Chris make some 3D scans
@ChrisAtKIRI
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Co-founder @KIRI_Engine_App. A tech guy. A gamer. A Spurs Fan. Try to build the best 3d scanner app in the world.
Joined May 2023
I have seen many inspiring papers to generate geometry with 3DGS like SuGAR, 2DGS, and so on. Now KIRI Engine brings the crazy 3DGS to Mesh 2.0 function in production. You will be able to test one of the best algorithms up to date. Showcases: https://t.co/DjqYcIGQ7o. If you
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After a year of team work, we're thrilled to introduce Depth Anything 3 (DA3)! 🚀 Aiming for human-like spatial perception, DA3 extends monocular depth estimation to any-view scenarios, including single images, multi-view images, and video. In pursuit of minimal modeling, DA3
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貝印株式会社 デザイン部の特設サイトを 企画・制作しました。 刃物を中心とする117年間のものづくりで 育んだ美学を「触れる映像」で表現しました。 道具の使い心地を味わうように、 ぜひ画面を触ってお楽しみください。 https://t.co/H6rPrk9nRP AD: 林英和 TD: 岡部健二 @kenjiokabe .
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Gaussian Splatting is beautiful, fast to render and is sure to be the future of 3D. But for collision meshes in games, sharp shadow casting and other mesh-only operations it's useful to have a complimentary mesh. The KIRI Engine app produces incredible 3DGS to mesh results
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3DGS Render 4.1 Update is out! Gaussian Splat tech keeps growing and this is our free and open source way of contributing to the community. This version was made with creators in mind with a bunch of automatic and experimental tools: Auto Crop Object: for quickly removing
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PlanarGS: High-Fidelity Indoor 3D Gaussian Splatting Guided by Vision-Language Planar Priors Contributions: • We introduce a novel 3DGS framework that integrates semantic planar priors and multi-view depth priors to achieve high-fidelity reconstruction in challenging indoor
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Today 10:45–12:45 HST at #ICCV2025 Demo Session, I’ll share our recent explorations on “Gen for 3D Data Scaling” - Hi3DGen, OneposeViaGen, ReconViaGen. We’re exploring how generative priors can help scale 3D training data —welcome to chat and discuss collaborations!
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🚀Excited to share our recent work on test-time scaling for feed-forward Gaussian splatting: we learn a recurrent model ReSplat that is able to iteratively improve the reconstruction quality in a feed-forward manner! https://t.co/OB38xC7PjC
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I 3d scanned my kid, again! Time flies fast, and now he is 7 months old. It's so exciting to preserve the memory with both 3D Gaussian Splatting and the mesh at the same time. I really wish I could render something super cool in blender, but I am so bad at it.
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Pixel-Perfect-Depth: the paper aims to fix Marigold's loss of sharpness induced by VAE by using VFMs (VGGT/DAv2) and a DiT-based pixel decoder to refine the predictions and achieve clean depth discontinuities. Video by authors.
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This function has been out for almost a year and is still leading! We are also preparing something fun and new for this year Q4. KIRI Engine let's go.
Normally, 3D Gaussian Splatting stops at “pretty renders”. 😎 Our 3DGS→Mesh 2.0 doesn’t stop there. 😤 We merged mesh generation into Gaussian optimization itself 🧭— predicting normals, filtering reflections✨, and forming surfaces as it trains. Result: manifold,
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Thanks @_akhaliq for sharing our work! The code and demo will be public soon. Please have a look if you are interested.🥰🥰🥰 Paper: https://t.co/rywt2tPEKz,
https://t.co/2b4lEhKk05 Github: https://t.co/0i6CIqpxLC Project page:
github.com
Official Implementation of DA²: Depth Anything in Any Direction - EnVision-Research/DA-2
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gaussian splatting in @Blender keeps getting better. @KIRI_Engine_App just released V4 of their free plugin. Article https://t.co/PH06NNu6OY Repo https://t.co/GwT7nakDfr
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V4.0 of the 3DGS Render addon is out, and it's still free! Two new working modes, offering a full edit and animation pipeline Edit Mode: for editing points, painting colors and animation Render Mode: For real time viewport and offline rendering All changes made in Edit mode
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We just open-sourced 3DGS render blender addon v4.0 ( https://t.co/BOBaGsopVq)! 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
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Meet MapAnything – a transformer that directly regresses factored metric 3D scene geometry (from images, calibration, poses, or depth) in an end-to-end way. No pipelines, no extra stages. Just 3D geometry & cameras, straight from any type of input, delivering new state-of-the-art
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Generate persistent 3D worlds from a single image, bigger and better than ever! We’re excited to share our latest results and invite you to try out our world generation model in a limited beta preview.
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This is definetly an underrated function in KIRI Engine. I like the beautiful surface it created.
iPhone’s LiDAR is great for capturing overall shapes, but often misses the fine details and creates lumpy meshes. We added an AI-powered depth enhancement, resulting in: - Less noise - Sharper details - Cleaner surfaces See it yourself 👇
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