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Interactive 4D Time-Lapse for #VDC in #Construction / #AEC Gauzilla Pro allows for creating a 4D time-lapse from a series of videos. You can convert drone footage into an interactive historical record in 4D running 100% on the web. ✅ 4D time-lapse drastically reduces the need for physical site...

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Gauzilla Pro

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14,432 görüntüleme • 1 ay önce •via X (Twitter)

#VDC#Construction#AEC
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4D LangSplat: 4D Language Gaussian Splatting via Multimodal Large Language Models Contributions: • We introduce 4D LangSplat for open-vocabulary 4D spatial-temporal queries. To the best of our knowledge, we are the first to construct 4D language fields with object textual captions generated by MLLMs. • To model smooth transitions across states for objects in 4D scenes, we propose a status deformable network to capture continuous temporal changes. • Experiential results show that our method attains state-of-the-art performance for both time-agnostic and time-sensitive open-vocabulary queries.
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4D LangSplat: 4D Language Gaussian Splatting via Multimodal Large Language Models Contributions: • We introduce 4D LangSplat for open-vocabulary 4D spatial-temporal queries. To the best of our knowledge, we are the first to construct 4D language fields with object textual captions generated by MLLMs. • To model smooth transitions across states for objects in 4D scenes, we propose a status deformable network to capture continuous temporal changes. • Experiential results show that our method attains state-of-the-art performance for both time-agnostic and time-sensitive open-vocabulary queries.

MrNeRF

10,961 görüntüleme • 1 yıl önce

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)

Stability AI

36,021 görüntüleme • 1 yıl önce

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 görüntüleme • 1 yıl önce

4DGT: Learning a 4D Gaussian Transformer Using Real-World Monocular Videos Abstract: We propose 4DGT, a 4D Gaussian-based Transformer model for dynamic scene reconstruction, trained entirely on real-world monocular posed videos. Using 4D Gaussian as an inductive bias, 4DGT unifies static and dynamic components, enabling the modeling of complex, time-varying environments with varying object lifespans. We introduced a novel density control strategy in training, which allows our 4DGT to handle longer space-time input while maintaining efficient rendering at runtime. Our model processes 64 consecutive posed frames in a rolling-window fashion, predicting consistent 4D Gaussians in the scene. Unlike optimization-based methods, 4DGT performs purely feed-forward inference, reducing reconstruction time from hours to seconds and scaling effectively to long video sequences. Trained only on large-scale monocular posed video datasets, 4DGT can significantly outperform prior Gaussian-based networks in real-world videos and achieve on-par accuracy with optimization-based methods on cross-domain videos.
5:19

4DGT: Learning a 4D Gaussian Transformer Using Real-World Monocular Videos Abstract: We propose 4DGT, a 4D Gaussian-based Transformer model for dynamic scene reconstruction, trained entirely on real-world monocular posed videos. Using 4D Gaussian as an inductive bias, 4DGT unifies static and dynamic components, enabling the modeling of complex, time-varying environments with varying object lifespans. We introduced a novel density control strategy in training, which allows our 4DGT to handle longer space-time input while maintaining efficient rendering at runtime. Our model processes 64 consecutive posed frames in a rolling-window fashion, predicting consistent 4D Gaussians in the scene. Unlike optimization-based methods, 4DGT performs purely feed-forward inference, reducing reconstruction time from hours to seconds and scaling effectively to long video sequences. Trained only on large-scale monocular posed video datasets, 4DGT can significantly outperform prior Gaussian-based networks in real-world videos and achieve on-par accuracy with optimization-based methods on cross-domain videos.

MrNeRF

34,782 görüntüleme • 1 yıl önce

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

68,597 görüntüleme • 18 gün önce

Time-lapse of Emma the squirrel bringing in her blankets, carefully arranging her bed, and getting ready for a nap
1:00

Time-lapse of Emma the squirrel bringing in her blankets, carefully arranging her bed, and getting ready for a nap

Nature Unedited

529,314 görüntüleme • 26 gün önce

Time-lapse of Emma the squirrel bringing in her blankets, carefully arranging her bed, and getting ready for a nap
1:00

Time-lapse of Emma the squirrel bringing in her blankets, carefully arranging her bed, and getting ready for a nap

Nature Unedited

1,004,759 görüntüleme • 2 ay önce

A solid 60-second time lapse of Sofi Staidum in LA converting its field for the World Cup. Cost ~$5 million and took 6 weeks.
0:58

A solid 60-second time lapse of Sofi Staidum in LA converting its field for the World Cup. Cost ~$5 million and took 6 weeks.

Trung Phan

1,398,338 görüntüleme • 2 ay önce

Meet our inhouse tech Doggo "Rolo". Cinematic RGB Lighting "More Doggo than Doggo" Since July we've been redesigning our scanning pipeline to work with the amazing 3D Gaussian Splatting for Real-Time Radiance Field Rendering method from Inria. IR's AeonX capture system has been designed to capture "Spatial" memories for the future. We've built on a custom version of Inria's Sibr viewer to handle the playback of our multiple processed 4D frames. GS has reignited our passion for 3D/4D scanning. Thank you to the team at Inria More content to come. #guassiansplatting #ir #aeonx #4d #motionscanning #inria #ximea #idatronic #spatial #youth83
1:57

Meet our inhouse tech Doggo "Rolo". Cinematic RGB Lighting "More Doggo than Doggo" Since July we've been redesigning our scanning pipeline to work with the amazing 3D Gaussian Splatting for Real-Time Radiance Field Rendering method from Inria. IR's AeonX capture system has been designed to capture "Spatial" memories for the future. We've built on a custom version of Inria's Sibr viewer to handle the playback of our multiple processed 4D frames. GS has reignited our passion for 3D/4D scanning. Thank you to the team at Inria More content to come. #guassiansplatting #ir #aeonx #4d #motionscanning #inria #ximea #idatronic #spatial #youth83

Infinite-Realities

98,702 görüntüleme • 3 yıl önce

There is a LOT to unpack in this clip. 1) Scheyer plays 4D chess. He had answers for everything Oats tried. Roster construction and brilliance. 2) Duke is almost impossible to prep for in an NCAA tournament setting, ESPECIALLY if you’re in the second game of the pod.
1:05

There is a LOT to unpack in this clip. 1) Scheyer plays 4D chess. He had answers for everything Oats tried. Roster construction and brilliance. 2) Duke is almost impossible to prep for in an NCAA tournament setting, ESPECIALLY if you’re in the second game of the pod.

D.H.

946,045 görüntüleme • 1 yıl önce

White Light Reference for Machine Learning. Meet our inhouse tech Doggo "Rolo". "More Doggo than Doggo" Since July we've been redesigning our scanning pipeline to work with the new 3D Gaussian Splatting for Real-Time Radiance Field Rendering method from Inria. IR's AeonX capture system has been designed to capture "Spatial" memories for the future. We've built on a custom version of Inria's Sibr viewer to handle the playback of our multiple processed 4D frames. GS has reignited our passion for 3D/4D scanning. Thank you to the team at Inria More content to come.. #guassiansplatting #ir #aeonx #4d #motionscanning #inria #ximea #idatronic #spatial #youth83
1:16

White Light Reference for Machine Learning. Meet our inhouse tech Doggo "Rolo". "More Doggo than Doggo" Since July we've been redesigning our scanning pipeline to work with the new 3D Gaussian Splatting for Real-Time Radiance Field Rendering method from Inria. IR's AeonX capture system has been designed to capture "Spatial" memories for the future. We've built on a custom version of Inria's Sibr viewer to handle the playback of our multiple processed 4D frames. GS has reignited our passion for 3D/4D scanning. Thank you to the team at Inria More content to come.. #guassiansplatting #ir #aeonx #4d #motionscanning #inria #ximea #idatronic #spatial #youth83

Infinite-Realities

236,811 görüntüleme • 3 yıl önce

Check out 𝐌𝐨𝐭𝐢𝐨𝐧𝟐𝐕𝐞𝐜𝐒𝐞𝐭𝐬, a 4D diffusion model for dynamic surface reconstruction from imperfect observations of sparse, noisy, or partial point clouds. Main idea: we represent time-varying shapes via 4D neural representation with latent vector sets, and then explicitly learns the shape and motion distribution of non-rigid objects through an iterative denoising process of latent vector sets. Great work by Wei Cao るちゃん Biao Zhang Jiapeng Tang
0:32

Check out 𝐌𝐨𝐭𝐢𝐨𝐧𝟐𝐕𝐞𝐜𝐒𝐞𝐭𝐬, a 4D diffusion model for dynamic surface reconstruction from imperfect observations of sparse, noisy, or partial point clouds. Main idea: we represent time-varying shapes via 4D neural representation with latent vector sets, and then explicitly learns the shape and motion distribution of non-rigid objects through an iterative denoising process of latent vector sets. Great work by Wei Cao るちゃん Biao Zhang Jiapeng Tang

Matthias Niessner

29,142 görüntüleme • 2 yıl önce

Yesterday, the 540th Anti-Aircraft Missile Brigade — which has just received the 7th IRIS-T SLM fire unit Germany has delivered to #Ukraine — has shared a video featuring IRIS-T SLM launchers, a TRML-4D air surveillance radar and an IRIS-T SLS launcher. Thanks to StepanS, I'm able to provide you with subtitles for this video, which features the longest and most detailed footage of the TRML-4D air surveillance radar in Ukraine yet!
1:08

Yesterday, the 540th Anti-Aircraft Missile Brigade — which has just received the 7th IRIS-T SLM fire unit Germany has delivered to #Ukraine — has shared a video featuring IRIS-T SLM launchers, a TRML-4D air surveillance radar and an IRIS-T SLS launcher. Thanks to StepanS, I'm able to provide you with subtitles for this video, which features the longest and most detailed footage of the TRML-4D air surveillance radar in Ukraine yet!

German Aid to Ukraine

25,262 görüntüleme • 1 yıl önce

Installing a game changer. ⏱️ 👀 time lapse of the ASB GlassFloor install as we prepare to host the Big 12 on the first interactive glass court in the country. Thanks to the T-Mobile Center Ops Team for the long hours and teamwork it takes to bring innovation like this to KC!
0:22

Installing a game changer. ⏱️ 👀 time lapse of the ASB GlassFloor install as we prepare to host the Big 12 on the first interactive glass court in the country. Thanks to the T-Mobile Center Ops Team for the long hours and teamwork it takes to bring innovation like this to KC!

T-Mobile Center

36,030 görüntüleme • 5 ay önce

"More Doggo than Doggo" Motion scanned @ 60fps. Playing back @ 20fps. Meet our inhouse tech Doggo "Rolo". Since July we've been redesigning our scanning pipeline to work with the new 3D Gaussian Splatting for Real-Time Radiance Field Rendering method from Inria. GS has reignited our passion for 3D/4D scanning. Thank you to the team at Inria IR's AeonX capture system has been designed to capture "Spatial" memories for the future. We've built on a custom version of Inria's Sibr viewer to handle the playback of our multiple processed 4D frames. Our next goal is to optimize the player to be multi-threaded to improve performance over 60fps. GS has reignited our passion for 3D/4D scanning. Thank you to the team at Inria More content to come. #guassiansplatting #ir #aeonx #4d #motionscanning #inria #ximea #idatronic #spatial #youth83
0:41

"More Doggo than Doggo" Motion scanned @ 60fps. Playing back @ 20fps. Meet our inhouse tech Doggo "Rolo". Since July we've been redesigning our scanning pipeline to work with the new 3D Gaussian Splatting for Real-Time Radiance Field Rendering method from Inria. GS has reignited our passion for 3D/4D scanning. Thank you to the team at Inria IR's AeonX capture system has been designed to capture "Spatial" memories for the future. We've built on a custom version of Inria's Sibr viewer to handle the playback of our multiple processed 4D frames. Our next goal is to optimize the player to be multi-threaded to improve performance over 60fps. GS has reignited our passion for 3D/4D scanning. Thank you to the team at Inria More content to come. #guassiansplatting #ir #aeonx #4d #motionscanning #inria #ximea #idatronic #spatial #youth83

Infinite-Realities

48,330 görüntüleme • 3 yıl önce

For anyone doubting the importance of using ground-penetrating radar in the construction zone, here is a time-lapse from 7 a.m. to 1 p.m. on February 26th. It shows the sheer amount of heavy equipment and dirt being moved even while the search for Sebastian Rogers was ongoing. The activity never stopped.
1:59

For anyone doubting the importance of using ground-penetrating radar in the construction zone, here is a time-lapse from 7 a.m. to 1 p.m. on February 26th. It shows the sheer amount of heavy equipment and dirt being moved even while the search for Sebastian Rogers was ongoing. The activity never stopped.

SF INVESTIGATES • STEVE FISCHER

11,046 görüntüleme • 1 yıl önce

Time lapse of Tim Seeley's in black bag cover for MONEY SHOT BIG BANG #1. A new series with Garth Graham - New Book on Kickstarter! and Patton Oswalt coming in 2025! Have you preordered your copy of the #0 one shot yet!? #MoneyShot #VaultComics #scificomics
1:31

Time lapse of Tim Seeley's in black bag cover for MONEY SHOT BIG BANG #1. A new series with Garth Graham - New Book on Kickstarter! and Patton Oswalt coming in 2025! Have you preordered your copy of the #0 one shot yet!? #MoneyShot #VaultComics #scificomics

Vault Comics

41,916 görüntüleme • 1 yıl önce