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Chris make some 3D scans

@ChrisAtKIRI1,624 subscribers

Co-founder @KIRI_Engine_App. A tech guy. A gamer. A Spurs Fan. Try to build the best 3d scanner app in the world.

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Introducing 3D Gaussian Splatting to Mesh 3.0 by KIRI Engine! I'd like to say it gives the best mesh quality from 3DGS by far in the market! Showcases: If you are getting trouble with bad results in phone scanning, try this out. Special thanks to paper GGGS ( which inspired us a lot! #GaussianSplatting #3DScan #CVPR2026

Introducing 3D Gaussian Splatting to Mesh 3.0 by KIRI Engine! I'd like to say it gives the best mesh quality from 3DGS by far in the market! Showcases: If you are getting trouble with bad results in phone scanning, try this out. Special thanks to paper GGGS ( which inspired us a lot! #GaussianSplatting #3DScan #CVPR2026

37,630 次观看

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: If you cannot get satisfying results with photogrammetry, please try this. If you cannot deal with transparent and reflection surfaces in 3DGS, please try this. Special thanks to our friend CJ. Most of the toolkits we used in our pipeline will be open-sourced by CJ later this year! #GaussianSplatting #3DScan #Photogrammetry #AI #SIGGRAPHAsia2024 #SIGGRAPH

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: If you cannot get satisfying results with photogrammetry, please try this. If you cannot deal with transparent and reflection surfaces in 3DGS, please try this. Special thanks to our friend CJ. Most of the toolkits we used in our pipeline will be open-sourced by CJ later this year! #GaussianSplatting #3DScan #Photogrammetry #AI #SIGGRAPHAsia2024 #SIGGRAPH

149,719 次观看

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 a file that contains one million gaussians, super smooth.

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 a file that contains one million gaussians, super smooth.

68,522 次观看

Let me share how the maps look like. Normal was estimated from the source image with StableNormal ( and Refined Depth came from promptDA ( + Lidar Depth. If you pause the video, you will see the differences in depths.

Let me share how the maps look like. Normal was estimated from the source image with StableNormal ( and Refined Depth came from promptDA ( + Lidar Depth. If you pause the video, you will see the differences in depths.

44,280 次观看

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

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

39,221 次观看

Ok, so, EDGS ( Let me share some testing insight about this work. Works well on front-facing video (now I know why they emphasize this), extracted a few views and matched with colmap, and trained very fast with dense initialization. If it's dense view, I tested with my existing data 290 camera poses, the training took 27 minutes on 4090. And the most annoying part is matching the poses. If you want fast, you need to have sparse input, but the sparse input cannot be easily matched with SFM. That is probably why the author put VGGT there but hasn't used it yet.

Ok, so, EDGS ( Let me share some testing insight about this work. Works well on front-facing video (now I know why they emphasize this), extracted a few views and matched with colmap, and trained very fast with dense initialization. If it's dense view, I tested with my existing data 290 camera poses, the training took 27 minutes on 4090. And the most annoying part is matching the poses. If you want fast, you need to have sparse input, but the sparse input cannot be easily matched with SFM. That is probably why the author put VGGT there but hasn't used it yet.

15,100 次观看

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