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Introducing MegaSaM! 🎥 Accurate, fast, & robust structure + camera estimation from casual monocular videos of dynamic scenes! MegaSaM outputs camera parameters and consistent video depth, scaling to long videos with unconstrained camera paths and complex scene dynamics!

Zhengqi Li

1,586 subscribers

56,923 次观看 • 1 年前 •via X (Twitter)

科学技术教育

Anya Rossi• Live Now

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8 条评论

Zhengqi Li 的头像

Zhengqi Li1 年前

🔗See the gallery of results, and try our interactive viewer at 📄Read more: Big thanks to the amazing team! @holynski_, @forrestercole , @QianqianWang5, @jin_linyi, @vickie_ye_, @akanazawa, @Jimantha and Richard Tucker

Soumith Chintala 的头像

Soumith Chintala1 年前

when will the code be released? would love to try it

Angela Dai 的头像

Angela Dai1 年前

looks super cool :)

Bilawal Sidhu 的头像

Bilawal Sidhu1 年前

impressive -- results looks much better than monst3r too -- congrats!

Taro TheTechie 的头像

Taro TheTechie1 年前

Impressive! I'm curious to see how MegaSaM handles complex scenes with multiple moving objects. Can it maintain accuracy in those scenarios?

Nigel Higgs 的头像

Nigel Higgs1 年前

jesus christ this field is moving fast. The weights availble?

Jonathan Sauder 的头像

Jonathan Sauder1 年前

Very impressive results, congratulations! Looking forward to the code/checkpoint release!

Ang Cao 的头像

Ang Cao1 年前

So cool

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