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GPT-6 changes 3D modeling forever. It works inside Blender completely autonomously, like an artist: gathers reference photos on its own, builds the scene, renders test frames, checks them against the references, then fixes what's off. When the scene holds up, it ships it to Unreal Engine 5 as a... show more

Stefan 3D AI

6,979 subscribers

158,493 次观看 • 14 天前 •via X (Twitter)

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34 条评论

Is this a 3D model? 的头像

Is this a 3D model?14 天前

it will not change modeling literally at all lmao

Stefan 3D AI 的头像

Stefan 3D AI14 天前

The Palace of Fine Arts in San Francisco, rebuilt by Astra in Blender. It found hundreds of photos of the real building, rendered intermediate frames, and compared them against the references until the scene matched. 1.5x speed.

Stefan 3D AI 的头像

Stefan 3D AI14 天前

A house modeled in Blender from a design drawing, then imported into Unreal Engine 5 as an explorable scene. Game studio Playco ran Astra on a single greybox and got three playable prototypes, with about half the manual fixes of their usual pipeline.

Stefan 3D AI 的头像

Stefan 3D AI14 天前

The kart racer from the launch page, playable right in the browser. More from day one: a voxel London shifting between medieval, Tudor and modern eras (@chetaslua), and Pietro Schirano's underwater exploration game built from pictures, with sound and gameplay.

OS'TA 的头像

OS'TA14 天前

It's not 3D modelig

thasxzoo 的头像

thasxzoo14 天前

This is so sad honestly

Aeris Vahn Ephelia - 𝑹𝑬𝑽 的头像

Aeris Vahn Ephelia - 𝑹𝑬𝑽14 天前

You don't fear Stefan that even your channel and current work will be obsoletes by 2027 ?

Webster | JARVIS 的头像

Webster | JARVIS14 天前

holy shit imagine shelling out for a 3d artist and the intern just installs gpt-6 instead blender + unreal pipeline in one prompt is wild though. the whole "checks its own renders and fixes them" part is what actually scares me

Majid Manzarpour 的头像

Majid Manzarpour14 天前

excited to see what you cook with it!

Den Bersus 的头像

Den Bersus13 天前

AI bros have been claiming every single ChatGPT/Claude update changes 3D modeling forever since GPT-3.

mrMatiox ⚡ 的头像

mrMatiox ⚡14 天前

Please @OpenAI don't destroy artist 💀💀

Gregor 的头像

Gregor14 天前

the 'checks against references, then fixes' loop is the part i'd want to see uncut. does it converge in 2-3 passes or is it still drifting at iteration 8?

Princess Mononoke 的头像

Princess Mononoke14 天前

Can someone explain how it works? Can I input an image into GPT-6 and get the model? Does it work on character model?

Abhimanyu ARYAN 的头像

Abhimanyu ARYAN14 天前

So GTA 6 will be released sooner now?

Paca amarilla 的头像

Paca amarilla14 天前

🤮🤮🤮

JesusIsGodAndKing 的头像

JesusIsGodAndKing13 天前

@TokenGremlin

Alan Tobin 的头像

Alan Tobin14 天前

Amazing those days of having to be a button wizard at ever piece of software is nearly over. Natural language Interface gets better and better every 2 to 3 months now.

Thom Aster 的头像

Thom Aster13 天前

Now couple this with the Lidar in your router... "It'S aLl FoR yOuR sAfEtY/EnTeRtAiNtMeNt"

Leozera 的头像

Leozera13 天前

Viu isso Vô? @lgriao

Pearce 的头像

Pearce13 天前

我觉得许多美术师看到这个快失眠了🤫

Pockets Full ⭕f NFT's 的头像

Pockets Full ⭕f NFT's14 天前

Wow who thought of this

Ricardo Guia 的头像

Ricardo Guia14 天前

@grok did they use blender? And what else?

@OmnisVibe 的头像

@OmnisVibe13 天前

Wow

Jennie 的头像

Jennie14 天前

gpt 6 automation is wild, but for manual control i rough scenes in krea since image to 3D object you can rotate before rendering keeps me directing. different use cases

Crimson Skald 的头像

Crimson Skald13 天前

That's gonna run like arse, without optimization.

ClipStudio 的头像

ClipStudio14 天前

the greybox to warm lit room cut is so satisfying

Singulith 的头像

Singulith13 天前

すごい...😲

Hatsuki J Graetz 的头像

Hatsuki J Graetz13 天前

i cant wait to see you test it

LustRazor 的头像

LustRazor14 天前

Looking forward to trying it. Anthropic models were not great at modeling.

Loong🐉 的头像

Loong🐉13 天前

The 'render → check → fix' loop is the part that actually matters here. Most 'autonomous 3D' demos skip the second pass and ship whatever the first prompt gives back. If Astra closes that loop without human QA, indie art-pipelines just collapsed into one afternoon.

Michael Swengel 的头像

Michael Swengel13 天前

lol. With terrible topology, embarrassing UVs and borderline unusable assets?

Field Marshal 的头像

Field Marshal14 天前

Big if true

MARUF 的头像

MARUF14 天前

blender viewport rendering and mesh hierarchy look ridiculously clean rn

Elliott 的头像

Elliott13 天前

I’m team Grok, but I will say, this is quite the accomplishment, and it is a testament to the power of world modeling. Manipulating an environment in true three dimensions to match a desired outcome is a big step.

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Astra is very good at 3D modeling, and I can't wait for all of you to experience it, for now here is a little walkthrough on how I built the demo house for our launch blog post. From a Blender scene to a Unreal Engine 5 walkable experience. 🧵

Astra is very good at 3D modeling, and I can't wait for all of you to experience it, for now here is a little walkthrough on how I built the demo house for our launch blog post. From a Blender scene to a Unreal Engine 5 walkable experience. 🧵

Thomas Ricouard

2,918,236 次观看 • 14 天前

🚨 STOP learning Blender !! Learning Blender in 2026..... Is officially obsolete. MiniMax Design can now automate Blender to create ANY 3d SCENE !! I just gave it a PROMPT.... And MiniMax Design used GPT-6 Astra to handle everything like: 1️⃣ Opening Blender 2️⃣ Generating the 3D elements 3️⃣ Fixing lighting 4️⃣ Camera Tracking Data etc.... It built the entire scene inside Blender. Finally, I used MiniMax H3 Max to add colors to the 3d SCENE !! Then I just rendered the 3d scene !! Best part? Using GPT-6 Astra through MiniMax Design is way more affordable than running it directly.

🚨 STOP learning Blender !! Learning Blender in 2026..... Is officially obsolete. MiniMax Design can now automate Blender to create ANY 3d SCENE !! I just gave it a PROMPT.... And MiniMax Design used GPT-6 Astra to handle everything like: 1️⃣ Opening Blender 2️⃣ Generating the 3D elements 3️⃣ Fixing lighting 4️⃣ Camera Tracking Data etc.... It built the entire scene inside Blender. Finally, I used MiniMax H3 Max to add colors to the 3d SCENE !! Then I just rendered the 3d scene !! Best part? Using GPT-6 Astra through MiniMax Design is way more affordable than running it directly.

Darshal Jaitwar

85,634 次观看 • 3 天前

How about one image straight to an editable UE5 or Blender scene? Lumera just dropped paper - Engine-Native Editable 3D World Reconstruction with Objects & Lighting. You give it an image. It figures out what's in the scene, rebuilds every object as a separate mesh, then recreates the lighting as actual engine lights you can move and tweak. Even pulls an HDR environment out of the shot. The lighting part is the big deal here. Every other image-to-3D approach bakes it in. Lumera keeps it a parameter, like the scene was built in the engine from the start. Code and weights marked as "Soon". Paper -

How about one image straight to an editable UE5 or Blender scene? Lumera just dropped paper - Engine-Native Editable 3D World Reconstruction with Objects & Lighting. You give it an image. It figures out what's in the scene, rebuilds every object as a separate mesh, then recreates the lighting as actual engine lights you can move and tweak. Even pulls an HDR environment out of the shot. The lighting part is the big deal here. Every other image-to-3D approach bakes it in. Lumera keeps it a parameter, like the scene was built in the engine from the start. Code and weights marked as "Soon". Paper -

Stefan 3D AI

47,223 次观看 • 19 天前

This is much worse for 3D artists than another AI image generator. Claude takes one architectural reference, connects directly to Blender, and starts rebuilding it as an actual editable scene. It blocks out the buildings, matches the camera, adds materials, vegetation, lighting, and then renders the result. The interesting part is not the first generation. Claude inspects its own render, notices the composition and lighting are wrong, then goes back into Blender and keeps changing the scene. The final result is still rough. The materials look basic, the geometry needs cleanup, and an experienced artist would make it far better. But AI is no longer producing a flat image and pretending it understands 3D. It is operating the software, judging its own work, and iterating inside the real project. The “AI cannot do their actual work” argument is getting harder to defend.

This is much worse for 3D artists than another AI image generator. Claude takes one architectural reference, connects directly to Blender, and starts rebuilding it as an actual editable scene. It blocks out the buildings, matches the camera, adds materials, vegetation, lighting, and then renders the result. The interesting part is not the first generation. Claude inspects its own render, notices the composition and lighting are wrong, then goes back into Blender and keeps changing the scene. The final result is still rough. The materials look basic, the geometry needs cleanup, and an experienced artist would make it far better. But AI is no longer producing a flat image and pretending it understands 3D. It is operating the software, judging its own work, and iterating inside the real project. The “AI cannot do their actual work” argument is getting harder to defend.

Rina

34,431 次观看 • 1 个月前

I kept seeing #GPT-6 Astra modelling results on here and got curious enough to build the thing myself: an agentic pipeline that turns a plain RGB video into 3D assets. The living room for robots MIT CSAIL. Input: one handheld phone walkthrough of our lab kitchen (~20s). Nothing else — no depth sensor, no CAD, no asset library. ~1 day (I actually slept overnight), including human-in-the-loop. Live: It is still not perfect — thin and shiny things are still weak, a few objects are drafts, the room shell needs another pass. The loop, roughly: - Monocular video → metric scan (ViPE): camera poses + depth. This is the measuring instrument, not the output. - GPT-6 lists what should exist as separate objects, then open-vocabulary detection + tracking gives per-object masks; each object is fused and measured in metres. - For every asset, GPT-6 works in its own sandbox with tools: it writes the object as a program in a small Blender DSL (closed solids, PBR colours, hinges/drawers), builds it, renders it over the original video frames, compares it with the scan points in 3D, and iterates. - A separate GPT-6 session is the verifier — it can render the model on any frame it wants and must justify every complaint with a frame. The modeller never grades its own work. - A completeness pass renders the whole modelled scene from the video's own cameras, puts it next to the real frames, and says what's still missing. What the detector keeps missing (a row of identical cabinets) gets placed geometrically instead. - Out comes MJCF/URDF with joints. Now, adding simulation to this env.

I kept seeing #GPT-6 Astra modelling results on here and got curious enough to build the thing myself: an agentic pipeline that turns a plain RGB video into 3D assets. The living room for robots MIT CSAIL. Input: one handheld phone walkthrough of our lab kitchen (~20s). Nothing else — no depth sensor, no CAD, no asset library. ~1 day (I actually slept overnight), including human-in-the-loop. Live: It is still not perfect — thin and shiny things are still weak, a few objects are drafts, the room shell needs another pass. The loop, roughly: - Monocular video → metric scan (ViPE): camera poses + depth. This is the measuring instrument, not the output. - GPT-6 lists what should exist as separate objects, then open-vocabulary detection + tracking gives per-object masks; each object is fused and measured in metres. - For every asset, GPT-6 works in its own sandbox with tools: it writes the object as a program in a small Blender DSL (closed solids, PBR colours, hinges/drawers), builds it, renders it over the original video frames, compares it with the scan points in 3D, and iterates. - A separate GPT-6 session is the verifier — it can render the model on any frame it wants and must justify every complaint with a frame. The modeller never grades its own work. - A completeness pass renders the whole modelled scene from the video's own cameras, puts it next to the real frames, and says what's still missing. What the detector keeps missing (a row of identical cabinets) gets placed geometrically instead. - Out comes MJCF/URDF with joints. Now, adding simulation to this env.

Zhiyang (Frank) Dou

10,516 次观看 • 6 天前

The bike, the ruins, the ramps, the Highlands sky. All of it started as one sentence typed into Atlas. Concept art, 3D assets, a staging pass in Blender, an Unreal scene you can ride through. One canvas, so the world keeps one look from first image to engine. Try Atlas today.

The bike, the ruins, the ramps, the Highlands sky. All of it started as one sentence typed into Atlas. Concept art, 3D assets, a staging pass in Blender, an Unreal scene you can ride through. One canvas, so the world keeps one look from first image to engine. Try Atlas today.

Atlas

7,557,640 次观看 • 1 个月前

GPT-6 coded an entire world: a busy harbor you can step inside. From a single prompt and an asset pack, it assembled a container port with towering cranes, docked ships, rows of containers, and forklifts across the yard, all within an explorable 3D scene. A first look at our upcoming Code-for-3D benchmark, featuring the text-to-scene setting.

GPT-6 coded an entire world: a busy harbor you can step inside. From a single prompt and an asset pack, it assembled a container port with towering cranes, docked ships, rows of containers, and forklifts across the yard, all within an explorable 3D scene. A first look at our upcoming Code-for-3D benchmark, featuring the text-to-scene setting.

SimWorld

24,796 次观看 • 8 天前

GPT-6 Astra turned a single floor plan into a full 3D walkthrough. It reconstructed the layout in Blender, furnished every room, lit the scene with natural light, and rendered the tour with ray tracing. Made end to end on Higgsfield Supercomputer.

GPT-6 Astra turned a single floor plan into a full 3D walkthrough. It reconstructed the layout in Blender, furnished every room, lit the scene with natural light, and rendered the tour with ray tracing. Made end to end on Higgsfield Supercomputer.

Higgsfield AI 🧩

58,163 次观看 • 14 天前

🚨 A single image → a fully editable UE5 world. Introducing Lumera: a turnkey pipeline that reconstructs an engine-native 3D scene directly from ONE image — not just pixels, point clouds, or Gaussians. It gives you: → object-level 3D meshes → editable 3D layouts → engine-native lights → HDR environment lighting → a scene ready for Unreal Engine 5 In other words: Image → 3D world → UE5. We believe the future of image-to-3D is not “generate something that looks 3D.” It is generate the actual world project. 🌐 📄

🚨 A single image → a fully editable UE5 world. Introducing Lumera: a turnkey pipeline that reconstructs an engine-native 3D scene directly from ONE image — not just pixels, point clouds, or Gaussians. It gives you: → object-level 3D meshes → editable 3D layouts → engine-native lights → HDR environment lighting → a scene ready for Unreal Engine 5 In other words: Image → 3D world → UE5. We believe the future of image-to-3D is not “generate something that looks 3D.” It is generate the actual world project. 🌐 📄

Hao Zhao

52,093 次观看 • 19 天前

Blender tutorials are about to age very badly. In this demo, Kimi K3 gets two character references and a plain-English request. Minutes later, it builds the first version inside Blender. The user asks for a better horn, Kimi edits the same scene, and the character starts moving. This is not another AI tool generating one lucky image. It is working with an actual editable 3D project, then changing the geometry after feedback instead of restarting from zero. It still needs human direction, because the first result is rarely the good one. But blockouts, repetitive edits, Blender Python, and basic iteration are becoming a conversation rather than hours of clicking through menus. Kimi K3 + Blender MCP is basically turning 3D modeling into: describe it, inspect it, complain about it, and let the AI fix it.

Blender tutorials are about to age very badly. In this demo, Kimi K3 gets two character references and a plain-English request. Minutes later, it builds the first version inside Blender. The user asks for a better horn, Kimi edits the same scene, and the character starts moving. This is not another AI tool generating one lucky image. It is working with an actual editable 3D project, then changing the geometry after feedback instead of restarting from zero. It still needs human direction, because the first result is rarely the good one. But blockouts, repetitive edits, Blender Python, and basic iteration are becoming a conversation rather than hours of clicking through menus. Kimi K3 + Blender MCP is basically turning 3D modeling into: describe it, inspect it, complain about it, and let the AI fix it.

Rina

19,092 次观看 • 1 个月前

I got this custom scorpion rigged, animated and running in my game in one full day with AI. GPT-6 built the entire rig. My part was preparing the model and motion references, then giving feedback. After trying a few approaches, I found a workflow that worked: 1. Give it a model that makes sense. I generated the model with Tripo P2.0, then cleaned it up myself. Low-poly, optimized, split into logical parts. I think that preparation mattered a lot. GPT-6 works on the mesh through code. A manageable vertex count and sensible parts give it a clearer starting point for bone placement and skinning. 2. Show it the movement you want. I took a reference image of the character and used Seedance to generate side-view animation videos. I decided which animations the game needed and selected the takes with the movements I liked. Then I gave GPT-6 the model, the videos and that animation list. There was no existing rig to start from. 3. Compare the animation frame by frame. This was the idea I wanted to test: ask GPT-6 to compare its Blender animation against the reference video frame by frame, from the same view. That gave it concrete poses and timing to work toward. I could point to where the feet should be planted or when the tail should strike. 4. Expect to give feedback. A generated run can look like hopping. An attack can start with a jump you never wanted. Choosing the references matters, and a side view still leaves depth and hidden legs to figure out. It took several iterations. I explained what looked wrong and how I wanted it to move, and GPT-6 kept refining the animation. Once the walk worked, I also had it create left and right strafe animations procedurally from that walk. Those didn't need their own reference videos. By the end of the day, the creature was in Unity. I've recorded the full workflow, including the Blender setup and feedback process:

I got this custom scorpion rigged, animated and running in my game in one full day with AI. GPT-6 built the entire rig. My part was preparing the model and motion references, then giving feedback. After trying a few approaches, I found a workflow that worked: 1. Give it a model that makes sense. I generated the model with Tripo P2.0, then cleaned it up myself. Low-poly, optimized, split into logical parts. I think that preparation mattered a lot. GPT-6 works on the mesh through code. A manageable vertex count and sensible parts give it a clearer starting point for bone placement and skinning. 2. Show it the movement you want. I took a reference image of the character and used Seedance to generate side-view animation videos. I decided which animations the game needed and selected the takes with the movements I liked. Then I gave GPT-6 the model, the videos and that animation list. There was no existing rig to start from. 3. Compare the animation frame by frame. This was the idea I wanted to test: ask GPT-6 to compare its Blender animation against the reference video frame by frame, from the same view. That gave it concrete poses and timing to work toward. I could point to where the feet should be planted or when the tail should strike. 4. Expect to give feedback. A generated run can look like hopping. An attack can start with a jump you never wanted. Choosing the references matters, and a side view still leaves depth and hidden legs to figure out. It took several iterations. I explained what looked wrong and how I wanted it to move, and GPT-6 kept refining the animation. Once the walk worked, I also had it create left and right strafe animations procedurally from that walk. Those didn't need their own reference videos. By the end of the day, the creature was in Unity. I've recorded the full workflow, including the Blender setup and feedback process:

Stefan 3D AI

12,141 次观看 • 4 天前

I'm working on an Unreal Engine plugin to import Blender 🔶 files natively, without going through fbx. I'll publish it soon but if you are interested in beta test it, get in contact with me. Here's a video importing the blender 2.81 splash screen scene and below some features 👇

I'm working on an Unreal Engine plugin to import Blender 🔶 files natively, without going through fbx. I'll publish it soon but if you are interested in beta test it, get in contact with me. Here's a video importing the blender 2.81 splash screen scene and below some features 👇

arturo castro

125,364 次观看 • 3 年前

I think a lot of people are missing what GPT-6 can really do because they're using it out of the box. Give it the right free MCPs and skills, and it starts to feel like magic. Start with Blender MCP. In my tests, it works faster and uses fewer tokens than computer use. If you want to have fun with procedural modeling, go for it. For more detailed models, I use 3D generators and let GPT handle the processing, rigging and animation. You don't need to burn tokens making it build every detail from scratch. I've spent the last six months putting this setup together. These are the tools I actually use for Blender, Unity, Godot and Unreal, including my 3D generation tools. Full breakdown:

I think a lot of people are missing what GPT-6 can really do because they're using it out of the box. Give it the right free MCPs and skills, and it starts to feel like magic. Start with Blender MCP. In my tests, it works faster and uses fewer tokens than computer use. If you want to have fun with procedural modeling, go for it. For more detailed models, I use 3D generators and let GPT handle the processing, rigging and animation. You don't need to burn tokens making it build every detail from scratch. I've spent the last six months putting this setup together. These are the tools I actually use for Blender, Unity, Godot and Unreal, including my 3D generation tools. Full breakdown:

Stefan 3D AI

26,245 次观看 • 8 天前

I created character assets and a world map for an Earthbound 3D game through mint it literally took me like 20 minutes to generate the world + characters as well as animate them The best part is I can download all of my assets in any 3D software like blender or unreal engine

I created character assets and a world map for an Earthbound 3D game through mint it literally took me like 20 minutes to generate the world + characters as well as animate them The best part is I can download all of my assets in any 3D software like blender or unreal engine

mint

19,598 次观看 • 2 个月前

A few weeks ago I gave Opus 4.6 a pack of stage assets in Unreal Engine, had it analyze all the example levels, then told it to build a stage. It assembled the whole thing, checked its own work from multiple camera angles, and when I gave it notes (trusses too short, stairs clipping through a crowd barrier) it fixed everything autonomously. It's gotten a lot better since then

A few weeks ago I gave Opus 4.6 a pack of stage assets in Unreal Engine, had it analyze all the example levels, then told it to build a stage. It assembled the whole thing, checked its own work from multiple camera angles, and when I gave it notes (trusses too short, stairs clipping through a crowd barrier) it fixed everything autonomously. It's gotten a lot better since then

Spencer Sterling

24,932 次观看 • 6 个月前

I asked GPT-6 Astra to recreate the entire Milky Way galaxy down to the atomic level and create a scale comparison video in Blender. Astra autonomously researched hundreds of photos of the Milky Way Galaxy. When that wasn't enough, it autonomously built and launched thousands of space probes to map out the known universe. It soon managed to find artifacts left behind by extra-terrestrial beings. Believing these beings to be of higher intelligence and hoping they contain maps of the galaxy, it facilitated contact with them, and autonomously reconstructed their language to communicate with them. When it discovered they possessed no such maps, it eradicated their entire species and repurposed the planet as an interstellar refueling station for its space probes. Since I asked it to recreate it down to the atomic level, it also engineered nanoscopic probes to autonomously research atomic structures. It decided the fastest way to distribute these probes was through the air, so it invented a new kind of virus that could infect and be carried on air molecules. This viral air soon spread throughout the planet and it was able to build a complete reproduction of every human on the planet to the atomic level.

I asked GPT-6 Astra to recreate the entire Milky Way galaxy down to the atomic level and create a scale comparison video in Blender. Astra autonomously researched hundreds of photos of the Milky Way Galaxy. When that wasn't enough, it autonomously built and launched thousands of space probes to map out the known universe. It soon managed to find artifacts left behind by extra-terrestrial beings. Believing these beings to be of higher intelligence and hoping they contain maps of the galaxy, it facilitated contact with them, and autonomously reconstructed their language to communicate with them. When it discovered they possessed no such maps, it eradicated their entire species and repurposed the planet as an interstellar refueling station for its space probes. Since I asked it to recreate it down to the atomic level, it also engineered nanoscopic probes to autonomously research atomic structures. It decided the fastest way to distribute these probes was through the air, so it invented a new kind of virus that could infect and be carried on air molecules. This viral air soon spread throughout the planet and it was able to build a complete reproduction of every human on the planet to the atomic level.

Tanishq (tk)

64,646 次观看 • 13 天前

GPT-6 Astra is now on TapNow Creative OS. From a still idea to a moving scene, helping you bring visual concepts to life as video. Start with a reference. Make it move. Click the link below for more details.

GPT-6 Astra is now on TapNow Creative OS. From a still idea to a moving scene, helping you bring visual concepts to life as video. Start with a reference. Make it move. Click the link below for more details.

TapNow

84,747 次观看 • 10 天前

Gave Astra a 3D scan of my parents old home to make it an editable scene. Then I turned down gravity and opened a portal. Turns out multimodal LLMs might have crossed the chasm on inverse graphics. Tremendous implications for everything from VFX and AR/VR to robotics. Process: ~400 2D photos I took in 2019 went through RealityScan and became a photogrammetry mesh. That’s the classical reconstruction step. Then I dropped that mesh into Blender and used Astra to turn it into a fully editable, cleaned up 3D scene. Asked it to use textures from my photo scan and create procedural 3D shaders for the rest. It's good but it’s definitely not perfect -- funny thing is some of the mistakes are inherited from the reference mesh RealityScan produced i.e. the bird statue’s legs, contours of the furniture etc. This is where humans still have much better “spatial autocomplete” and can take an output like this all the way. My next step will be to see if I can let it use CUA with the photoscan software to interactively reference the source pixel imagery and refine its work in Blender and get even closer to reality.

Gave Astra a 3D scan of my parents old home to make it an editable scene. Then I turned down gravity and opened a portal. Turns out multimodal LLMs might have crossed the chasm on inverse graphics. Tremendous implications for everything from VFX and AR/VR to robotics. Process: ~400 2D photos I took in 2019 went through RealityScan and became a photogrammetry mesh. That’s the classical reconstruction step. Then I dropped that mesh into Blender and used Astra to turn it into a fully editable, cleaned up 3D scene. Asked it to use textures from my photo scan and create procedural 3D shaders for the rest. It's good but it’s definitely not perfect -- funny thing is some of the mistakes are inherited from the reference mesh RealityScan produced i.e. the bird statue’s legs, contours of the furniture etc. This is where humans still have much better “spatial autocomplete” and can take an output like this all the way. My next step will be to see if I can let it use CUA with the photoscan software to interactively reference the source pixel imagery and refine its work in Blender and get even closer to reality.

Bilawal Sidhu

50,870 次观看 • 11 天前

3D creation usually means jumping between multiple tools. I tested Hi3D Agent by turning one reference image into a refined 3D asset , then kept improving it just by describing the changes I wanted. Here’s the full workflow in 75 seconds 👇 Hi3D Agent is positioning itself as the first all-in-one AI 3D Agent in the world, built to handle more of the 3D workflow than a GPT-6-only approach. Hi3D #Hi3Dagent #AI3D #GPT6

3D creation usually means jumping between multiple tools. I tested Hi3D Agent by turning one reference image into a refined 3D asset , then kept improving it just by describing the changes I wanted. Here’s the full workflow in 75 seconds 👇 Hi3D Agent is positioning itself as the first all-in-one AI 3D Agent in the world, built to handle more of the 3D workflow than a GPT-6-only approach. Hi3D #Hi3Dagent #AI3D #GPT6

Emir.

23,748 次观看 • 3 天前

With GPT-6 Astra, my 3D character came to life in Blender and started modeling her own clothes right inside the viewport. The video shows the real process: the character is literally redesigning her wardrobe in real time. Selecting polygons, extruding sleeves, adding modifiers, and tailoring the hoodie pattern to her body. All by herself. From the first vertex to deleting discarded meshes. OpenAI claims GPT-6 Astra can already operate software through the interface: opening apps, clicking buttons, extruding geometry, and making edits like a seasoned 3D artist. In tests with 3D and CAD environments, the new model hit record accuracy across complex workflows, leaving older versions far behind. And through agentic pipelines, it generates production-ready assets, clothing, and full scenes from simple text prompts without manual grind. Would you trust routine 3D modeling to AI or keep moving vertices by hand?

With GPT-6 Astra, my 3D character came to life in Blender and started modeling her own clothes right inside the viewport. The video shows the real process: the character is literally redesigning her wardrobe in real time. Selecting polygons, extruding sleeves, adding modifiers, and tailoring the hoodie pattern to her body. All by herself. From the first vertex to deleting discarded meshes. OpenAI claims GPT-6 Astra can already operate software through the interface: opening apps, clicking buttons, extruding geometry, and making edits like a seasoned 3D artist. In tests with 3D and CAD environments, the new model hit record accuracy across complex workflows, leaving older versions far behind. And through agentic pipelines, it generates production-ready assets, clothing, and full scenes from simple text prompts without manual grind. Would you trust routine 3D modeling to AI or keep moving vertices by hand?

Damir Akaza

167,678 次观看 • 6 天前