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📢 Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation Got only one or a few images and wondering if recovering the 3D environment is a reconstruction or generation problem? Why not do it with a generative reconstruction model! We show that a camera-conditioned video diffusion model can... show more

Sherwin Bahmani

1,396 subscribers

66,934 次观看 • 1 年前 •via X (Twitter)

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38 条评论

Sherwin Bahmani 的头像

Sherwin Bahmani1 年前

Previous work (left) trains image-to-3D models using real-world datasets with limited diversity. In contrast, we propose a self-distillation framework (right) for generative 3D scene reconstruction. Specifically, a pre-trained camera-controlled video diffusion model (GEN3C) with its RGB decoder output (teacher) supervises the rendering of the 3DGS decoder (student). Using a video model pre-trained on large-scale real-world 2D video data allows us to provide diverse and potentially infinite multi-view supervision.

Sherwin Bahmani 的头像

Sherwin Bahmani1 年前

Our model generates 3DGS scenes from a single input image in a feed-forward manner generalizing across a wide range of scenarios., without the need for per-scene optimization.

Sherwin Bahmani 的头像

Sherwin Bahmani1 年前

Moreover, our framework easily extends to feed-forward 4D scene generation from a single input video.

Sherwin Bahmani 的头像

Sherwin Bahmani1 年前

Our approach seamlessly generalizes to full 3D scene generation from a single real image, without ever being trained on real-world data.

Sherwin Bahmani 的头像

Sherwin Bahmani1 年前

The generated 3D Gaussians can then be exported into into NVIDIA Isaac Sim based on 3DGUT to simulate humanoid robots in generated environments.

Sherwin Bahmani 的头像

Sherwin Bahmani1 年前

Joint work with @TianchangS @jiawei6_ren @huangjh_hjh Yifeng Jiang @Haithem_Turki @taiyasaki @davelindell @ZGojcic @FidlerSanja @HuanLing6 @JunGao33210520 @xuanchi13

Sherwin Bahmani 的头像

Sherwin Bahmani1 年前

@jiawei6_ren @huangjh_hjh @Haithem_Turki @taiyasaki @DaveLindell @ZGojcic @FidlerSanja @HuanLing6 @JunGao33210520 @xuanchi13 Check out this very related work Bolt3D ( at ICCV next month by @StanSzymanowicz @jasonyzhang2 @_pratul_ @RuiqiGao @ArthurBrussee @holynski_ @rmbrualla @jon_barron @philipphenzler

Sherwin Bahmani 的头像

Sherwin Bahmani1 年前

@jiawei6_ren @huangjh_hjh @Haithem_Turki @taiyasaki @DaveLindell @ZGojcic @FidlerSanja @HuanLing6 @JunGao33210520 @xuanchi13 @StanSzymanowicz @jasonyzhang2 @_pratul_ @RuiqiGao @holynski_ @rmbrualla @jon_barron @philipphenzler Special thanks to @robrombach @andi_blatt and the rest of the team at @bfl_ml for open-sourcing FLUX ( We use FLUX to generate high-quality input images and lift them into 3D.

Matthias Niessner 的头像

Matthias Niessner1 年前

Amazing work!

Sherwin Bahmani 的头像

Sherwin Bahmani1 年前

Thanks Matthias 🍻

Kai He 的头像

Kai He1 年前

Strong 👍👍🥳

Sherwin Bahmani 的头像

Sherwin Bahmani1 年前

Not as strong as you 😌

Eduard Zamfir 的头像

Eduard Zamfir1 年前

Uff 😮‍💨 sky is the limit! 🚀

Sherwin Bahmani 的头像

Sherwin Bahmani1 年前

Danke du Spruecheklopfer 🤪

Oliver Hahn 的头像

Oliver Hahn1 年前

Machine! Congrats 🚀

Sherwin Bahmani 的头像

Sherwin Bahmani1 年前

Danke Bro 😎

Lily Goli 的头像

Lily Goli1 年前

looks amazing!! 🎉

Sherwin Bahmani 的头像

Sherwin Bahmani1 年前

Thanks Lily 😊

Stephen J. Caggiano 的头像

Stephen J. Caggiano1 年前

🔥❤️👏🏼

Ziya Erkoç 的头像

Ziya Erkoç1 年前

Congrats, Sherwin!🎉🎉

Sherwin Bahmani 的头像

Sherwin Bahmani1 年前

Thanks Ziya 🫡

Tuan Ngo 的头像

Tuan Ngo1 年前

Amazing!!! Congrats Sherwin

Sherwin Bahmani 的头像

Sherwin Bahmani1 年前

Thanks big guy 🙏

Ison Ward 的头像

Ison Ward1 年前

Cool！That looks like a good time

Sai Tedla 的头像

Sai Tedla1 年前

This is insane.

Phil Franco 的头像

Phil Franco1 年前

that looks cool!

Yuyang Zhao 的头像

Yuyang Zhao1 年前

Amazing work! Congrats, Sherwin!

Sherwin Bahmani 的头像

Sherwin Bahmani1 年前

Thanks Yuyang 🤪

Hadi Alzayer 的头像

Hadi Alzayer1 年前

Very cool work! Congrats on the release

Sherwin Bahmani 的头像

Sherwin Bahmani1 年前

Thanks Hadi 😊

:3 的头像

:31 年前

This is over 20 years ago:

Felix Taubner 的头像

Felix Taubner1 年前

The 4D 🐐 🤩

Sherwin Bahmani 的头像

Sherwin Bahmani1 年前

No, you are the 4D 🐐😮‍💨

Mohamad Shahbazi 的头像

Mohamad Shahbazi1 年前

Really cool work and amazing results Sherwin! :) Was wondering, how sensitive the 3DGS decoder is to the multivew inconsistencies?

Sherwin Bahmani 的头像

Sherwin Bahmani1 年前

Thanks! We learn to smoothen inconsistencies with LPIPS loss. Obviously, a more consistent diffusion model will make it easier to get consistent output. The current viewpoint change is mainly limited because the diffusion output gets more and more inconsistent far away from the input view. Hope to improve that!

Ethan Weber 的头像

Ethan Weber1 年前

Congrats! I really like the ideas here. 🙂

Sherwin Bahmani 的头像

Sherwin Bahmani1 年前

Thanks Ethan 😊

Andrew Guo 的头像

Andrew Guo7 个月前

wow! this is cool

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