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I'm testing tree generation using only two reference images. Basically, my Gaussian Splatting generation technique works with almost anything. I can't wait to see the final result once I’ve gathered a huge library of realistic assets for my game. For optimization, I’m planning to use a LOD system that...

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Alex

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30,425 görüntüleme • 17 gün önce •via X (Twitter)

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*Warning* the video is somewhat NSFW, I'm testing another new technique that can generate a Gaussian Splatting model using only three viewing angles! It already works, but there's still a kind of ghosting/doubling effect that I need to fix.
1:29

*Warning* the video is somewhat NSFW, I'm testing another new technique that can generate a Gaussian Splatting model using only three viewing angles! It already works, but there's still a kind of ghosting/doubling effect that I need to fix.

Alex

13,425 görüntüleme • 20 gün önce

📢 I’m testing ViggleAI new AI tool, PINOC, and it’s seriously impressive. You can create 3D Gaussian splatting models from just one image and animate them with a video! It’s the first AI I’ve tried that can animate Gaussian splatting models. I also talked to someone from Viggle, and they might add the option to import your own Gaussian splatting models and animate them. If that happens, I’ll probably make a video tutorial showing how to boost the detail level of a Gaussian splatting model by 4x to create highly realistic animated characters.
1:06

📢 I’m testing ViggleAI new AI tool, PINOC, and it’s seriously impressive. You can create 3D Gaussian splatting models from just one image and animate them with a video! It’s the first AI I’ve tried that can animate Gaussian splatting models. I also talked to someone from Viggle, and they might add the option to import your own Gaussian splatting models and animate them. If that happens, I’ll probably make a video tutorial showing how to boost the detail level of a Gaussian splatting model by 4x to create highly realistic animated characters.

Alex

29,281 görüntüleme • 23 gün önce

Gaussian Garments: Reconstructing Simulation-Ready Clothing with Photorealistic Appearance from Multi-View Video Contribution quote from the paper: In summary, our main contributions are • a comprehensive pipeline for reconstructing the shape, appearance, and behavior of real-world garments using Gaussian splatting, • an algorithm for registering garment meshes to multi- view videos with an optimization procedure based on Gaussian splatting, and • a Gaussian Garment representation that combines triangle meshes with Gaussian textures to capture photorealistic appearance and can be used as a fully controllable 3D asset.
0:20

Gaussian Garments: Reconstructing Simulation-Ready Clothing with Photorealistic Appearance from Multi-View Video Contribution quote from the paper: In summary, our main contributions are • a comprehensive pipeline for reconstructing the shape, appearance, and behavior of real-world garments using Gaussian splatting, • an algorithm for registering garment meshes to multi- view videos with an optimization procedure based on Gaussian splatting, and • a Gaussian Garment representation that combines triangle meshes with Gaussian textures to capture photorealistic appearance and can be used as a fully controllable 3D asset.

MrNeRF

27,275 görüntüleme • 1 yıl önce

Getting my hands dirty with 30 Gaussian splats scanned in my garden. Is this the most splats ever in a single shot? Made with the support of Lenovo Snapdragon and the new Gaussian Splatting plugin by irrealix
0:37

Getting my hands dirty with 30 Gaussian splats scanned in my garden. Is this the most splats ever in a single shot? Made with the support of Lenovo Snapdragon and the new Gaussian Splatting plugin by irrealix

Paul Trillo

90,911 görüntüleme • 1 yıl önce

Hosting a 3D Gaussian Splatting study session soon. Made a quick video comparing point cloud vs Gaussian Splats vs trained result, all with the same number of points. Hope it sparks some interest in #3DGS among the attendees.
1:51

Hosting a 3D Gaussian Splatting study session soon. Made a quick video comparing point cloud vs Gaussian Splats vs trained result, all with the same number of points. Hope it sparks some interest in #3DGS among the attendees.

Takashi Yoshinaga

17,375 görüntüleme • 1 ay önce

This is a next-generation reality capture system using 3D Gaussian Splatting to create photorealistic, walk-through digital models.
0:34

This is a next-generation reality capture system using 3D Gaussian Splatting to create photorealistic, walk-through digital models.

Eyisha Zyer

34,136 görüntüleme • 9 ay önce

I created a 3D Gaussian Splat of my kitchen using 1/3rd the images it used to take me by using NVIDIA AI Developer's 3DGRUT! I can now use 180 degree fisheye images and ray tracing to make detailed splats. The only reason the scene isn't sharper is because my input images weren't super sharp - when I took the images back in October, I was still learning to use the lens. I plan to make a "first reactions/overview video". Tutorial after that. For reference, this took 206 images and the ultrawide on my iPhone took 608 images to capture. #3D #AEC #Computervision
0:40

I created a 3D Gaussian Splat of my kitchen using 1/3rd the images it used to take me by using NVIDIA AI Developer's 3DGRUT! I can now use 180 degree fisheye images and ray tracing to make detailed splats. The only reason the scene isn't sharper is because my input images weren't super sharp - when I took the images back in October, I was still learning to use the lens. I plan to make a "first reactions/overview video". Tutorial after that. For reference, this took 206 images and the ultrawide on my iPhone took 608 images to capture. #3D #AEC #Computervision

Jonathan Stephens

30,617 görüntüleme • 1 yıl önce

Today, PlayCanvas is sharing a live demonstration of our Streaming LOD system for 3D Gaussian Splatting. Dynamically stream vast splat-based scenes of arbitrary complexity. 100% free. 100% open source. Demo link 👇 [1 / 2]
1:05

Today, PlayCanvas is sharing a live demonstration of our Streaming LOD system for 3D Gaussian Splatting. Dynamically stream vast splat-based scenes of arbitrary complexity. 100% free. 100% open source. Demo link 👇 [1 / 2]

PlayCanvas

122,562 görüntüleme • 7 ay 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.
0:31

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.

Bilawal Sidhu

61,567 görüntüleme • 7 ay önce

It's a bird. It's a plane. It's gaussian splatting. When Framestore needed to bring Kryptonian tech to Earth, they turned to gaussian splatting. In the recently released Superman, every shot of Kal-El's parents is a dynamic splat. I spoke to the team at Framestore about capturing the splats at Infinite-Realities and how they used CG Nomads GSOPs in SideFX's Houdini to help make the highest profile public use of gaussian splatting to date. Article
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It's a bird. It's a plane. It's gaussian splatting. When Framestore needed to bring Kryptonian tech to Earth, they turned to gaussian splatting. In the recently released Superman, every shot of Kal-El's parents is a dynamic splat. I spoke to the team at Framestore about capturing the splats at Infinite-Realities and how they used CG Nomads GSOPs in SideFX's Houdini to help make the highest profile public use of gaussian splatting to date. Article

Radiance Fields

102,814 görüntüleme • 9 ay önce

Instant Skinned Gaussian Avatars for Web, Mobile and VR Applications Short summary: In our system, we animate a background 3D mesh and have the Gaussian splats follow the mesh’s vertices. During preprocessing, splats are assigned to mesh vertices, and their relative transformations are stored. Once this data is saved, you can instantly use it in your applications without further preprocessing. At runtime, we animate the background 3D mesh, update the Gaussian splats in parallel, and resort all Gaussian splats every frame based on the viewer’s perspective.
1:10

Instant Skinned Gaussian Avatars for Web, Mobile and VR Applications Short summary: In our system, we animate a background 3D mesh and have the Gaussian splats follow the mesh’s vertices. During preprocessing, splats are assigned to mesh vertices, and their relative transformations are stored. Once this data is saved, you can instantly use it in your applications without further preprocessing. At runtime, we animate the background 3D mesh, update the Gaussian splats in parallel, and resort all Gaussian splats every frame based on the viewer’s perspective.

MrNeRF

66,016 görüntüleme • 7 ay önce

Drivable 3D Gaussian Avatars paper page: present Drivable 3D Gaussian Avatars (D3GA), the first 3D controllable model for human bodies rendered with Gaussian splats. Current photorealistic drivable avatars require either accurate 3D registrations during training, dense input images during testing, or both. The ones based on neural radiance fields also tend to be prohibitively slow for telepresence applications. This work uses the recently presented 3D Gaussian Splatting (3DGS) technique to render realistic humans at real-time framerates, using dense calibrated multi-view videos as input. To deform those primitives, we depart from the commonly used point deformation method of linear blend skinning (LBS) and use a classic volumetric deformation method: cage deformations. Given their smaller size, we drive these deformations with joint angles and keypoints, which are more suitable for communication applications. Our experiments on nine subjects with varied body shapes, clothes, and motions obtain higher-quality results than state-of-the-art methods when using the same training and test data.
6:20

Drivable 3D Gaussian Avatars paper page: present Drivable 3D Gaussian Avatars (D3GA), the first 3D controllable model for human bodies rendered with Gaussian splats. Current photorealistic drivable avatars require either accurate 3D registrations during training, dense input images during testing, or both. The ones based on neural radiance fields also tend to be prohibitively slow for telepresence applications. This work uses the recently presented 3D Gaussian Splatting (3DGS) technique to render realistic humans at real-time framerates, using dense calibrated multi-view videos as input. To deform those primitives, we depart from the commonly used point deformation method of linear blend skinning (LBS) and use a classic volumetric deformation method: cage deformations. Given their smaller size, we drive these deformations with joint angles and keypoints, which are more suitable for communication applications. Our experiments on nine subjects with varied body shapes, clothes, and motions obtain higher-quality results than state-of-the-art methods when using the same training and test data.

AK

327,022 görüntüleme • 2 yıl önce

PlayCanvas Engine v2.12.0 is here 🚀 Streamed LOD system for 3D Gaussian Splats enters beta. Supports the streaming of 100s of millions of Gaussians! Release Notes:
0:54

PlayCanvas Engine v2.12.0 is here 🚀 Streamed LOD system for 3D Gaussian Splats enters beta. Supports the streaming of 100s of millions of Gaussians! Release Notes:

PlayCanvas

34,396 görüntüleme • 7 ay önce

"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.
0:38

"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.

Alexandre Morgand

14,839 görüntüleme • 3 ay önce

BIG NEWS: Introducing SDF-Splats! 🚨 I just solved one of the biggest problems in 3D Gaussian Splatting: GAPS & HOLES! 🕳️❌ My hybrid approach combines: ✨ Explicit Gaussian Splats (for detail) ✨ Implicit SDFs (for continuity) The result? Seamless 3D reconstruction with NO visible holes, NO transparency artifacts, and REAL-TIME performance at 30-60 FPS! 🔥 Traditional Gaussian Splatting looks amazing but breaks apart in under-sampled regions. SDF-Splats fills every gap using on-demand raymarching through signed distance fields—zero preprocessing, zero neural nets, pure GPU magic! ⚡ Read the full research paper: #GaussianSplatting #SDF Radiance Fields MrNeRF #RealTime3D #VR #3DReconstruction #AIResearch
0:20

BIG NEWS: Introducing SDF-Splats! 🚨 I just solved one of the biggest problems in 3D Gaussian Splatting: GAPS & HOLES! 🕳️❌ My hybrid approach combines: ✨ Explicit Gaussian Splats (for detail) ✨ Implicit SDFs (for continuity) The result? Seamless 3D reconstruction with NO visible holes, NO transparency artifacts, and REAL-TIME performance at 30-60 FPS! 🔥 Traditional Gaussian Splatting looks amazing but breaks apart in under-sampled regions. SDF-Splats fills every gap using on-demand raymarching through signed distance fields—zero preprocessing, zero neural nets, pure GPU magic! ⚡ Read the full research paper: #GaussianSplatting #SDF Radiance Fields MrNeRF #RealTime3D #VR #3DReconstruction #AIResearch

Daniel Skaale

21,031 görüntüleme • 6 ay önce

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.
2:32

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.

むっちゃん

90,180 görüntüleme • 1 ay önce

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
0:22

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

52,449 görüntüleme • 2 yıl önce

From 2 second (faster on higher end GPUs) Gaussian splat generations, using Apple's "Sharp Monocular View Synthesis in Less Than a Second" code, running locally on my system. Imported into Octane Render 2026 which has fully path traced rendering of Gaussian splats. Stuff like this is why I've been so excited to see where Gaussian splatting research would go. Combined with a real-time Generative AI "renderer" this stuff could start to get quite insane. Combined with Dreams it would be even better ofc :D Code to the Apple code in the comments below.
0:33

From 2 second (faster on higher end GPUs) Gaussian splat generations, using Apple's "Sharp Monocular View Synthesis in Less Than a Second" code, running locally on my system. Imported into Octane Render 2026 which has fully path traced rendering of Gaussian splats. Stuff like this is why I've been so excited to see where Gaussian splatting research would go. Combined with a real-time Generative AI "renderer" this stuff could start to get quite insane. Combined with Dreams it would be even better ofc :D Code to the Apple code in the comments below.

Martin Nebelong

36,774 görüntüleme • 5 ay önce

DiffSplat Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation DiffSplat is a generative framework to synthesize 3D Gaussian Splats from text prompts & single-view images in ⚡️ 1~2 seconds. It is fine-tuned directly from a pretrained text-to-image diffusion model.
0:24

DiffSplat Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation DiffSplat is a generative framework to synthesize 3D Gaussian Splats from text prompts & single-view images in ⚡️ 1~2 seconds. It is fine-tuned directly from a pretrained text-to-image diffusion model.

AK

38,416 görüntüleme • 1 yıl önce

Big news I found a way to convert Gaussian Splatting into a standard mesh while preserving all the visual advantages of Gaussian Splatting, such as reflections, shadows, and lighting that changes depending on the viewing angle. The result is excellent performance, even on an old laptop or a VR headset. And of course, the mesh can be animated like any regular 3D mesh, while still keeping the visual benefits of GS. I’ll soon show a full-body character animated using this technique.
1:30

Big news I found a way to convert Gaussian Splatting into a standard mesh while preserving all the visual advantages of Gaussian Splatting, such as reflections, shadows, and lighting that changes depending on the viewing angle. The result is excellent performance, even on an old laptop or a VR headset. And of course, the mesh can be animated like any regular 3D mesh, while still keeping the visual benefits of GS. I’ll soon show a full-body character animated using this technique.

Alex

36,708 görüntüleme • 15 gün önce