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We just open-sourced 3DGS render blender addon v4.0 ( It has been a while, but we are still updating this 3D Gaussian Splatting tool! In this version, we added a real-time rendering mode, so say goodbye to those laggy displays in the viewport! Here is an example: I imported...

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Chris make some 3D scans

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68,522 görüntüleme • 10 ay önce •via X (Twitter)

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3DGS render blender add-on v3.0 ( was just open-sourced! With KIRI tools, you can use "3DGS to mesh" function to get a mesh from Gaussian splatting, and now you can convert the mesh back to Gaussian splatting. It's kind of ironic, but we just try to bring handy tools to everyone. #GaussianSplatting #Blender
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3DGS render blender add-on v3.0 ( was just open-sourced! With KIRI tools, you can use "3DGS to mesh" function to get a mesh from Gaussian splatting, and now you can convert the mesh back to Gaussian splatting. It's kind of ironic, but we just try to bring handy tools to everyone. #GaussianSplatting #Blender

Chris make some 3D scans

39,221 görüntüleme • 1 yıl önce

A new real-time Radiance Field paper beating 3DGS was just released! 🔥 Similarly to 3D Gaussian Splatting, TRIPS optimizes a point-cloud with color, position & size that gets splatted to the screen. But it does so using a single trilinear write in an image pyramid More info ⬇️
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A new real-time Radiance Field paper beating 3DGS was just released! 🔥 Similarly to 3D Gaussian Splatting, TRIPS optimizes a point-cloud with color, position & size that gets splatted to the screen. But it does so using a single trilinear write in an image pyramid More info ⬇️

Alex Carlier

78,372 görüntüleme • 2 yıl önce

Single video → a reframeable 4D Gaussian Splatting scene. Not a sequence of separately built 3D frames played back like a video. This is one continuous space-time scene, reconstructed from a single clip shot on an iPhone 16. We combine feed-forward Gaussian generation, 3D tracking, and 4D Gaussian Splatting, aiming to deliver it as a compact 4D video file that runs on your phone. Still early R&D. The goal: make 4DGS something anyone can create and experience, not just researchers with a camera rig.
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Single video → a reframeable 4D Gaussian Splatting scene. Not a sequence of separately built 3D frames played back like a video. This is one continuous space-time scene, reconstructed from a single clip shot on an iPhone 16. We combine feed-forward Gaussian generation, 3D tracking, and 4D Gaussian Splatting, aiming to deliver it as a compact 4D video file that runs on your phone. Still early R&D. The goal: make 4DGS something anyone can create and experience, not just researchers with a camera rig.

KIRI Engine - 3D Scanner App

30,473 görüntüleme • 18 gün önce

I developed a Blender Addon that allows real-time color grading and compositing in the viewport using layers. Like many image editing software, each layer can adjust opacity, blend mode, and more. 🎇 I use this addon in almost all my work now. 🔥 💖Get it now! 👉 #Blender3D #b3d #blender #addon #BlenderMarket
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I developed a Blender Addon that allows real-time color grading and compositing in the viewport using layers. Like many image editing software, each layer can adjust opacity, blend mode, and more. 🎇 I use this addon in almost all my work now. 🔥 💖Get it now! 👉 #Blender3D #b3d #blender #addon #BlenderMarket

Casey Sheep

32,921 görüntüleme • 1 yıl önce

3D Gaussian Splatting for Real-Time Radiance Field Rendering paper page: Radiance Field methods have recently revolutionized novel-view synthesis of scenes captured with multiple photos or videos. However, achieving high visual quality still requires neural networks that are costly to train and render, while recent faster methods inevitably trade off speed for quality. For unbounded and complete scenes (rather than isolated objects) and 1080p resolution rendering, no current method can achieve real-time display rates. We introduce three key elements that allow us to achieve state-of-the-art visual quality while maintaining competitive training times and importantly allow high-quality real-time (>= 30 fps) novel-view synthesis at 1080p resolution. First, starting from sparse points produced during camera calibration, we represent the scene with 3D Gaussians that preserve desirable properties of continuous volumetric radiance fields for scene optimization while avoiding unnecessary computation in empty space; Second, we perform interleaved optimization/density control of the 3D Gaussians, notably optimizing anisotropic covariance to achieve an accurate representation of the scene; Third, we develop a fast visibility-aware rendering algorithm that supports anisotropic splatting and both accelerates training and allows realtime rendering. We demonstrate state-of-the-art visual quality and real-time rendering on several established datasets.
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3D Gaussian Splatting for Real-Time Radiance Field Rendering paper page: Radiance Field methods have recently revolutionized novel-view synthesis of scenes captured with multiple photos or videos. However, achieving high visual quality still requires neural networks that are costly to train and render, while recent faster methods inevitably trade off speed for quality. For unbounded and complete scenes (rather than isolated objects) and 1080p resolution rendering, no current method can achieve real-time display rates. We introduce three key elements that allow us to achieve state-of-the-art visual quality while maintaining competitive training times and importantly allow high-quality real-time (>= 30 fps) novel-view synthesis at 1080p resolution. First, starting from sparse points produced during camera calibration, we represent the scene with 3D Gaussians that preserve desirable properties of continuous volumetric radiance fields for scene optimization while avoiding unnecessary computation in empty space; Second, we perform interleaved optimization/density control of the 3D Gaussians, notably optimizing anisotropic covariance to achieve an accurate representation of the scene; Third, we develop a fast visibility-aware rendering algorithm that supports anisotropic splatting and both accelerates training and allows realtime rendering. We demonstrate state-of-the-art visual quality and real-time rendering on several established datasets.

AK

633,669 görüntüleme • 3 yıl önce

Our metroidvania has an arena mode. It started as a developer tool to test out guns and enemies but it was too fun so we added it in the game. Fun place to grapple hook to your heart's content. (The UI is still a work in progress) Wishlist Iron Bramble on Steam!
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Our metroidvania has an arena mode. It started as a developer tool to test out guns and enemies but it was too fun so we added it in the game. Fun place to grapple hook to your heart's content. (The UI is still a work in progress) Wishlist Iron Bramble on Steam!

Iron Bramble 🪻

27,583 görüntüleme • 1 ay önce

I think we just built the most insane 3D VFX workflow. Precision reality editing with Simulon + Blender. • Scan the real world in seconds • Edit in Blender • Sync + reopen in Simulon • View & shoot in real-time AR • Photoreal cloud render in minutes Will share a BTS of this clip shortly.
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I think we just built the most insane 3D VFX workflow. Precision reality editing with Simulon + Blender. • Scan the real world in seconds • Edit in Blender • Sync + reopen in Simulon • View & shoot in real-time AR • Photoreal cloud render in minutes Will share a BTS of this clip shortly.

Divesh Naidoo

38,073 görüntüleme • 9 ay önce

Apple just trained a 3D Gaussian head reconstruction model on 10,000+ subjects. Feed-forward. No test-time optimization. New identity in, reconstructed Gaussian head out. The UV-parameterized Gaussian representation decouples the number of Gaussians from the number and resolution of input images, making it practical to train with many high resolution views. And the heads are not just static either: text-conditioned identity generation, plus blendshape-driven latent animation across identities. We've been building in the 3D Gaussian Splatting space for a while. The gap between "research demo" and "works on real people at scale" is closing fast.
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Apple just trained a 3D Gaussian head reconstruction model on 10,000+ subjects. Feed-forward. No test-time optimization. New identity in, reconstructed Gaussian head out. The UV-parameterized Gaussian representation decouples the number of Gaussians from the number and resolution of input images, making it practical to train with many high resolution views. And the heads are not just static either: text-conditioned identity generation, plus blendshape-driven latent animation across identities. We've been building in the 3D Gaussian Splatting space for a while. The gap between "research demo" and "works on real people at scale" is closing fast.

KIRI Engine - 3D Scanner App

12,181 görüntüleme • 2 ay önce

🧊 Splats → Voxels: Bridging 3D Gaussian Splatting with Dynamic Voxels World Labs Just added this last tool to the GS editor plug-in that can convert any 3DGS splats into interactive voxel worlds with full physics support! 🚀 3 Rendering Modes: 🔵 CPU Mode - GameObjects for each voxel. Max physics interaction, perfect for destructible environments 🟢 GPU Mode - DrawMeshInstancedIndirect. Renders 100K+ voxels at 90fps. Pure visual, no physics overhead 🟡 Hybrid Mode - Best of both! GPU renders distant voxels Building this so you can literally punch through a GS World and watch it crumble 🥊 #GaussianSplatting #unity3d #GameDev #VR #3DGS #Voxels #Physics #madewithunity
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🧊 Splats → Voxels: Bridging 3D Gaussian Splatting with Dynamic Voxels World Labs Just added this last tool to the GS editor plug-in that can convert any 3DGS splats into interactive voxel worlds with full physics support! 🚀 3 Rendering Modes: 🔵 CPU Mode - GameObjects for each voxel. Max physics interaction, perfect for destructible environments 🟢 GPU Mode - DrawMeshInstancedIndirect. Renders 100K+ voxels at 90fps. Pure visual, no physics overhead 🟡 Hybrid Mode - Best of both! GPU renders distant voxels Building this so you can literally punch through a GS World and watch it crumble 🥊 #GaussianSplatting #unity3d #GameDev #VR #3DGS #Voxels #Physics #madewithunity

Daniel Skaale

28,534 görüntüleme • 7 ay önce

A new #Blender version has been released and there's a lot of good talk about optimizations and speed ups 🏃‍♀️ But why has no-one mentioned we can turn our 3D scenes and models into cartoons so easily now 🤩 Grab the free demo file to try it out!
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A new #Blender version has been released and there's a lot of good talk about optimizations and speed ups 🏃‍♀️ But why has no-one mentioned we can turn our 3D scenes and models into cartoons so easily now 🤩 Grab the free demo file to try it out!

KIRI Engine - 3D Scanner App

126,318 görüntüleme • 4 ay önce

Is Google taking initial steps to enhance Street View? For some reason, Street View seems stuck in technology that feels outdated. I wonder if we'll see such improvements on the product side. Also, note how much better it performs in all aspects compared to Zip-NeRF in their presented material. It offers more details and fewer artifacts. Great work! "LODGE: Level-of-Detail Large-Scale Gaussian Splatting with Efficient Rendering" Contributions: • We propose a novel LOD representation for 3DGS which, unlike previous methods [27, 28, 17], does not recompute the list of used Gaussians at each frame. This allows for acceleration and compaction, enabling the rendering of large-scale scenes even on mobile devices. • We design a strategy to automatically select optimal hyperparameters for splitting LODs, whereas most other methods require manual tuning of hyperparameters for each 3D scene. • To further accelerate rendering, we split the scene into chunks and pre-compute sets of active Gaussians per chunk. • Finally, we introduce a novel opacity interpolation scheme to produce visually pleasing rendering and eliminate artifacts when transitioning between chunks.
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Is Google taking initial steps to enhance Street View? For some reason, Street View seems stuck in technology that feels outdated. I wonder if we'll see such improvements on the product side. Also, note how much better it performs in all aspects compared to Zip-NeRF in their presented material. It offers more details and fewer artifacts. Great work! "LODGE: Level-of-Detail Large-Scale Gaussian Splatting with Efficient Rendering" Contributions: • We propose a novel LOD representation for 3DGS which, unlike previous methods [27, 28, 17], does not recompute the list of used Gaussians at each frame. This allows for acceleration and compaction, enabling the rendering of large-scale scenes even on mobile devices. • We design a strategy to automatically select optimal hyperparameters for splitting LODs, whereas most other methods require manual tuning of hyperparameters for each 3D scene. • To further accelerate rendering, we split the scene into chunks and pre-compute sets of active Gaussians per chunk. • Finally, we introduce a novel opacity interpolation scheme to produce visually pleasing rendering and eliminate artifacts when transitioning between chunks.

MrNeRF

62,564 görüntüleme • 1 yıl önce

We built a better alternative to json-render & A2UI Up to 3x faster rendering & 67% fewer tokens. Far fewer broken outputs. We've been shipping Generative UI interfaces to 10,000+ developers for the past year. We know where JSON-based rendering breaks in production. So we built a new format - one that works with how models actually generate, not against it. And today we're open sourcing it: openui [dot] com
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We built a better alternative to json-render & A2UI Up to 3x faster rendering & 67% fewer tokens. Far fewer broken outputs. We've been shipping Generative UI interfaces to 10,000+ developers for the past year. We know where JSON-based rendering breaks in production. So we built a new format - one that works with how models actually generate, not against it. And today we're open sourcing it: openui [dot] com

Rabi Shanker Guha

133,987 görüntüleme • 4 ay önce

For the final time at Jake Field, the field lights are off. It’s a bittersweet moment to know we are saying goodbye to so many wonderful memories but we can’t wait for the new version to open in 2026! 💚💚💚💚
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For the final time at Jake Field, the field lights are off. It’s a bittersweet moment to know we are saying goodbye to so many wonderful memories but we can’t wait for the new version to open in 2026! 💚💚💚💚

Concord HS Athletics

10,253 görüntüleme • 1 yıl önce

Been refactoring and changing the API to make it easier to use, but that is not fun to show. So here we go, I added a UAS-mode showing at what flight elevation you will be seen.
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Been refactoring and changing the API to make it easier to use, but that is not fun to show. So here we go, I added a UAS-mode showing at what flight elevation you will be seen.

Måns

11,301 görüntüleme • 3 ay önce

Segment Any 3D Gaussians paper page: Interactive 3D segmentation in radiance fields is an appealing task since its importance in 3D scene understanding and manipulation. However, existing methods face challenges in either achieving fine-grained, multi-granularity segmentation or contending with substantial computational overhead, inhibiting real-time interaction. In this paper, we introduce Segment Any 3D GAussians (SAGA), a novel 3D interactive segmentation approach that seamlessly blends a 2D segmentation foundation model with 3D Gaussian Splatting (3DGS), a recent breakthrough of radiance fields. SAGA efficiently embeds multi-granularity 2D segmentation results generated by the segmentation foundation model into 3D Gaussian point features through well-designed contrastive training. Evaluation on existing benchmarks demonstrates that SAGA can achieve competitive performance with state-of-the-art methods. Moreover, SAGA achieves multi-granularity segmentation and accommodates various prompts, including points, scribbles, and 2D masks. Notably, SAGA can finish the 3D segmentation within milliseconds, achieving nearly 1000x acceleration compared to previous SOTA.
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Segment Any 3D Gaussians paper page: Interactive 3D segmentation in radiance fields is an appealing task since its importance in 3D scene understanding and manipulation. However, existing methods face challenges in either achieving fine-grained, multi-granularity segmentation or contending with substantial computational overhead, inhibiting real-time interaction. In this paper, we introduce Segment Any 3D GAussians (SAGA), a novel 3D interactive segmentation approach that seamlessly blends a 2D segmentation foundation model with 3D Gaussian Splatting (3DGS), a recent breakthrough of radiance fields. SAGA efficiently embeds multi-granularity 2D segmentation results generated by the segmentation foundation model into 3D Gaussian point features through well-designed contrastive training. Evaluation on existing benchmarks demonstrates that SAGA can achieve competitive performance with state-of-the-art methods. Moreover, SAGA achieves multi-granularity segmentation and accommodates various prompts, including points, scribbles, and 2D masks. Notably, SAGA can finish the 3D segmentation within milliseconds, achieving nearly 1000x acceleration compared to previous SOTA.

AK

69,542 görüntüleme • 2 yıl önce

He did it! Preston Lobliner hit 400lbs high-box-squat during football season! He struggled on this one - for the rest of the season we will stick to doubles and triples. Gaining strength in-season is the goal and usually doesn’t happen, but Preston is diligent with his programming. And once again, I hate having to say this, but WE KNOW that this isn’t a full squat. We do those as well. It’s just another tool in the toolbox.
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He did it! Preston Lobliner hit 400lbs high-box-squat during football season! He struggled on this one - for the rest of the season we will stick to doubles and triples. Gaining strength in-season is the goal and usually doesn’t happen, but Preston is diligent with his programming. And once again, I hate having to say this, but WE KNOW that this isn’t a full squat. We do those as well. It’s just another tool in the toolbox.

Marc Lobliner - IFBB Pro

19,214 görüntüleme • 11 ay önce

Claude vs Gemini vs DeepSeek vs Grok PROMPT: Build a production-ready 3D flight visualizer in one HTML file. Use Three.js to render a rotatable Earth and simulate real-time aircraft positions using smooth interpolation. Include polished lighting, a starfield background, and make it responsive for mobile and desktop. Which tool is the best?
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Claude vs Gemini vs DeepSeek vs Grok PROMPT: Build a production-ready 3D flight visualizer in one HTML file. Use Three.js to render a rotatable Earth and simulate real-time aircraft positions using smooth interpolation. Include polished lighting, a starfield background, and make it responsive for mobile and desktop. Which tool is the best?

Oleg Bilozor

72,608 görüntüleme • 4 ay önce