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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...

34,782 Aufrufe • vor 1 Jahr •via X (Twitter)

11 Kommentare

Profilbild von MrNeRF
MrNeRFvor 1 Jahr

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."

Profilbild von MrNeRF
MrNeRFvor 1 Jahr

Paper:

Profilbild von Pablo Vela
Pablo Velavor 1 Jahr

Wow this looks really sick

Profilbild von MrNeRF
MrNeRFvor 1 Jahr

Yeah, and the clip is super long.

Profilbild von Micky Abir
Micky Abirvor 1 Jahr

people don’t realize how huge this is

Profilbild von MrNeRF
MrNeRFvor 1 Jahr

long long videos, yeah!

Profilbild von TessyVFXR
TessyVFXRvor 1 Jahr

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.

Profilbild von James | 🤖
James | 🤖vor 1 Jahr

Awesome. Looking forward to trying this out!

Profilbild von MrNeRF
MrNeRFvor 1 Jahr

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Profilbild von Mars (parody)
Mars (parody)vor 1 Jahr

the future is beaming into reality gaaah this is so exciting

Profilbild von MrNeRF
MrNeRFvor 1 Jahr

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

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