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MICROSOFT DROPPED A 4B PARAMETER MODEL THAT TURNS ONE IMAGE INTO A 3D ASSET IN 3 SECONDS and it's open source TRELLIS.2 fully textured, physically accurate 3D models with PBR textures out of the box not a rough mesh..not a placeholder roughness, metallic, opacity the kind of detail that... show more

Vaishnavi

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355,536 görüntüleme • 5 ay önce •via X (Twitter)

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HangTyrantsHigh profil fotoğrafı

HangTyrantsHigh5 ay önce

The entire team is Chinese

Sean Shadmand profil fotoğrafı

Sean Shadmand5 ay önce

It is amazing how well it did, and just as amazing at how wrong some simple parts were.

Yishan profil fotoğrafı

Yishan5 ay önce

Yeah it works ok

Eri.ck profil fotoğrafı

Eri.ck5 ay önce

Hmmmmm look at the prerequisites... 😶

CRIME ☠️ profil fotoğrafı

CRIME ☠️5 ay önce

this is one of those few times when i don’t have to check the actual model to call bullshit on your shilling ass, because it’s far too obvious. shame on you.

Thomas Orre profil fotoğrafı

Thomas Orre5 ay önce

Women are going to use this to 3D print all the dick pics they get.

tang | AI Product Maker profil fotoğrafı

tang | AI Product Maker5 ay önce

the gap most people miss: 'fully textured 3D' from one image is viewer-grade, not engine-grade. great for product previews and AR mockups. drop one into Unity and you'll spend the saved time on retopology + UV unwrap + LODs anyway. tested 3 of these last month for a video pipeline — only 1 mesh was clean enough to skip cleanup.

Kohan 🏛🏛🏛 profil fotoğrafı

Kohan 🏛🏛🏛5 ay önce

just tried it...horrible model. Maybe take a bit longer than 3 seconds?

Matthew Rogers profil fotoğrafı

Matthew Rogers5 ay önce

4 months ago, these reposts are cancer.

Les coulisses du Kleioscope 🛠 profil fotoğrafı

Les coulisses du Kleioscope 🛠5 ay önce

huggingface demo: Error. After nothing, got the message: You reach you limit. Please upgrade to 9$ tier. As a good µ$oft tool it's a joke 😜

Randy Sharp profil fotoğrafı

Randy Sharp5 ay önce

Trellis2 has been out for a while. That is an impressive demo that you showed. Yes, it does what yuou described; but the geo that is generated is, currently, good in a limited fashion. As a professional 3D artist the resulting geo has a limited scope. Will this change? I am sure so, but right now - it is nice, but limited in scope and application.

Paulera profil fotoğrafı

Paulera5 ay önce

Like 5 months ago lol

🇺🇸 Josh 🇺🇸 profil fotoğrafı

🇺🇸 Josh 🇺🇸5 ay önce

bullshit you cant extrapolate interior shapes w exacting precision from a single photo

BullMoon profil fotoğrafı

BullMoon5 ay önce

Open source 3D from a single image in 3 seconds. The demo is impressive. Maintaining texture quality across different lighting conditions is where it gets real.

Kelly Lawson profil fotoğrafı

Kelly Lawson5 ay önce

Optimized topology or a million billion vertices?

Joe profil fotoğrafı

Joe5 ay önce

I've done some benchmarking and analysis on this model running locally on consumer hardware. It's also worth noting that this model has been out for some time.

David Rittinghaus profil fotoğrafı

David Rittinghaus5 ay önce

@TencentHunyuan THIS is how you do OPEN SOURCE ... open and everyone can actually use it ...

terminalnotes profil fotoğrafı

terminalnotes5 ay önce

Damn, microsoft finally taking a teny tiny step.

Tiged 🐯 profil fotoğrafı

Tiged 🐯5 ay önce

ok but what happens when artists start feeding it concept art directly

Pavan Singh Uikey profil fotoğrafı

Pavan Singh Uikey5 ay önce

Things are becoming cheaper

GetPaidX.com profil fotoğrafı

GetPaidX.com5 ay önce

nice does it work with Bambu A1 printer

GregoryG profil fotoğrafı

GregoryG5 ay önce

Yeah but it’s been out since dec 2025, right ? Or am I missing something ?

Alexandre de Vigan profil fotoğrafı

Alexandre de Vigan5 ay önce

Yes

Darkjayson profil fotoğrafı

Darkjayson5 ay önce

Here are some tips, use an image where the background is transparent and the subject is in the foreground. Have the subject completely in frame. Pick something that is easy or naturally 3D to start with.

Santhosh Shyamsundar profil fotoğrafı

Santhosh Shyamsundar5 ay önce

@grok can this do sdf and frep ?

Brandon Smith profil fotoğrafı

Brandon Smith5 ay önce

I wish @MaxonVFX could do this. Anytime I import a CAD, texture it, and then attempt to split it with Boole it more than likely will fail (and very possibly crash the software). Voronoi fracture is INCREDIBLY slow.

Ryan Dion profil fotoğrafı

Ryan Dion5 ay önce

Sweet, now, 3D print

plainscope profil fotoğrafı

plainscope5 ay önce

That 4B parameter model's open-source - that's a big deal. Could make 3D asset creation way more accessible.

Technophile profil fotoğrafı

Technophile5 ay önce

3d printing about to become much easier

Chavenay🍎🐡👹🐧🦋 profil fotoğrafı

Chavenay🍎🐡👹🐧🦋5 ay önce

@llmgram

Pranay Reddy | building with AI profil fotoğrafı

Pranay Reddy | building with AI5 ay önce

Microsoft was silent all these days and now cooking with launching free open source model for the users that are really efficient; Previously it was a 7B voice model and now with a 4B 3D asset model

DrunkenMonkey profil fotoğrafı

DrunkenMonkey5 ay önce

Problems with every single model as of April 27, 2026. Zero Clean code. Zero TDD compliance. Zero Observability. Zero Verification workflows. Nothing is built in. AI models cannot become productive until these guard rails are built in. Vibing with zero verifiable results...

aldykharisma profil fotoğrafı

aldykharisma5 ay önce

i'm having trouble understamding what this thing actually does or how a 4n parameter model works, can someone break dowb the math behind it for me?

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Microsoft open-sourced a 4B model that turns any image into a production-ready 3D asset in 3 seconds. It’s called TRELLIS.2, a fully textured, physically accurate 3D models with PBR textures out of the box. → Full PBR (base color, roughness, metallic, opacity) → Handles hair, cloth, glass, non-manifold geometry → Exports .glb ready for Unity/Unreal/Blender → Runs locally, ships in 3 seconds It's not a demo or a research preview. The full training codebase is public. You can fine-tune it on your own asset library and get a model that generates in your studio's exact style. 100% Open Source

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Superman

284,282 görüntüleme • 2 ay önce

MICROSOFT OPEN SOURCED A 7B PARAMETER MODEL THAT TRANSCRIBES 60 MINUTES OF AUDIO IN A SINGLE PASS and it's completely free VIBEVOICE ASR no chunking, no context loss, full speaker diarization baked in not just speech to text..not a basic wrapper who spoke, when they spoke, exactly what they said..all in one shot and it handles the hard stuff too..50+ languages, custom hotwords, long form audio that breaks every other tool the model doesn't know what "context window" means apparently Available on macOS and Windows right now. Free to use. Free to fine tune. Free to build on.

MICROSOFT OPEN SOURCED A 7B PARAMETER MODEL THAT TRANSCRIBES 60 MINUTES OF AUDIO IN A SINGLE PASS and it's completely free VIBEVOICE ASR no chunking, no context loss, full speaker diarization baked in not just speech to text..not a basic wrapper who spoke, when they spoke, exactly what they said..all in one shot and it handles the hard stuff too..50+ languages, custom hotwords, long form audio that breaks every other tool the model doesn't know what "context window" means apparently Available on macOS and Windows right now. Free to use. Free to fine tune. Free to build on.

Rahul

1,375,300 görüntüleme • 5 ay önce

GPT-6 Astra built a full 3D model of the human cell in 30 minutes. Biology didn't see this coming. Not a diagram. Not an illustration. A complete, detailed model built from scratch in a single session. The same tool that handles code, design, and 3D geometry is now walking into science.

GPT-6 Astra built a full 3D model of the human cell in 30 minutes. Biology didn't see this coming. Not a diagram. Not an illustration. A complete, detailed model built from scratch in a single session. The same tool that handles code, design, and 3D geometry is now walking into science.

Zentrix⌚️

52,097 görüntüleme • 20 gün önce

Someone just built a tool that turns any object image into a fully coded, animation-ready 3d model in your browser. just drop a photo and it sculpts the object in pure Three.js code, animation-ready with pivots, physics anchors, and PBR materials. 100% free.

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Chubby♨️

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WOW. 😳 Apple just quietly won the 3D maps war at WWDC. Gaussian Splatting is coming to Apple Maps Flyover this fall. Apple Maps Flyover covers 300+ cities. Until yesterday, every single one was built on standard drone photogrammetry. The technology captures photos from the air and reconstructs 3D geometry from them. Gaussian Splatting does not reconstruct geometry. It represents the scene as millions of tiny 3D ellipsoids, each one carrying its own color and opacity information based on how light actually behaves in that location. The output is not a mesh model. It is a field of light. When you move through it, it does not crumble at the edges. The detail holds because it was never geometry to begin with. Apple has been hiring for this for years. Their SHARP model, published in research last year, generates photorealistic 3D scenes from a single image in under a second. Google has more sensor data than anyone. More Street View cars, more satellites, more capture history. On navigation accuracy and geodata depth, Google Maps is still ahead by most measures. But fidelity in 3D city rendering is a different competition, and Apple just set a bar in that. Most people will experience this in the fall without knowing the name of the technology. They will open Flyover, look at a city they know, and notice it looks different. Real, not rendered. That is the moment Gaussian Splatting stops being a research term and becomes something a billion people use. Bookmark this. It will look prescient by October.

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InstantSplat++ is now open source. It is a lightweight library that connects foundation models (VGGT, MASt3R, MAP-Anything, etc.) with the Gaussian splatting family. Given uncalibrated images, it optimizes a 3D scene in a few seconds. Try the demo and code here:

Zhiwen(Aaron) Fan

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img2threejs 1.5.1 is out 🚀 Checkout: This release introduces a new approach to image → 3D → Three.js. Image → Tripo → img2threejs → reconstructed geometry → Three.js Instead of using the generated 3D model as the final asset, img2threejs uses it as a reference to rebuild the character into a representation that can be generated and rendered directly in Three.js. No Blender workflow, and no GLB required as the final output. The animation in the demo is still a bit rough because this release is focused on reconstruction, not animation. I’ll be improving that in the next release. Still experimental, but this is a big step toward where I want img2threejs to go.

img2threejs 1.5.1 is out 🚀 Checkout: This release introduces a new approach to image → 3D → Three.js. Image → Tripo → img2threejs → reconstructed geometry → Three.js Instead of using the generated 3D model as the final asset, img2threejs uses it as a reference to rebuild the character into a representation that can be generated and rendered directly in Three.js. No Blender workflow, and no GLB required as the final output. The animation in the demo is still a bit rough because this release is focused on reconstruction, not animation. I’ll be improving that in the next release. Still experimental, but this is a big step toward where I want img2threejs to go.

Nick

117,760 görüntüleme • 1 ay önce

I plugged ChatGPT Luna 5.6 and Claude Opus 5 into Blender through MCP, and one of them is one-shotting entire 3D scenes now. Top is Luna 5.6 in fast mode modeling ship cannons with a firing animation. Watching the scene grow mesh by mesh in real time is a separate kind of dopamine. Bottom is Opus 5 building a full carriage scene with terrain, rocks and lighting. This one is simply built for 3D -- the whole thing from a single prompt with zero retries and zero corrections. The entire bridge is one open-source repo, no Python and no modeling skills required: > The repo is with 16.9k stars under MIT license. > It works with any model -- Claude, GPT, Cursor, any MCP client. > The model sees your scene through a live socket and edits it in real time. A year ago this workflow didn't exist, and now the gap between an idea and a rendered 3D scene is one prompt. Save this one -- you will come back for the repo ↓

I plugged ChatGPT Luna 5.6 and Claude Opus 5 into Blender through MCP, and one of them is one-shotting entire 3D scenes now. Top is Luna 5.6 in fast mode modeling ship cannons with a firing animation. Watching the scene grow mesh by mesh in real time is a separate kind of dopamine. Bottom is Opus 5 building a full carriage scene with terrain, rocks and lighting. This one is simply built for 3D -- the whole thing from a single prompt with zero retries and zero corrections. The entire bridge is one open-source repo, no Python and no modeling skills required: > The repo is with 16.9k stars under MIT license. > It works with any model -- Claude, GPT, Cursor, any MCP client. > The model sees your scene through a live socket and edits it in real time. A year ago this workflow didn't exist, and now the gap between an idea and a rendered 3D scene is one prompt. Save this one -- you will come back for the repo ↓

slash1s

150,102 görüntüleme • 2 ay önce

2D is what the camera sees.👀 3D is what the world is. 🌍 Today, we’re proudly open-sourcing QuerySplat — an open-source feed-forward 3D model that turns a few unposed images into a navigable 3D scene in seconds (run on 4090🪶). Your input: a few unposed images Our output: a sharp, navigable 3D scene — generated in seconds! 🚀 🧠 organize scenes with 3D queries, not pixel-bound Gaussians 📷 no camera poses or manual calibration required ⚡ reconstruct new scenes in a single forward pass ✨ preserve sharp geometry and high-frequency appearance 🏆 achieve state-of-the-art results on DL3DV-Evaluation 🔓 code and model weights are now open-source From pixels to scenes, we are making 3D generation scalable. Try our free iOS app — it’s a lot of fun! 😆 🔗 Try it on the Web: 🔗 Paper: 🔗 Code & weights: 🔗 Project page: 🔗 #AIGC #3DGS #AI #Computervision #3D #artist #3dartist #3d

2D is what the camera sees.👀 3D is what the world is. 🌍 Today, we’re proudly open-sourcing QuerySplat — an open-source feed-forward 3D model that turns a few unposed images into a navigable 3D scene in seconds (run on 4090🪶). Your input: a few unposed images Our output: a sharp, navigable 3D scene — generated in seconds! 🚀 🧠 organize scenes with 3D queries, not pixel-bound Gaussians 📷 no camera poses or manual calibration required ⚡ reconstruct new scenes in a single forward pass ✨ preserve sharp geometry and high-frequency appearance 🏆 achieve state-of-the-art results on DL3DV-Evaluation 🔓 code and model weights are now open-source From pixels to scenes, we are making 3D generation scalable. Try our free iOS app — it’s a lot of fun! 😆 🔗 Try it on the Web: 🔗 Paper: 🔗 Code & weights: 🔗 Project page: 🔗 #AIGC #3DGS #AI #Computervision #3D #artist #3dartist #3d

InSpatio｜影溯

29,806 görüntüleme • 1 ay önce

Just how capable are open source models? Below is the first in a new series where we go behind the scenes and pull back the curtain on interesting AI research / demos, making them fun and easy to understand. Here, we have a short visual demonstration from aizk ✡️ showcasing how Kimi K3 (a language model that operates primarily through text) is capable of building complicated 3D structures / moments in history in Minecraft, something that previously was not possible with other open source models, and why this matters. The crazy part? The model doesn't "see" the game like we do. The LLMs must reason in pure text, writing JavaScript, that later compiles down into commands placing each block, one at a time. Spatial reasoning is a very hard problem in AI, it's the same core challenge behind robotics and self-driving cars, where a model has to understand and act in physical 3D space. Watching a text model pull it off is nothing short of a miracle. The point isn't just Minecraft itself, rather, it's AI being able to generalize, not memorize, on things that are weird and beyond their training data. This is key to building true artificial general intelligence. These video game benchmarks (there are many different games actively being researched right now) provide a clear-cut end goal, challenges that are almost certainly not in the training set, and a fun, very fast, visual way to almost feel the increasing capabilities of various open source AI models over time. If you haven't given open source models a serious try yet, watch the video, it may shock you!

Just how capable are open source models? Below is the first in a new series where we go behind the scenes and pull back the curtain on interesting AI research / demos, making them fun and easy to understand. Here, we have a short visual demonstration from aizk ✡️ showcasing how Kimi K3 (a language model that operates primarily through text) is capable of building complicated 3D structures / moments in history in Minecraft, something that previously was not possible with other open source models, and why this matters. The crazy part? The model doesn't "see" the game like we do. The LLMs must reason in pure text, writing JavaScript, that later compiles down into commands placing each block, one at a time. Spatial reasoning is a very hard problem in AI, it's the same core challenge behind robotics and self-driving cars, where a model has to understand and act in physical 3D space. Watching a text model pull it off is nothing short of a miracle. The point isn't just Minecraft itself, rather, it's AI being able to generalize, not memorize, on things that are weird and beyond their training data. This is key to building true artificial general intelligence. These video game benchmarks (there are many different games actively being researched right now) provide a clear-cut end goal, challenges that are almost certainly not in the training set, and a fun, very fast, visual way to almost feel the increasing capabilities of various open source AI models over time. If you haven't given open source models a serious try yet, watch the video, it may shock you!

Featherless AI

39,769 görüntüleme • 1 ay önce

Announcing the Open Model Series: a new series on open source AI models, with merve of Hugging Face. Hugging Face is the open model hub: it hosts model weights, datasets, evals, & demo apps, and maintains the open-source libraries (like transformers) used to run and train them. I think of it like GitHub, but for AI models. You can download open models and run them on your own machines. In this series we'll cover what open source and open weight models are, how they work, how to run them yourself, and why they're important. By the way - this video is edited entirely with Claude! I can make a tutorial on how I did it. If there's a question you want answered about open models, leave it in the comments. We will read them all. Episode 1 is out soon.

Announcing the Open Model Series: a new series on open source AI models, with merve of Hugging Face. Hugging Face is the open model hub: it hosts model weights, datasets, evals, & demo apps, and maintains the open-source libraries (like transformers) used to run and train them. I think of it like GitHub, but for AI models. You can download open models and run them on your own machines. In this series we'll cover what open source and open weight models are, how they work, how to run them yourself, and why they're important. By the way - this video is edited entirely with Claude! I can make a tutorial on how I did it. If there's a question you want answered about open models, leave it in the comments. We will read them all. Episode 1 is out soon.

Harper Carroll

30,392 görüntüleme • 1 ay önce

🔥 img2threejs × GPT-6 Astra × Hyper3D Live showcase: This is probably one of the most commercially valuable workflows I’ve tested so far. Image → Hyper3D → img2threejs → GPT-6 Astra → Interactive Three.js experience. 1/ Hyper3D handles the 3D reconstruction. 2/ img2threejs turns that result into a structured workflow that an AI coding model can actually work with. 3/ And GPT-6 Astra follows the img2threejs pipeline - turning the reconstructed asset into a structured, editable, and interactive Three.js experience with animation, VFX, lighting, and application logic. The important part isn’t just generating a 3D model, It’s what happens after the model exists. Instead of ending with a static asset, you can continue building around it with code: → Games → Interactive product experiences → 3D websites → Character showcases → Virtual worlds → Rapid prototypes 3D generation becomes the beginning of the workflow - not the final output. And when you combine high-quality reconstruction with an AI model capable of understanding and building the surrounding experience, the path from image → 3D → usable product becomes dramatically shorter. This is exactly the direction I want to push img2threejs. More experiments with OpenAI GPT-6 Astra × Hyper3D by Deemos are coming this month. 👨‍🍳

🔥 img2threejs × GPT-6 Astra × Hyper3D Live showcase: This is probably one of the most commercially valuable workflows I’ve tested so far. Image → Hyper3D → img2threejs → GPT-6 Astra → Interactive Three.js experience. 1/ Hyper3D handles the 3D reconstruction. 2/ img2threejs turns that result into a structured workflow that an AI coding model can actually work with. 3/ And GPT-6 Astra follows the img2threejs pipeline - turning the reconstructed asset into a structured, editable, and interactive Three.js experience with animation, VFX, lighting, and application logic. The important part isn’t just generating a 3D model, It’s what happens after the model exists. Instead of ending with a static asset, you can continue building around it with code: → Games → Interactive product experiences → 3D websites → Character showcases → Virtual worlds → Rapid prototypes 3D generation becomes the beginning of the workflow - not the final output. And when you combine high-quality reconstruction with an AI model capable of understanding and building the surrounding experience, the path from image → 3D → usable product becomes dramatically shorter. This is exactly the direction I want to push img2threejs. More experiments with OpenAI GPT-6 Astra × Hyper3D by Deemos are coming this month. 👨‍🍳

Nick

12,239 görüntüleme • 21 gün önce