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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.show more

MrNeRF

15,896 subscribers

34,782 views • 1 year ago •via X (Twitter)

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11 Comments

MrNeRF1 year ago

Paper: not yet Project: "4DGT takes a series of monocular frames with poses as input. During training, we subsample the temporal frames at different granularity and use all images for supervision. In stage one, we train 4DGT to predict pixel-aligned Gaussians at coarse resolution. In stage two, we prune a majority of non-activated Gaussians based on the histograms of per-patch activation channels and densify the Gaussian prediction by increasing the input token samples in both space and time. At inference time, we run the 4DGT network trained after stage two, which supports dense video frames input at high resolution."

MrNeRF1 year ago

Paper:

Pablo Vela1 year ago

Wow this looks really sick

MrNeRF1 year ago

Yeah, and the clip is super long.

Micky Abir1 year ago

people don’t realize how huge this is

MrNeRF1 year ago

long long videos, yeah!

TessyVFXR1 year ago

The fact that I can't get my head off this for the past few days... For me, it is that much needed tool that unlocks a lot.

James | 🤖1 year ago

Awesome. Looking forward to trying this out!

MrNeRF1 year ago

I'm crafting an email newsletter that turns my daily updates into a captivating weekly digest, complete with exclusive content. Although it's not live yet, you can sign up now! If you're curious, visit my website and join the subscriber list today!

Mars (parody)1 year ago

the future is beaming into reality gaaah this is so exciting

MrNeRF1 year ago

Pretty good for monocular footage. The videos are also very long!

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