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The low poly meshes I created are much, much faster with physics / collision than those directly from the splat to mesh translation. Amazing. I now have an end to end workflow for generated 3D worlds with usable collisions. Works great in VR and mobile too ...

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martin_casado

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54,627 görüntüleme • 7 ay önce •via X (Twitter)

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Working on a tool to generate low poly collision meshes from gaussian splats. It uses marching cubes and quadric error metric (QEM) decimation. Results are pretty good, it can get a usable sub 10Mb collision mesh from a 50Mb splat.
0:44

Working on a tool to generate low poly collision meshes from gaussian splats. It uses marching cubes and quadric error metric (QEM) decimation. Results are pretty good, it can get a usable sub 10Mb collision mesh from a 50Mb splat.

martin_casado

49,759 görüntüleme • 7 ay önce

I generated this 3D enviroment using a single image using "Marble" from World Labs. The new version can generate a mesh from the splat and is directly usable in Unreal Engine 5.7.
0:35

I generated this 3D enviroment using a single image using "Marble" from World Labs. The new version can generate a mesh from the splat and is directly usable in Unreal Engine 5.7.

Matt Workman

42,460 görüntüleme • 9 ay önce

AI 3D workflows for web are getting scary good. Here is a demo with a large splat background (+LoD), mesh character, spatial audio, VR support, and lighting. I was able to create it in a few hours (repo in reply). built with Three.js spark World Labs Audio on :)
1:03

AI 3D workflows for web are getting scary good. Here is a demo with a large splat background (+LoD), mesh character, spatial audio, VR support, and lighting. I was able to create it in a few hours (repo in reply). built with Three.js spark World Labs Audio on :)

martin_casado

82,670 görüntüleme • 9 ay önce

Collisions are finally coming! Automatic splat to conversion is tough given how messy AI generated splats are. So I created a simple editor that does down sampling, opacity filtering and then basic marching cubes and the results are pretty OK! 🥳
0:57

Collisions are finally coming! Automatic splat to conversion is tough given how messy AI generated splats are. So I created a simple editor that does down sampling, opacity filtering and then basic marching cubes and the results are pretty OK! 🥳

martin_casado

46,726 görüntüleme • 8 ay önce

AI aided 3D world building is getting ridiculous. This is a large, multi-room gaussian splat (~6million splats). Has streaming, LoD, character support, spatial audio, physics, collisions, VR support, and streaming video. Audio on ... Great place to watch a movie :)
0:58

AI aided 3D world building is getting ridiculous. This is a large, multi-room gaussian splat (~6million splats). Has streaming, LoD, character support, spatial audio, physics, collisions, VR support, and streaming video. Audio on ... Great place to watch a movie :)

martin_casado

47,615 görüntüleme • 7 ay önce

Another ridiculously large AI generated 3D scene. Tons of detail, and nice stereoscopic audio (turn on sound if you can). Works well in VR (although some quant effects from Spark near the end). Hosted version in reply.
1:56

Another ridiculously large AI generated 3D scene. Tons of detail, and nice stereoscopic audio (turn on sound if you can). Works well in VR (although some quant effects from Spark near the end). Hosted version in reply.

martin_casado

47,774 görüntüleme • 8 ay önce

Wild. Single shot text to 3D scene (gaussian splat) with no editing. This is approaching a usable scene asset for a game / 3D application.
0:21

Wild. Single shot text to 3D scene (gaussian splat) with no editing. This is approaching a usable scene asset for a game / 3D application.

martin_casado

56,136 görüntüleme • 1 yıl önce

Well, it appears that turning a Gaussian Splat into a #3D mesh was not that hard after all 😅. I have recently tried an app called KIRI Engine - 3D Scanner App and it offers several nice features that for me made it stand out from many other scanning apps: - It supports both photos and videos - You can clean up the splat directly in the app - It works on both Android, iOS and web! - BUT MOST IMPORTANTLY you can export the mesh making gaussian splitting a much more usable format for various production pipelines. I will be interviewing Jack Wang, the CEO of Kiri for an upcoming episode of XR AI Spotlight: What questions should I ask him?
0:59

Well, it appears that turning a Gaussian Splat into a #3D mesh was not that hard after all 😅. I have recently tried an app called KIRI Engine - 3D Scanner App and it offers several nice features that for me made it stand out from many other scanning apps: - It supports both photos and videos - You can clean up the splat directly in the app - It works on both Android, iOS and web! - BUT MOST IMPORTANTLY you can export the mesh making gaussian splitting a much more usable format for various production pipelines. I will be interviewing Jack Wang, the CEO of Kiri for an upcoming episode of XR AI Spotlight: What questions should I ask him?

Gabriele Romagnoli

22,997 görüntüleme • 1 yıl önce

To support massive, high-fidelity worlds, our engine implements an efficient LOD strategy with a cloud transcoding system that streams meshes and textures, even on lower end mobile devices. We are expanding this framework to AI upsampling of 3D worlds from prompts. In this preview video below, with a single user prompt, our 3D upsampling technology updates the geometry and texture to transform the classic Roblox game Crossroads into a fantasy world with rich organic detail. 3/4
0:28

To support massive, high-fidelity worlds, our engine implements an efficient LOD strategy with a cloud transcoding system that streams meshes and textures, even on lower end mobile devices. We are expanding this framework to AI upsampling of 3D worlds from prompts. In this preview video below, with a single user prompt, our 3D upsampling technology updates the geometry and texture to transform the classic Roblox game Crossroads into a fantasy world with rich organic detail. 3/4

Roblox

1,423,337 görüntüleme • 6 ay önce

🚀🚀🚀Hunyuan 3D Studio just leveled up to 1.1! We've integrated the art-grade 3D generative model, Hunyuan 3D-PolyGen 1.5, to deliver the industry's most advanced mesh quality directly to your workflow. 🎨 🖌️ Art-Grade Quad Mesh: We've pioneered an end-to-end native quad mesh generation method. Unlike older methods that generated only tri-meshes, PolyGen 1.5 directly learns quad topology to produce cleaner, continuous edge loops and superior wireframe quality. 🎮 Professional Viability: Achieving this topology standard makes models instantly production-ready for game artists, 3D designers, and developers across game development, animation, and VR content creation. ⚙️ Flexible Output: PolyGen 1.5 supports both Quad and Triangular Topology, ensuring viability for both soft-surface and hard-surface models in professional pipelines. PolyGen 1.5 sets a new SOTA in stability, detail, and wireframe quality. Explore Hunyuan 3D Studio 1.1 and see the results:
1:03

🚀🚀🚀Hunyuan 3D Studio just leveled up to 1.1! We've integrated the art-grade 3D generative model, Hunyuan 3D-PolyGen 1.5, to deliver the industry's most advanced mesh quality directly to your workflow. 🎨 🖌️ Art-Grade Quad Mesh: We've pioneered an end-to-end native quad mesh generation method. Unlike older methods that generated only tri-meshes, PolyGen 1.5 directly learns quad topology to produce cleaner, continuous edge loops and superior wireframe quality. 🎮 Professional Viability: Achieving this topology standard makes models instantly production-ready for game artists, 3D designers, and developers across game development, animation, and VR content creation. ⚙️ Flexible Output: PolyGen 1.5 supports both Quad and Triangular Topology, ensuring viability for both soft-surface and hard-surface models in professional pipelines. PolyGen 1.5 sets a new SOTA in stability, detail, and wireframe quality. Explore Hunyuan 3D Studio 1.1 and see the results:

Tencent Hy

146,599 görüntüleme • 9 ay önce

Trying low-poly 3D models and animations in Meshy3D. More than enough for the games I want to make.
1:25

Trying low-poly 3D models and animations in Meshy3D. More than enough for the games I want to make.

Itomaru 📿

130,579 görüntüleme • 2 ay önce

Still experimenting with hand tracking 🖐️ using a webcam and the dear Carlo. The 3D model was generated from a single image in Omma AI Studio, and I remixed an Octopus demo to take advantage of the physics simulation. Building with AI these days is so much fun. Music also generated from the Studio (Fan Art) #threeJS
0:58

Still experimenting with hand tracking 🖐️ using a webcam and the dear Carlo. The 3D model was generated from a single image in Omma AI Studio, and I remixed an Octopus demo to take advantage of the physics simulation. Building with AI these days is so much fun. Music also generated from the Studio (Fan Art) #threeJS

Joseph Azar

74,480 görüntüleme • 2 ay önce

New clean 3D AI workflow Control Rig physics in UEFN! Been exploring some more hybrid AI workflows lately, and for 3D assets splitting the model into parts is kinda essential. This video shows my first test using AssetHub, one of the cleanest ways i've used to keep the whole generation process organized. It auto-detected the pose in my main image and broke it down into parts, then generated images for each. From there I can just iterate on each piece separately and generate the 3D models in one workflow. AssetHub is still in closed beta atm, so let me know if you want to try it out. Main reference image came from Grok Imagine. All the part images and high poly meshes were done in AssetHub, selected Tripo 3.1 as the main model. After that I ran it through Hunyuan 3D for retopo + unwrap. Final assembly in Blender. Baked normals from high to low poly. End result: under 60K tris, 3 materials, 2K textures. Also Control Rig physics in Unreal Engine are insane. It finally validates in UEFN too, so of course I had to test it out.
1:17

New clean 3D AI workflow Control Rig physics in UEFN! Been exploring some more hybrid AI workflows lately, and for 3D assets splitting the model into parts is kinda essential. This video shows my first test using AssetHub, one of the cleanest ways i've used to keep the whole generation process organized. It auto-detected the pose in my main image and broke it down into parts, then generated images for each. From there I can just iterate on each piece separately and generate the 3D models in one workflow. AssetHub is still in closed beta atm, so let me know if you want to try it out. Main reference image came from Grok Imagine. All the part images and high poly meshes were done in AssetHub, selected Tripo 3.1 as the main model. After that I ran it through Hunyuan 3D for retopo + unwrap. Final assembly in Blender. Baked normals from high to low poly. End result: under 60K tris, 3 materials, 2K textures. Also Control Rig physics in Unreal Engine are insane. It finally validates in UEFN too, so of course I had to test it out.

Jerome | InsaneUnreal

82,884 görüntüleme • 4 ay önce

Over the weekend, I added multiplayer "paint ball" dogfight to Tiny Skies, so players can fly around pelting each other with colourful paint balls, just for fun. I tried meshy and tripo to generate some 3D models for the game and the mesh vertices count are really high and lags the game a lot (probably because my game is a globe with thousands of objects - albeit mostly instanced). To my surprise, I found Gemini 3.1 Pro to be really quite good at generating good looking 3D models that are low in poly count. It generated 3D models at a much higher quality than Opus 4.6, Sonnet 4.6 and GPT 5.4. You can see the upgraded biplane models and some objects in the video below. #vibejam
0:23

Over the weekend, I added multiplayer "paint ball" dogfight to Tiny Skies, so players can fly around pelting each other with colourful paint balls, just for fun. I tried meshy and tripo to generate some 3D models for the game and the mesh vertices count are really high and lags the game a lot (probably because my game is a globe with thousands of objects - albeit mostly instanced). To my surprise, I found Gemini 3.1 Pro to be really quite good at generating good looking 3D models that are low in poly count. It generated 3D models at a much higher quality than Opus 4.6, Sonnet 4.6 and GPT 5.4. You can see the upgraded biplane models and some objects in the video below. #vibejam

Danny Limanseta

36,419 görüntüleme • 4 ay önce

Upgrades! Here we have 5,000 Static Mesh Components simulating physics on the CPU, all active all the time. Perfect collisions. Nanite, Lumen, UE5.3.2 I found a nice bump going from Actors to Components for simulating mesh. Colors change on impact/jump due to low Z UnrealEngine
2:00

Upgrades! Here we have 5,000 Static Mesh Components simulating physics on the CPU, all active all the time. Perfect collisions. Nanite, Lumen, UE5.3.2 I found a nice bump going from Actors to Components for simulating mesh. Colors change on impact/jump due to low Z UnrealEngine

🔥GameDevMicah🔥

15,736 görüntüleme • 2 yıl önce

I'm changing the way Partition Mesh works and it will now split the object. This will make randomization on more hires meshes lighter and faster. Tomorrow, I will work on how to merge these separated parts back together. #b3d #3d #randomflow
1:00

I'm changing the way Partition Mesh works and it will now split the object. This will make randomization on more hires meshes lighter and faster. Tomorrow, I will work on how to merge these separated parts back together. #b3d #3d #randomflow

Ian Lloyd Dela Cruz

14,511 görüntüleme • 2 yıl önce

✨ Built my own Guassian Splat viewer for my app 🏡 Interior AI It takes splats generated from your interior with the World Labs API so you can walk around them in 3d space It's starting to look much more real than when I added splats 6 months ago, great work 🌐 World Labs!
0:20

✨ Built my own Guassian Splat viewer for my app 🏡 Interior AI It takes splats generated from your interior with the World Labs API so you can walk around them in 3d space It's starting to look much more real than when I added splats 6 months ago, great work 🌐 World Labs!

@levelsio

1,364,147 görüntüleme • 6 ay önce

We are thrilled to release the next leap in art-grade 3D generative models. Our single-click model pipeline gives unprecedented mesh outputs, with mesh parts-based topology. It is available now for all Cube tiers to start for free. ☑️ Our multi-stage hierarchical AI models produce a fully assembled 3D mesh with adaptive poly-counts, providing the clean, separated topology you need. ✅ A parts-based approach enables high-resolution meshes. 🌐 Quad and Triangle mesh support. Access now:
1:02

We are thrilled to release the next leap in art-grade 3D generative models. Our single-click model pipeline gives unprecedented mesh outputs, with mesh parts-based topology. It is available now for all Cube tiers to start for free. ☑️ Our multi-stage hierarchical AI models produce a fully assembled 3D mesh with adaptive poly-counts, providing the clean, separated topology you need. ✅ A parts-based approach enables high-resolution meshes. 🌐 Quad and Triangle mesh support. Access now:

Common Sense Machines

420,455 görüntüleme • 1 yıl önce

Tested this concepting workflow. ▶️ Converting a level design image to a 3D asset gallery image ▶️ re-generating segmented subjects into separate high quality images. ▶️ using these images to generate the 3D meshes. First time using 'for loops' in ComfyUI, works great and the prompts are updated for every segment. I used the Nano Banana 2 API node in ComfyUI to generate the final high quality images. Those SAM3 nodes are crazy btw, just set some points and it creates a mask! For the 3D model generation I used the new Tripo Smart Mesh tool, which is fast! The output is not perfect yet. I think in a lot of cases not production ready right now but that depends on the input image and the goal as well. For pre-production / concepting phase it's perfect and for far distance meshes it’s fine. I’m sure these tools keep improving, curious what we can work with in 3-6 months. Minimal cleanup and scaling in Blender and tested the meshes in UEFN / Unreal Engine. After creating the ComfyUI workflow it took less than an hour to do everything.
1:28

Tested this concepting workflow. ▶️ Converting a level design image to a 3D asset gallery image ▶️ re-generating segmented subjects into separate high quality images. ▶️ using these images to generate the 3D meshes. First time using 'for loops' in ComfyUI, works great and the prompts are updated for every segment. I used the Nano Banana 2 API node in ComfyUI to generate the final high quality images. Those SAM3 nodes are crazy btw, just set some points and it creates a mask! For the 3D model generation I used the new Tripo Smart Mesh tool, which is fast! The output is not perfect yet. I think in a lot of cases not production ready right now but that depends on the input image and the goal as well. For pre-production / concepting phase it's perfect and for far distance meshes it’s fine. I’m sure these tools keep improving, curious what we can work with in 3-6 months. Minimal cleanup and scaling in Blender and tested the meshes in UEFN / Unreal Engine. After creating the ComfyUI workflow it took less than an hour to do everything.

Jerome | InsaneUnreal

17,461 görüntüleme • 5 ay önce

3D world meshes are here! 🌐 Generate a skybox and turn it into a 3D mesh in seconds with Skybox AI World Mesh. Exclusive early alpha preview available now for Technowizard subscribers. Coming soon for those on the waitlist. #3DAI #3Dart #generativeAI #gamedev #AItools
0:55

3D world meshes are here! 🌐 Generate a skybox and turn it into a 3D mesh in seconds with Skybox AI World Mesh. Exclusive early alpha preview available now for Technowizard subscribers. Coming soon for those on the waitlist. #3DAI #3Dart #generativeAI #gamedev #AItools

Blockade Labs

104,752 görüntüleme • 2 yıl önce