Загрузка видео...

Не удалось загрузить видео

На главную

This will change how sports content gets made and delivered. The method is Gaussian splatting. It takes video from multiple camera positions and rebuilds the whole thing in three dimensions, viewable from any angle. Instead of polygons (the way games render), it builds the scene from millions of tiny...

import_jmr's profile picture

James Morrison Rubin

7,212 subscribers

67,804 просмотров • 2 дней назад •via X (Twitter)

Наука и технологииСпорт
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

This is wild. Arcturus Studios is capturing real sports in full volumetric so you can explore the action from any angle. They surround the field with cameras and use Gaussian splatting to turn the game into a 3D experience. This is the future of sports.
0:56

This is wild. Arcturus Studios is capturing real sports in full volumetric so you can explore the action from any angle. They surround the field with cameras and use Gaussian splatting to turn the game into a 3D experience. This is the future of sports.

Justin Ryan

61,960 просмотров • 7 месяцев 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.
0:36

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

58,206 просмотров • 9 месяцев назад

🤖 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.
0:22

🤖 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

66,514 просмотров • 3 месяцев назад

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.
1:10

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.

SciTech Era

73,502 просмотров • 3 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
0:49

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

60,278 просмотров • 1 месяц назад

It’s a stylistic choice that takes cues from GOW, and a change from Fallen Order, but I really like it. The camera becomes “part of the crew” and allows for more dynamic blocking: in this scene, there’s a ton of intentional movement in an otherwise exposition-heavy conversation
3:57

It’s a stylistic choice that takes cues from GOW, and a change from Fallen Order, but I really like it. The camera becomes “part of the crew” and allows for more dynamic blocking: in this scene, there’s a ton of intentional movement in an otherwise exposition-heavy conversation

animatedjen

103,596 просмотров • 3 месяцев назад

Lanterns on the Logarithmic Sea Zeros and poles of a complex rational function R(z,t) drift across a 3D landscape carved from the logarithmic potential U(z,t)=log|R(z,t)|. Every ridge, valley, and glowing thread comes from the moving R(z,t), while the particles follow the tangent field of its level curves. The golden lantern ovals mark the singularities directly. So, the whole scene becomes a living map of where the function vanishes, where it blows up, and how the surrounding geometry bends in response.
0:55

Lanterns on the Logarithmic Sea Zeros and poles of a complex rational function R(z,t) drift across a 3D landscape carved from the logarithmic potential U(z,t)=log|R(z,t)|. Every ridge, valley, and glowing thread comes from the moving R(z,t), while the particles follow the tangent field of its level curves. The golden lantern ovals mark the singularities directly. So, the whole scene becomes a living map of where the function vanishes, where it blows up, and how the surrounding geometry bends in response.

Mathelirium

14,941 просмотров • 2 месяцев назад

SOMEONE JUST MADE TRAVEL AGENCIES OBSOLETE A guy walked through London with a camera on his head, uploaded a file, and now anyone on the planet can walk those same streets right in their browser without a ticket, hotel, or visa. Click -> you're there. Every cobblestone, every brick, every shadow between the buildings - exactly as it is in real life. The numbers break your brain: - Average London trip: $2,000-5,000 - Cost to make this scan: ~$200 - File size: smaller than a Netflix episode — File size: smaller than a Netflix episode The science is even wilder. It's called 3D Gaussian Splatting - instead of polygons like in video games, it uses millions of tiny glowing "splats" of color and depth, and AI reconstructs reality straight from your photos. The result opens on your phone and feels like teleportation. And the business opportunity is completely insane. People are already charging $500–2,000 per location for hotels, museums, restaurants, architecture firms - everyone wants this and almost nobody knows how to do it yet. One phone and one day in a city creates content that lives forever, and the whole thing is open source. London is no longer across the ocean. It's in your browser tab.
1:41

SOMEONE JUST MADE TRAVEL AGENCIES OBSOLETE A guy walked through London with a camera on his head, uploaded a file, and now anyone on the planet can walk those same streets right in their browser without a ticket, hotel, or visa. Click -> you're there. Every cobblestone, every brick, every shadow between the buildings - exactly as it is in real life. The numbers break your brain: - Average London trip: $2,000-5,000 - Cost to make this scan: ~$200 - File size: smaller than a Netflix episode — File size: smaller than a Netflix episode The science is even wilder. It's called 3D Gaussian Splatting - instead of polygons like in video games, it uses millions of tiny glowing "splats" of color and depth, and AI reconstructs reality straight from your photos. The result opens on your phone and feels like teleportation. And the business opportunity is completely insane. People are already charging $500–2,000 per location for hotels, museums, restaurants, architecture firms - everyone wants this and almost nobody knows how to do it yet. One phone and one day in a city creates content that lives forever, and the whole thing is open source. London is no longer across the ocean. It's in your browser tab.

Noisy

14,806 просмотров • 3 месяцев назад

🚨 SOMEONE JUST KILLED THE REAL ESTATE INDUSTRY A guy scanned an entire house with his phone. Uploaded it. Now anyone on Earth can walk through it in a browser tab. No app. No VR. No agent. No appointment. Click → you’re inside. Every room. Every angle. Every shadow. Photoreal. The numbers are insane: - Agent fee on a $500k home: $15,000 - Cost to make this scan: ~$200 - Time to “tour” 50 houses: one evening - File size: smaller than a TikTok The science is wild too: It’s called 3D Gaussian Splatting instead of polygons (how games render), it uses millions of tiny glowing “splats” of color and depth. AI reconstructs reality from your photos. The result loads on a phone and looks like you’re THERE. The grift opportunity is even wilder: Freelancers are already charging $300–$800 per scan for realtors, Airbnbs, venues, car dealers, museums. One person + one phone + one weekend = a business. 100% Open source. Built on PlayCanvas.
1:10

🚨 SOMEONE JUST KILLED THE REAL ESTATE INDUSTRY A guy scanned an entire house with his phone. Uploaded it. Now anyone on Earth can walk through it in a browser tab. No app. No VR. No agent. No appointment. Click → you’re inside. Every room. Every angle. Every shadow. Photoreal. The numbers are insane: - Agent fee on a $500k home: $15,000 - Cost to make this scan: ~$200 - Time to “tour” 50 houses: one evening - File size: smaller than a TikTok The science is wild too: It’s called 3D Gaussian Splatting instead of polygons (how games render), it uses millions of tiny glowing “splats” of color and depth. AI reconstructs reality from your photos. The result loads on a phone and looks like you’re THERE. The grift opportunity is even wilder: Freelancers are already charging $300–$800 per scan for realtors, Airbnbs, venues, car dealers, museums. One person + one phone + one weekend = a business. 100% Open source. Built on PlayCanvas.

ZoAina

1,520,521 просмотров • 3 месяцев назад

SOMEONE JUST KILLED THE REAL ESTATE INDUSTRY A guy scanned an entire house with his phone. Uploaded it. Now anyone on Earth can walk through it in a browser tab. No app. No VR. No agent. No appointment. Click → you’re inside. Every room. Every angle. Every shadow. Photoreal. The numbers are insane: - Agent fee on a $500k home: $15,000 - Cost to make this scan: ~$200 - Time to “tour” 50 houses: one evening - File size: smaller than a TikTok The science is wild too: It’s called 3D Gaussian Splatting instead of polygons (how games render), it uses millions of tiny glowing “splats” of color and depth. AI reconstructs reality from your photos. The result loads on a phone and looks like you’re THERE. The grift opportunity is even wilder: Freelancers are already charging $300–$800 per scan for realtors, Airbnbs, venues, car dealers, museums. One person + one phone + one weekend = a business. Open source. Built on PlayCanvas. Free GitHub:
1:10

SOMEONE JUST KILLED THE REAL ESTATE INDUSTRY A guy scanned an entire house with his phone. Uploaded it. Now anyone on Earth can walk through it in a browser tab. No app. No VR. No agent. No appointment. Click → you’re inside. Every room. Every angle. Every shadow. Photoreal. The numbers are insane: - Agent fee on a $500k home: $15,000 - Cost to make this scan: ~$200 - Time to “tour” 50 houses: one evening - File size: smaller than a TikTok The science is wild too: It’s called 3D Gaussian Splatting instead of polygons (how games render), it uses millions of tiny glowing “splats” of color and depth. AI reconstructs reality from your photos. The result loads on a phone and looks like you’re THERE. The grift opportunity is even wilder: Freelancers are already charging $300–$800 per scan for realtors, Airbnbs, venues, car dealers, museums. One person + one phone + one weekend = a business. Open source. Built on PlayCanvas. Free GitHub:

AdiiX

9,739,807 просмотров • 4 месяцев назад

WOW. 😳 Apple just quietly won the 3D maps war at WWDC. Gaussian Splatting is coming to Apple Maps Flyover this fall. Apple Maps Flyover covers 300+ cities. Until yesterday, every single one was built on standard drone photogrammetry. The technology captures photos from the air and reconstructs 3D geometry from them. Gaussian Splatting does not reconstruct geometry. It represents the scene as millions of tiny 3D ellipsoids, each one carrying its own color and opacity information based on how light actually behaves in that location. The output is not a mesh model. It is a field of light. When you move through it, it does not crumble at the edges. The detail holds because it was never geometry to begin with. Apple has been hiring for this for years. Their SHARP model, published in research last year, generates photorealistic 3D scenes from a single image in under a second. Google has more sensor data than anyone. More Street View cars, more satellites, more capture history. On navigation accuracy and geodata depth, Google Maps is still ahead by most measures. But fidelity in 3D city rendering is a different competition, and Apple just set a bar in that. Most people will experience this in the fall without knowing the name of the technology. They will open Flyover, look at a city they know, and notice it looks different. Real, not rendered. That is the moment Gaussian Splatting stops being a research term and becomes something a billion people use. Bookmark this. It will look prescient by October.
0:24

WOW. 😳 Apple just quietly won the 3D maps war at WWDC. Gaussian Splatting is coming to Apple Maps Flyover this fall. Apple Maps Flyover covers 300+ cities. Until yesterday, every single one was built on standard drone photogrammetry. The technology captures photos from the air and reconstructs 3D geometry from them. Gaussian Splatting does not reconstruct geometry. It represents the scene as millions of tiny 3D ellipsoids, each one carrying its own color and opacity information based on how light actually behaves in that location. The output is not a mesh model. It is a field of light. When you move through it, it does not crumble at the edges. The detail holds because it was never geometry to begin with. Apple has been hiring for this for years. Their SHARP model, published in research last year, generates photorealistic 3D scenes from a single image in under a second. Google has more sensor data than anyone. More Street View cars, more satellites, more capture history. On navigation accuracy and geodata depth, Google Maps is still ahead by most measures. But fidelity in 3D city rendering is a different competition, and Apple just set a bar in that. Most people will experience this in the fall without knowing the name of the technology. They will open Flyover, look at a city they know, and notice it looks different. Real, not rendered. That is the moment Gaussian Splatting stops being a research term and becomes something a billion people use. Bookmark this. It will look prescient by October.

Shruti

19,832 просмотров • 2 месяцев назад

THIS IS ARGUABLY THE GREATEST SCENE OF ALL TIME IN ANY MOVIE... AND IT JUST HAPPENS TO BE FROM A FINANCE MOVIE.
8:52

THIS IS ARGUABLY THE GREATEST SCENE OF ALL TIME IN ANY MOVIE... AND IT JUST HAPPENS TO BE FROM A FINANCE MOVIE.

Vivek Sen

660,225 просмотров • 1 месяц назад

HoloDreamer can generate enclosed 3D scenes from text descriptions! It does so by first creating a high-quality equirectangular panorama and then rapidly reconstructing the 3D scene using 3D Gaussian Splatting. Links ⬇️
0:36

HoloDreamer can generate enclosed 3D scenes from text descriptions! It does so by first creating a high-quality equirectangular panorama and then rapidly reconstructing the 3D scene using 3D Gaussian Splatting. Links ⬇️

Dreaming Tulpa 🥓👑

59,377 просмотров • 2 лет назад

Red Dead Redemption II (2016) is like the Antikythera Mechanism of video games, it should not exist in the time period it comes from. The multivariate level of depth and detail found in this open world has never been repeated in a game since. Truly an anomaly.
1:04

Red Dead Redemption II (2016) is like the Antikythera Mechanism of video games, it should not exist in the time period it comes from. The multivariate level of depth and detail found in this open world has never been repeated in a game since. Truly an anomaly.

Jay Anderson

65,532 просмотров • 1 год назад

Most generative models predict pixels. Predicting a 3D scene instead has many benefits: the scene won’t change if you look away and come back, and it obeys the basic physical rules of 3D geometry. The simplest way to visualize the 3D scene is a depth map, where each pixel is colored by its distance to the camera. 4/n
0:20

Most generative models predict pixels. Predicting a 3D scene instead has many benefits: the scene won’t change if you look away and come back, and it obeys the basic physical rules of 3D geometry. The simplest way to visualize the 3D scene is a depth map, where each pixel is colored by its distance to the camera. 4/n

World Labs

16,605 просмотров • 1 год назад

New in Notch 2026.2: fully interactive Gaussian Splats. Imported objects and environments can be lit, reflected, and cast shadows, sitting naturally alongside any other element in the production. In this sample, we used a splat of a library cafe with a few 3D objects dropped inside to show it in action. Grab the sample scene from the Launcher and try it for yourself. Splat by:
0:20

New in Notch 2026.2: fully interactive Gaussian Splats. Imported objects and environments can be lit, reflected, and cast shadows, sitting naturally alongside any other element in the production. In this sample, we used a splat of a library cafe with a few 3D objects dropped inside to show it in action. Grab the sample scene from the Launcher and try it for yourself. Splat by:

Notch

11,312 просмотров • 1 месяц назад

a lot of you asked how i made the portrait. i built a tool. it pulls your work from dribbble or your portfolio site, or a folder from your computer, and builds your portrait from it. make yours. link in the replies.
0:26

a lot of you asked how i made the portrait. i built a tool. it pulls your work from dribbble or your portfolio site, or a folder from your computer, and builds your portrait from it. make yours. link in the replies.

Vadim Carazan

30,114 просмотров • 1 месяц назад

SuperSplat's voxel collision is a game changer for 3D Gaussian splat creators. Generate a highly accurate, inescapable voxel representation of any splat, regardless of quality. Generation is performed on the GPU, so it's super-fast. The voxel representation is tiny - only 418KB for this scene. And all this magic is free and open source, courtesy of the splat-transform library from PlayCanvas.
0:50

SuperSplat's voxel collision is a game changer for 3D Gaussian splat creators. Generate a highly accurate, inescapable voxel representation of any splat, regardless of quality. Generation is performed on the GPU, so it's super-fast. The voxel representation is tiny - only 418KB for this scene. And all this magic is free and open source, courtesy of the splat-transform library from PlayCanvas.

Will Eastcott

12,653 просмотров • 3 месяцев назад

3D scanning and rendering is moving so fast - got my splats up and running and I'm mind blown getting ~100fps for this complex 3D scene ⬇️ 🤯 1. WAY faster than NeRF: For comparison, NeRFs would takes around 10 seconds per frame (!) Instead I'm zipping around with FPV controls without breaking a sweat - though I do crash a few times towards the end of the video lol 2. Old Meets New: Gaussian Splatting is cool in that it fuses classical graphics and deep learning techniques. Like NeRFs, this is still a radiance field - just without the slower (ne)ural rendering part. 3. Explicit Representation: Instead you represent a 3D scene as a collection of ellipsoidal "splats" called gaussians. Each gaussian has a position, size, and color. Rendering in real-time is done by projecting into the image plane and alpha blending. 4. Photorealistic Effects: Gaussian splatting use spherical harmonics to represent the view-dependent effects and lighting - allowing surfaces to change color when viewed from different angles, enabling greater photorealism. It doesn't use a neural network, but the training loop is similar to deep learning. 5. Enables Direct Editing: But it's not just speed - with Gaussian Splatting you also get 3D editing support! So you can select, move, and delete stuff, even relight stuff. This type of editing has been more tedious to do with NeRFs and their implicit black box representations. 📲 More tests cooking! Much more to unpack here including simpler explanations. If you enjoyed this post, you might enjoy my feed: Bilawal Sidhu
0:35

3D scanning and rendering is moving so fast - got my splats up and running and I'm mind blown getting ~100fps for this complex 3D scene ⬇️ 🤯 1. WAY faster than NeRF: For comparison, NeRFs would takes around 10 seconds per frame (!) Instead I'm zipping around with FPV controls without breaking a sweat - though I do crash a few times towards the end of the video lol 2. Old Meets New: Gaussian Splatting is cool in that it fuses classical graphics and deep learning techniques. Like NeRFs, this is still a radiance field - just without the slower (ne)ural rendering part. 3. Explicit Representation: Instead you represent a 3D scene as a collection of ellipsoidal "splats" called gaussians. Each gaussian has a position, size, and color. Rendering in real-time is done by projecting into the image plane and alpha blending. 4. Photorealistic Effects: Gaussian splatting use spherical harmonics to represent the view-dependent effects and lighting - allowing surfaces to change color when viewed from different angles, enabling greater photorealism. It doesn't use a neural network, but the training loop is similar to deep learning. 5. Enables Direct Editing: But it's not just speed - with Gaussian Splatting you also get 3D editing support! So you can select, move, and delete stuff, even relight stuff. This type of editing has been more tedious to do with NeRFs and their implicit black box representations. 📲 More tests cooking! Much more to unpack here including simpler explanations. If you enjoyed this post, you might enjoy my feed: Bilawal Sidhu

Bilawal Sidhu

337,090 просмотров • 3 лет назад

hard disagree - the “be better scene” in ragnarok is one of the best scenes in a story video game. it shows how much atreus has developed as a character and LEARNS from his father, the smile from Kratos seals the deal. it’s a beautiful scene, absolute cinema…
0:20

hard disagree - the “be better scene” in ragnarok is one of the best scenes in a story video game. it shows how much atreus has developed as a character and LEARNS from his father, the smile from Kratos seals the deal. it’s a beautiful scene, absolute cinema…

Timo

522,638 просмотров • 2 месяцев назад