正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

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... show more

Gauzilla Pro

1,067 subscribers

13,108 次观看 • 2 天前 •via X (Twitter)

#VDC #Construction #AEC

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

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.

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

10,953 次观看 • 1 年前

Check out this BIM 4D sim by Thiery Peleias, owner of Virtuart4d 🚧 Imported into UE5 for the animation aspect, the project model was created in Revit, the 4D planning animation in Synchro 4D Pro and the environment captured from Cesium with Google Maps Photorealistic 3D Tiles!

Check out this BIM 4D sim by Thiery Peleias, owner of Virtuart4d 🚧 Imported into UE5 for the animation aspect, the project model was created in Revit, the 4D planning animation in Synchro 4D Pro and the environment captured from Cesium with Google Maps Photorealistic 3D Tiles!

Unreal Engine

20,772 次观看 • 1 年前

Interactive visual of 4D spacetime. > Extending the 2D model into 3D. You can now see the animated field.

Interactive visual of 4D spacetime. > Extending the 2D model into 3D. You can now see the animated field.

Mirza Beig

76,633 次观看 • 6 个月前

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)

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

35,974 次观看 • 1 年前

Absolutely wild. Interactive 4D video live in your browser.

Absolutely wild. Interactive 4D video live in your browser.

Tim Soret

56,285 次观看 • 1 年前

Can we scale 4D pretraining to learn general space-time representations that reconstruct an object from a few views at any time to any view at any other time? Introducing 4D-LRM: a Large Space-Time Reconstruction Model that ... 🔹 Predicts 4D Gaussian primitives directly from multi-view tokens (no motion vectors, no HexPlane); 🔹 Uses a clean, minimal Transformer backbone; 🔹 Generalizes with fast, high-quality feedforward rendering at any view and infinite frame rate. Check out more interactive demos and scaling behaviors on our homepage/paper. 👉Website: 👉Paper:

Can we scale 4D pretraining to learn general space-time representations that reconstruct an object from a few views at any time to any view at any other time? Introducing 4D-LRM: a Large Space-Time Reconstruction Model that ... 🔹 Predicts 4D Gaussian primitives directly from multi-view tokens (no motion vectors, no HexPlane); 🔹 Uses a clean, minimal Transformer backbone; 🔹 Generalizes with fast, high-quality feedforward rendering at any view and infinite frame rate. Check out more interactive demos and scaling behaviors on our homepage/paper. 👉Website: 👉Paper:

Martin Ziqiao Ma

21,787 次观看 • 1 年前

forget about physical camera stabilizations why don't we reconstruct the world in 4d and rerecord the footage:

forget about physical camera stabilizations why don't we reconstruct the world in 4d and rerecord the footage:

Dreaming Tulpa 🥓👑

106,083 次观看 • 11 个月前

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:

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 次观看 • 1 年前

And the time lapse for that spinosaurus

And the time lapse for that spinosaurus

Gael casas

22,750 次观看 • 25 天前

The Pax 4D coaster at Balalyk Park in Kyrgyzstan is now testing. Of all the things on my coaster bingo card for 2025, Pax reappearing and building a 4D coaster was not one of them. Source:

The Pax 4D coaster at Balalyk Park in Kyrgyzstan is now testing. Of all the things on my coaster bingo card for 2025, Pax reappearing and building a 4D coaster was not one of them. Source:

VHCoasters

45,969 次观看 • 1 年前

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.

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 次观看 • 1 年前

learn. Cinema 4D in one day Here's a preview of all the different scenes you will make using Cinema 4D & Redshift. Maxon

learn. Cinema 4D in one day Here's a preview of all the different scenes you will make using Cinema 4D & Redshift. Maxon

helloluxx

19,934 次观看 • 2 年前

An AI-generated time-lapse of the construction of the Taj Mahal

An AI-generated time-lapse of the construction of the Taj Mahal

Massimo

791,437 次观看 • 5 个月前

Introducing Ronin 4D Flex DJI Ronin 4D opened a new era for filmmaking and now, Ronin 4D Flex is ready to take things even further, with expanded camera position and movement flexibility that delivers better shots in all spaces. Discover more, here:

Introducing Ronin 4D Flex DJI Ronin 4D opened a new era for filmmaking and now, Ronin 4D Flex is ready to take things even further, with expanded camera position and movement flexibility that delivers better shots in all spaces. Discover more, here:

DJI

94,982 次观看 • 3 年前

Also small time-lapse for fun🫰

Also small time-lapse for fun🫰

☕️MORI☕️

20,697 次观看 • 1 年前

Time-lapse of a pine tree in 300 days 📹 Box Lapse.

Time-lapse of a pine tree in 300 days 📹 Box Lapse.

Science girl

15,683,853 次观看 • 2 年前

Can’t stop watching the time lapse videos of “construction” from the AI interior design accounts (from inspiringdesignsnet)

Can’t stop watching the time lapse videos of “construction” from the AI interior design accounts (from inspiringdesignsnet)

Justine Moore

358,951 次观看 • 7 个月前

Zhou et al., "PAGE-4D: Disentangled Pose and Geometry Estimation for 4D Perception" VGGT extended to dynamic scenes with a dynamic mask predictor.

Zhou et al., "PAGE-4D: Disentangled Pose and Geometry Estimation for 4D Perception" VGGT extended to dynamic scenes with a dynamic mask predictor.

Kwang Moo Yi

11,546 次观看 • 7 个月前

Long live bullet time. The future of sports is 4d gaussian splatting.

Long live bullet time. The future of sports is 4d gaussian splatting.

Bilawal Sidhu

127,835 次观看 • 2 个月前

AI Turned One Photo Into a Full Construction Time-lapse

AI Turned One Photo Into a Full Construction Time-lapse

Ugwu Samuel 👨🏼‍💻

22,075 次观看 • 5 个月前