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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:

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Zhiwen(Aaron) Fan

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31,835 görüntüleme • 4 ay önce •via X (Twitter)

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"YoNoSplat: You Only Need One Model for Feedforward 3D Gaussian Splatting" TL;DR: a unified 3D Gaussian splatting model that reconstructs high-quality scene geometry and camera poses from unposed/uncalibrated images in a single forward pass.
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"YoNoSplat: You Only Need One Model for Feedforward 3D Gaussian Splatting" TL;DR: a unified 3D Gaussian splatting model that reconstructs high-quality scene geometry and camera poses from unposed/uncalibrated images in a single forward pass.

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What happens when VLMs meet 3D foundation models? See VLM-3R (CVPR 2026). VLM-3R links a vision-language model (e.g., Qwen) with 3D geometric foundation models (e.g., CUT3R) at metric scale. Given an uncalibrated video, it moves beyond pixels to perceive and reason in 3D space. Code (open source):
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What happens when VLMs meet 3D foundation models? See VLM-3R (CVPR 2026). VLM-3R links a vision-language model (e.g., Qwen) with 3D geometric foundation models (e.g., CUT3R) at metric scale. Given an uncalibrated video, it moves beyond pixels to perceive and reason in 3D space. Code (open source):

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Introducing MASt3R-SLAM, the first real-time monocular dense SLAM with MASt3R as a foundation. Easy to use like DUSt3R/MASt3R, from an uncalibrated RGB video it recovers accurate, globally consistent poses & a dense map. With Eric Dexheimer*, Andrew Davison (*Equal Contribution)
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Introducing MASt3R-SLAM, the first real-time monocular dense SLAM with MASt3R as a foundation. Easy to use like DUSt3R/MASt3R, from an uncalibrated RGB video it recovers accurate, globally consistent poses & a dense map. With Eric Dexheimer*, Andrew Davison (*Equal Contribution)

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Code released: "GaussianObject: Just Taking Four Images to Get A High-Quality 3D Object with Gaussian Splatting"
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Code released: "GaussianObject: Just Taking Four Images to Get A High-Quality 3D Object with Gaussian Splatting"

MrNeRF

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Gaussian Shell Maps are a new neural scene representation that connects fields and 3D Gaussians. This representation unlocks the full potential of 3D Gaussian splatting for generative AI applications, such as 3D avatar generation. 1/2
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Gaussian Shell Maps are a new neural scene representation that connects fields and 3D Gaussians. This representation unlocks the full potential of 3D Gaussian splatting for generative AI applications, such as 3D avatar generation. 1/2

Gordon Wetzstein

52,480 görüntüleme • 2 yıl önce

I like big splats and I cannot lie. PlayCanvas's new LOD streaming system for 3D Gaussian Splatting is a big deal. It's a key step towards splatting the world and making it explorable. Check out a live demo below in your browser.
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I like big splats and I cannot lie. PlayCanvas's new LOD streaming system for 3D Gaussian Splatting is a big deal. It's a key step towards splatting the world and making it explorable. Check out a live demo below in your browser.

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🚀 Introducing gsplat.js - a JavaScript Gaussian Splatting library 🚄 Speed: Optimized WebAssembly ☂️ Versatility: Modular, swap out the renderer 🤗 Open Source: MIT License Code: Repo:
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🚀 Introducing gsplat.js - a JavaScript Gaussian Splatting library 🚄 Speed: Optimized WebAssembly ☂️ Versatility: Modular, swap out the renderer 🤗 Open Source: MIT License Code: Repo:

dylan

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📢 Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation Got only one or a few images and wondering if recovering the 3D environment is a reconstruction or generation problem? Why not do it with a generative reconstruction model! We show that a camera-conditioned video diffusion model can be transformed into a generative reconstruction model that directly outputs a high-quality 3D Gaussian Splatting representation through self-distillation, without requiring real-world training data. Check out our results in the video (wait for dynamic scenes in the second half!) : Project Page: Code and Models: Paper:
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📢 Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation Got only one or a few images and wondering if recovering the 3D environment is a reconstruction or generation problem? Why not do it with a generative reconstruction model! We show that a camera-conditioned video diffusion model can be transformed into a generative reconstruction model that directly outputs a high-quality 3D Gaussian Splatting representation through self-distillation, without requiring real-world training data. Check out our results in the video (wait for dynamic scenes in the second half!) : Project Page: Code and Models: Paper:

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I am releasing the “MLSharp” app for macOS. MLSharp is a premium macOS application that transforms 2D images into immersive 3D Gaussian Splatting (3DGS) models using state-of-the-art AI.
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I am releasing the “MLSharp” app for macOS. MLSharp is a premium macOS application that transforms 2D images into immersive 3D Gaussian Splatting (3DGS) models using state-of-the-art AI.

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90,625 görüntüleme • 2 ay önce

splat-transform is a free and open source library and CLI tool for processing 3D Gaussian splats. It can create lightweight, accurate, voxel-based collision at scale. No human intervention required. This gym scene's voxels are perfectly generated - even large fully transparent windows are correctly filled. The voxel data file is 118KB. Start building 3D Gaussian splat apps today with PlayCanvas and splat-transform. 🧑‍💻
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splat-transform is a free and open source library and CLI tool for processing 3D Gaussian splats. It can create lightweight, accurate, voxel-based collision at scale. No human intervention required. This gym scene's voxels are perfectly generated - even large fully transparent windows are correctly filled. The voxel data file is 118KB. Start building 3D Gaussian splat apps today with PlayCanvas and splat-transform. 🧑‍💻

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Coding some shaders for 3D Gaussian Splatting 😀 Input is a 40 second video processed with Luma Check the reflections on the bag! Demo:
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Coding some shaders for 3D Gaussian Splatting 😀 Input is a 40 second video processed with Luma Check the reflections on the bag! Demo:

Alexandre Devaux

44,165 görüntüleme • 2 yıl önce

For those interested in Gaussian Splatting, I just found a awesome free open-source tool that generates high-quality GS. You can download it here:
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For those interested in Gaussian Splatting, I just found a awesome free open-source tool that generates high-quality GS. You can download it here:

Alex

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Segment Anything Model 2 (SAM 2) is a foundation model from Meta FAIR for promptable visual segmentation in images & videos. Available now for anyone to build on for free, open source under an Apache license. Try the demo ➡️
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Segment Anything Model 2 (SAM 2) is a foundation model from Meta FAIR for promptable visual segmentation in images & videos. Available now for anyone to build on for free, open source under an Apache license. Try the demo ➡️

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🚀 Major upgrades just landed in SuperSplat, the free and open source platform for 3D Gaussian splatting. Here is a 24-MILLION-Gaussian scan streaming live to a web browser. Near instant load time. Solid 60 fps. How? A new compute-based WebGPU renderer + automatic LOD streaming. 🧵
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🚀 Major upgrades just landed in SuperSplat, the free and open source platform for 3D Gaussian splatting. Here is a 24-MILLION-Gaussian scan streaming live to a web browser. Near instant load time. Solid 60 fps. How? A new compute-based WebGPU renderer + automatic LOD streaming. 🧵

PlayCanvas

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As Hamburg is covered in a thick layer of snow, Jörg Kahlhöfer took the opportunity to capture this street scene with 3D Gaussian Splatting. Watch him try out different lighting setups:
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As Hamburg is covered in a thick layer of snow, Jörg Kahlhöfer took the opportunity to capture this street scene with 3D Gaussian Splatting. Watch him try out different lighting setups:

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3D Gaussian Splatting can struggle with highly specular surfaces. But this is perhaps the best 3DGS of a watch that I've seen. It even does a decent job with the Cyclops lens. This is 11MB. With the upcoming SOGS integration in SuperSplat, it will be 3MB!
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3D Gaussian Splatting can struggle with highly specular surfaces. But this is perhaps the best 3DGS of a watch that I've seen. It even does a decent job with the Cyclops lens. This is 11MB. With the upcoming SOGS integration in SuperSplat, it will be 3MB!

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One of the Lightning 2.0 highlights is the open source Fabric library ( Fabric let's you scale you PyTorch code with only a few lines of code. Used the pre-release for my research & it's amazing! Here's a quick demo + code:
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One of the Lightning 2.0 highlights is the open source Fabric library ( Fabric let's you scale you PyTorch code with only a few lines of code. Used the pre-release for my research & it's amazing! Here's a quick demo + code:

Sebastian Raschka

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🚀 Just dropped the code: #InstantSplat! Reconstruct your 3D scenes in seconds. Get it now at and start building! ✨ #3DVision #AI #ComputerVision #NVlabs #OpenSource
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🚀 Just dropped the code: #InstantSplat! Reconstruct your 3D scenes in seconds. Get it now at and start building! ✨ #3DVision #AI #ComputerVision #NVlabs #OpenSource

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Introducing the Describe Anything Model (DAM), a powerful Multimodal LLM that generates detailed descriptions for user-specified regions in images or videos using points, boxes, scribbles, or masks. Open-source code, models, demo, data, and benchmark at:
3:21

Introducing the Describe Anything Model (DAM), a powerful Multimodal LLM that generates detailed descriptions for user-specified regions in images or videos using points, boxes, scribbles, or masks. Open-source code, models, demo, data, and benchmark at:

Yin Cui

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⚙️ 404—GEN has released the WORLD'S LARGEST open-source 3D model dataset ⚙️ • 21.5M+ AI-generated 3d models • Open-source and attribution-ready • Larger than all existing 3D datasets combined This is an unmatched scale for Gaussian Splatting research. More details below 🧵 ⬇️
0:37

⚙️ 404—GEN has released the WORLD'S LARGEST open-source 3D model dataset ⚙️ • 21.5M+ AI-generated 3d models • Open-source and attribution-ready • Larger than all existing 3D datasets combined This is an unmatched scale for Gaussian Splatting research. More details below 🧵 ⬇️

404

44,735 görüntüleme • 1 yıl önce