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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 просмотров • 1 год назад •via X (Twitter)

Комментарии: 11

Фото профиля MrNeRF
MrNeRF1 год назад

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."

Фото профиля MrNeRF
MrNeRF1 год назад

Paper:

Фото профиля Pablo Vela
Pablo Vela1 год назад

Wow this looks really sick

Фото профиля MrNeRF
MrNeRF1 год назад

Yeah, and the clip is super long.

Фото профиля Micky Abir
Micky Abir1 год назад

people don’t realize how huge this is

Фото профиля MrNeRF
MrNeRF1 год назад

long long videos, yeah!

Фото профиля TessyVFXR
TessyVFXR1 год назад

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.

Фото профиля James | 🤖
James | 🤖1 год назад

Awesome. Looking forward to trying this out!

Фото профиля MrNeRF
MrNeRF1 год назад

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Фото профиля Mars (parody)
Mars (parody)1 год назад

the future is beaming into reality gaaah this is so exciting

Фото профиля MrNeRF
MrNeRF1 год назад

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

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