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Thats awesome! A developer used Al-powered 4D Gaussian Splatting to convert flat video footage into dynamic 3D spatial scenes. The system reconstructs different camera angles and depth information from ordinary footage, making it possible to navigate scenes in three dimensions. We're moving from recording video to digitally recreating reality itself.

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SciTech Era

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73,502 просмотров • 2 месяцев назад •via X (Twitter)

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🤖 wake up, new 4d tool! Take any normal 2D video → instantly turn it into fully explorable 3D space. You can now orbit, tilt, and view the scene from angles that literally never existed in the original footage. This is 4D Gaussian Splatting (from 4dv) and it’s next-level.
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🤖 wake up, new 4d tool! Take any normal 2D video → instantly turn it into fully explorable 3D space. You can now orbit, tilt, and view the scene from angles that literally never existed in the original footage. This is 4D Gaussian Splatting (from 4dv) and it’s next-level.

filipe

66,488 просмотров • 2 месяцев назад

A video is compressed 4D data. 🌍 Today, we’re sharing a preview of our latest research: 4D reconstruction from a single monocular video. 🎬 From one casually captured video, our system reconstructs a dynamic, freely viewable 4D Gaussian scene—recovering geometry, appearance, camera motion, and object motion across space and time. No multi-camera rig. Just video → 4DGS. The world has already been captured in video. The next step is to unlock the 4D structure inside it. Watch the result below. 👇 #4DGS #GaussianSplatting #CVPR #CVPR2026 #AIGC #AI #3DGS
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A video is compressed 4D data. 🌍 Today, we’re sharing a preview of our latest research: 4D reconstruction from a single monocular video. 🎬 From one casually captured video, our system reconstructs a dynamic, freely viewable 4D Gaussian scene—recovering geometry, appearance, camera motion, and object motion across space and time. No multi-camera rig. Just video → 4DGS. The world has already been captured in video. The next step is to unlock the 4D structure inside it. Watch the result below. 👇 #4DGS #GaussianSplatting #CVPR #CVPR2026 #AIGC #AI #3DGS

InSpatio｜影溯

60,039 просмотров • 22 дней назад

4D videos, are we cooked? 😳 uses 4D Gaussian Splatting to reconstruct real footage into fully explorable scenes, letting you move the camera freely through a moment after it’s been filmed. Combine it with tools like Seedance for character replacement and motion control, and Beeble for relighting, and you unlock entire cinematic workflows. You can even step inside your scenes in augmented reality with the Apple Vision Pro. #4DVAI #GaussianSplatting #AIVideoWorkflow #CreativeAI #SpatialVideo
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4D videos, are we cooked? 😳 uses 4D Gaussian Splatting to reconstruct real footage into fully explorable scenes, letting you move the camera freely through a moment after it’s been filmed. Combine it with tools like Seedance for character replacement and motion control, and Beeble for relighting, and you unlock entire cinematic workflows. You can even step inside your scenes in augmented reality with the Apple Vision Pro. #4DVAI #GaussianSplatting #AIVideoWorkflow #CreativeAI #SpatialVideo

Rourke Heath

69,082 просмотров • 27 дней назад

Here is some new footage from this paper, offering a glimpse into the future of dynamic 3D Gaussian Splatting models combined with static reconstructed scenes. Imagine this: when the lighting matches, the result becomes practically indistinguishable from reality. Just pick a scene, add characters, and record it from any angle. Apply diffusion models to instantly change the look. I firmly believe this is the future of VFX.
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Here is some new footage from this paper, offering a glimpse into the future of dynamic 3D Gaussian Splatting models combined with static reconstructed scenes. Imagine this: when the lighting matches, the result becomes practically indistinguishable from reality. Just pick a scene, add characters, and record it from any angle. Apply diffusion models to instantly change the look. I firmly believe this is the future of VFX.

MrNeRF

57,843 просмотров • 9 месяцев назад

Introducing 👀Stereo4D👀 A method for mining 4D from internet stereo videos. It enables large-scale, high-quality, dynamic, *metric* 3D reconstructions, with camera poses and long-term 3D motion trajectories. We used Stereo4D to make a dataset of over 100k real-world 4D scenes.
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Introducing 👀Stereo4D👀 A method for mining 4D from internet stereo videos. It enables large-scale, high-quality, dynamic, *metric* 3D reconstructions, with camera poses and long-term 3D motion trajectories. We used Stereo4D to make a dataset of over 100k real-world 4D scenes.

Linyi Jin

94,588 просмотров • 1 год назад

More and more users are turning their 360 footage into fully explorable 3D Gaussian Splats with View it here: This reconstruction started from a simple capture and is now a fully explorable 3D Gaussian Splat rendered in the FreeGaussian viewer, complete with point cloud reconstruction and high-fidelity spatial detail. More and more creators are discovering that their existing footage can become immersive 3D scenes. And they’re doing it for free with FreeGaussian
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More and more users are turning their 360 footage into fully explorable 3D Gaussian Splats with View it here: This reconstruction started from a simple capture and is now a fully explorable 3D Gaussian Splat rendered in the FreeGaussian viewer, complete with point cloud reconstruction and high-fidelity spatial detail. More and more creators are discovering that their existing footage can become immersive 3D scenes. And they’re doing it for free with FreeGaussian

Over the Reality 🌐

14,759 просмотров • 3 месяцев назад

We’ve upgraded Stable Video Diffusion 4D to Stable Video 4D 2.0 (SV4D 2.0), improving the quality of 4D outputs generated from a single object-centric video. While 3D provides a static view of an object’s shape and size; 4D extends this by including time, showing how the object moves. This multi-view video diffusion model generates a 4D output in three steps: 1️⃣ Starts with an input video of a moving person or object 2️⃣ Generates novel views of the subject from unseen angles 3️⃣ Constructs a single dynamic 4D video output with spatial and temporal consistency You can learn more here: (1/4)
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We’ve upgraded Stable Video Diffusion 4D to Stable Video 4D 2.0 (SV4D 2.0), improving the quality of 4D outputs generated from a single object-centric video. While 3D provides a static view of an object’s shape and size; 4D extends this by including time, showing how the object moves. This multi-view video diffusion model generates a 4D output in three steps: 1️⃣ Starts with an input video of a moving person or object 2️⃣ Generates novel views of the subject from unseen angles 3️⃣ Constructs a single dynamic 4D video output with spatial and temporal consistency You can learn more here: (1/4)

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⚡Say hello to Wonder Animation⚡ - Kickstart your animated project with groundbreaking Video to 3D Scene technology. Convert live footage into 3D scenes with all camera setups, character body and face animation, and fully editable elements in one 3D space. Discover your next level of creativity today! 👉Learn more: #Animation #3D #WonderStudio #WonderDynamics
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⚡Say hello to Wonder Animation⚡ - Kickstart your animated project with groundbreaking Video to 3D Scene technology. Convert live footage into 3D scenes with all camera setups, character body and face animation, and fully editable elements in one 3D space. Discover your next level of creativity today! 👉Learn more: #Animation #3D #WonderStudio #WonderDynamics

Autodesk Flow Studio

349,739 просмотров • 1 год назад

From 2D video to a very rough 4D Gaussian Splatting POC on the Apple Vision Pro 👀 Took Big Buck Bunny frames, turned them into Gaussian splats with Sharp (Apple), compressed them with PlayCanvas splat transform to SOG, and played all frames via WebXR + spark Still rough and not fully optimized, but wow, dynamic GS in AVP feels wild 🤯 Second part of the video is on my laptop #threejs
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From 2D video to a very rough 4D Gaussian Splatting POC on the Apple Vision Pro 👀 Took Big Buck Bunny frames, turned them into Gaussian splats with Sharp (Apple), compressed them with PlayCanvas splat transform to SOG, and played all frames via WebXR + spark Still rough and not fully optimized, but wow, dynamic GS in AVP feels wild 🤯 Second part of the video is on my laptop #threejs

Stijn Spanhove

20,127 просмотров • 7 месяцев назад

🏗️ Applied Showcase: Photorealistic 3D scenes from video, running entirely in your browser. Gauzilla Pro (Gauzilla Pro) turns drone and smartphone footage into navigable digital twins with AI-powered segmentation. The platform runs on WebAssembly with no CUDA or Python installs. The core renderer is open-source Rust if you want to see how the splatting math actually works. 🔗 #GaussianSplatting #DigitalTwins #WebAssembly #3DReconstruction #AEC
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🏗️ Applied Showcase: Photorealistic 3D scenes from video, running entirely in your browser. Gauzilla Pro (Gauzilla Pro) turns drone and smartphone footage into navigable digital twins with AI-powered segmentation. The platform runs on WebAssembly with no CUDA or Python installs. The core renderer is open-source Rust if you want to see how the splatting math actually works. 🔗 #GaussianSplatting #DigitalTwins #WebAssembly #3DReconstruction #AEC

WebGL / WebGPU

18,677 просмотров • 6 месяцев назад

Introducing powered by Over the Reality. FreeGaussian is a new way to transform your existing photos, videos, and 360 captures for free into high-quality 3D Gaussian splats, directly in your browser. Whether you already have: ↳ a 360 recording captured with any 360 camera ↳ a set of photos ↳ or even a simple video from a place you visited you can now turn it into a photorealistic 3D Gaussian splat. Just go to upload your content, and let the reconstruction happen. Once it’s ready, you can download your 3D Gaussian splat and point cloud, and use them across your own projects, pipelines, or applications.
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Introducing powered by Over the Reality. FreeGaussian is a new way to transform your existing photos, videos, and 360 captures for free into high-quality 3D Gaussian splats, directly in your browser. Whether you already have: ↳ a 360 recording captured with any 360 camera ↳ a set of photos ↳ or even a simple video from a place you visited you can now turn it into a photorealistic 3D Gaussian splat. Just go to upload your content, and let the reconstruction happen. Once it’s ready, you can download your 3D Gaussian splat and point cloud, and use them across your own projects, pipelines, or applications.

Over the Reality 🌐

86,291 просмотров • 3 месяцев назад

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.
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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

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Celebrating 25 Years of That’s the Way It Is! To mark this milestone, we’re thrilled to share this rare footage from the making of this iconic music video. Witness the magic behind the scenes and relive the moments that made history. ✨ Dive into the magic: P.S. Don’t forget to watch the official video, it’s now in HD!
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Celebrating 25 Years of That’s the Way It Is! To mark this milestone, we’re thrilled to share this rare footage from the making of this iconic music video. Witness the magic behind the scenes and relive the moments that made history. ✨ Dive into the magic: P.S. Don’t forget to watch the official video, it’s now in HD!

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Robot Learning needs 4D world models! Robot Learning needs 4D world models! Robot Learning needs 4D world models! We introduce TesserAct, a 4D embodied world model that can simulate how agents interact with the 3D world over time! We achieve this by simply extending a pre-trained 2D video generation model to jointly predict RGB, depth, and surface normals. It enables: 1️⃣ Much better policy learning in the wild 2️⃣ Temporal + spatial coherence in 4D dynamic prediction 3️⃣ Novel view synthesis for embodied scenes Code: Paper Link: Project page:
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Robot Learning needs 4D world models! Robot Learning needs 4D world models! Robot Learning needs 4D world models! We introduce TesserAct, a 4D embodied world model that can simulate how agents interact with the 3D world over time! We achieve this by simply extending a pre-trained 2D video generation model to jointly predict RGB, depth, and surface normals. It enables: 1️⃣ Much better policy learning in the wild 2️⃣ Temporal + spatial coherence in 4D dynamic prediction 3️⃣ Novel view synthesis for embodied scenes Code: Paper Link: Project page:

Chuang Gan

43,265 просмотров • 1 год назад

GPS-Gaussian+: Generalizable Pixel-wise 3D Gaussian Splatting for Real-Time Human-Scene Rendering from Sparse Views TL;DR: Are we witnessing the first steps towards 3DGS live streaming? Contributions: • We introduce a generalizable 3D Gaussian Splatting methodology that employs pixel-wise Gaussian parameter maps defined on 2D source image planes to formulate 3D Gaussians in a feed-forward manner. • We propose a fully differentiable framework composed of an iterative depth estimation module and a Gaussian parameter regression module. The intermediate depth prediction bridges the two components and allows them to benefit from joint training. • We introduce a regularization term and an epipolar attention mechanism to preserve geometry consistency between the two source views when using only rendering loss. Our method generalizes well to unseen characters even in complicated scenes. • We develop a real-time FVV system that achieves high-resolution rendering of characters in the scene without any geometry supervision.
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GPS-Gaussian+: Generalizable Pixel-wise 3D Gaussian Splatting for Real-Time Human-Scene Rendering from Sparse Views TL;DR: Are we witnessing the first steps towards 3DGS live streaming? Contributions: • We introduce a generalizable 3D Gaussian Splatting methodology that employs pixel-wise Gaussian parameter maps defined on 2D source image planes to formulate 3D Gaussians in a feed-forward manner. • We propose a fully differentiable framework composed of an iterative depth estimation module and a Gaussian parameter regression module. The intermediate depth prediction bridges the two components and allows them to benefit from joint training. • We introduce a regularization term and an epipolar attention mechanism to preserve geometry consistency between the two source views when using only rendering loss. Our method generalizes well to unseen characters even in complicated scenes. • We develop a real-time FVV system that achieves high-resolution rendering of characters in the scene without any geometry supervision.

MrNeRF

25,862 просмотров • 1 год назад

Our new Gaussian point splatting renders huge 3DGS scenes in real time (e.g. 425 M⬇️). It samples pixel-sized points from the Gaussians with massive parallelism and splats them to the screen using 64-bit atomics. Grab ACM SIGGRAPH 2026 paper+code+video now:
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Our new Gaussian point splatting renders huge 3DGS scenes in real time (e.g. 425 M⬇️). It samples pixel-sized points from the Gaussians with massive parallelism and splats them to the screen using 64-bit atomics. Grab ACM SIGGRAPH 2026 paper+code+video now:

Christoph Peters

22,818 просмотров • 2 месяцев назад

Runway Aleph is a new way to edit, transform and generate video. Its ability to perform a wide range of generalized tasks means it can reimagine ordinary footage in endless new ways. Allowing you to turn images and videos you already have into anything you want. See below for a quick breakdown on how Aleph can effortlessly remove the subject from these scenes, just by asking it to.
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Runway Aleph is a new way to edit, transform and generate video. Its ability to perform a wide range of generalized tasks means it can reimagine ordinary footage in endless new ways. Allowing you to turn images and videos you already have into anything you want. See below for a quick breakdown on how Aleph can effortlessly remove the subject from these scenes, just by asking it to.

Runway

37,873 просмотров • 11 месяцев назад

📢 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:

Sherwin Bahmani

66,702 просмотров • 10 месяцев назад

The greatest Gaussian Splatting VR demo ever? Captured live at NVIDIA GTC — Mariya Sha experiencing 4D Gaussian Splatting in VR for the very first time. You can tell just from her reaction that this was something else! The scene was optimized using QUEEN, NVIDIA AI Developer's advanced research project for fast radiance field rendering. It’s an incredible look at what happens when high fidelity static and dynamic gaussian splats meets VR. Watch the full video on YouTube: Robert Scoble Did you get to do this one? #VR #3D #VFX
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The greatest Gaussian Splatting VR demo ever? Captured live at NVIDIA GTC — Mariya Sha experiencing 4D Gaussian Splatting in VR for the very first time. You can tell just from her reaction that this was something else! The scene was optimized using QUEEN, NVIDIA AI Developer's advanced research project for fast radiance field rendering. It’s an incredible look at what happens when high fidelity static and dynamic gaussian splats meets VR. Watch the full video on YouTube: Robert Scoble Did you get to do this one? #VR #3D #VFX

Jonathan Stephens

28,114 просмотров • 1 год назад

Beeble has released #SwitchLight 3.0, the new version of its video-to-PBR AI model It extracts #PBR texture maps from video, making it possible to relight live footage - and is now available for use offline, as well as in Beeble's browser app Beeble
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Beeble has released #SwitchLight 3.0, the new version of its video-to-PBR AI model It extracts #PBR texture maps from video, making it possible to relight live footage - and is now available for use offline, as well as in Beeble's browser app Beeble

CG Channel

92,955 просмотров • 9 месяцев назад