moss scan for free on Gumroad and give it some 3D love. Rendered with OTOY Octane 2026
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2026 is the year of the splat! This is a single patch of moss - scanned top and bottom - turned into a fully modular 3D asset. Flip it one way and it’s lush moss. Flip it the other and it’s damp, detailed soil. Both sides are real. No fake backsides. No tiling tricks. Ultra-lightweight. Fully real-time. Clones cleanly across geometry. And here’s the key difference - splats don’t really care about intersections. Coplanar overlaps don’t break the asset, they add density and realism. To match this traditionally with 3D you’d need thousands of moss scatters or extremely dense geo - and it would still feel off. One splat patch scales into massive 3D plates with almost no resource cost. This is asset development going forward - modular, DCC-agnostic, and built for modern pipelines. Download the moss scan for free on Gumroad and give it some 3D love. Rendered with OTOY Octane 2026

Spenser Dickerson

11,940 görüntüleme • 7 ay önce

In collaboration with Intel, our Depth Fusion showcases the power of our LDM3D diffusion model in generating 360° views from text prompts provided by the user. The LDM3D diffusion model generates a 2D RGB image and its corresponding relative depth map providing a complete RGBD representation corresponding to the text prompt. The LDM 3D model is a specialized version of the stable diffusion V 1.4 model that has been modified to fit both image and depth map data.The model was then fine tuned on a subset of the Laion400M data set - large scale image caption data set. The depth maps used to fine tune our model were generated by the DPTBeiT large 512 depth estimation model that provides highly accurate relative depth estimates for each pixel. We take the generated 2D RGB image and depth map and use them to compute a 360° projection using touchdesigner. Touchdesigner is a versatile platform that allows for the creation of immersive and interactive multimedia experiences. Our application harnesses the power of touchdesigner to bring the generated 360° views to life, providing users with a unique and engaging way to experience their text prompts, whether it’s a description of a tranquil forest, a noisy cityscape or a futuristic sci fi world. Our depth fusion can bring these concepts to life in a vivid and immersive detail. - Scottie Fox, VP Engineering Blockade Labs ScottieFox #AI #VR #3D #gamedev #stablediffusion
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In collaboration with Intel, our Depth Fusion showcases the power of our LDM3D diffusion model in generating 360° views from text prompts provided by the user. The LDM3D diffusion model generates a 2D RGB image and its corresponding relative depth map providing a complete RGBD representation corresponding to the text prompt. The LDM 3D model is a specialized version of the stable diffusion V 1.4 model that has been modified to fit both image and depth map data.The model was then fine tuned on a subset of the Laion400M data set - large scale image caption data set. The depth maps used to fine tune our model were generated by the DPTBeiT large 512 depth estimation model that provides highly accurate relative depth estimates for each pixel. We take the generated 2D RGB image and depth map and use them to compute a 360° projection using touchdesigner. Touchdesigner is a versatile platform that allows for the creation of immersive and interactive multimedia experiences. Our application harnesses the power of touchdesigner to bring the generated 360° views to life, providing users with a unique and engaging way to experience their text prompts, whether it’s a description of a tranquil forest, a noisy cityscape or a futuristic sci fi world. Our depth fusion can bring these concepts to life in a vivid and immersive detail. - Scottie Fox, VP Engineering Blockade Labs ScottieFox #AI #VR #3D #gamedev #stablediffusion

Blockade Labs

11,439 görüntüleme • 3 yıl önce

We’re excited to introduce the new A/T Pose generator for Image to 3D. We know everyone has their own rigging preference — so now, the choice is yours! Whether your pipeline is built for the classic T-Pose or you prefer the relaxed A-Pose, you can now select the exact format that fits your production line. It's all about giving you the flexibility to generate game-ready characters exactly how you need them. The feature is now integrated into Meshy 6 Preview. Try it out and take full control of your generations! 🚀
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We’re excited to introduce the new A/T Pose generator for Image to 3D. We know everyone has their own rigging preference — so now, the choice is yours! Whether your pipeline is built for the classic T-Pose or you prefer the relaxed A-Pose, you can now select the exact format that fits your production line. It's all about giving you the flexibility to generate game-ready characters exactly how you need them. The feature is now integrated into Meshy 6 Preview. Try it out and take full control of your generations! 🚀

MeshyAI

56,913 görüntüleme • 7 ay önce