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๐Ÿ“ข๐Ÿ“ข๐Ÿ“ข Introducing "๐๐š๐ฒ๐ž๐ฌ' ๐‘๐š๐ฒ๐ฌ: Uncertainty Quantification for Neural Radiance Fields" TL;DR: ๐œ๐š๐ง ๐ˆ "๐ญ๐ซ๐ฎ๐ฌ๐ญ" ๐ฆ๐ฒ ๐๐ž๐‘๐… ๐š๐ญ ๐ฉ๐จ๐ฌ๐ข๐ญ๐ข๐จ๐ง ๐ฑ? with Lily Goli , @sellan_s, Cody Reading, Alec Jacobson.

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Andrea Tagliasacchi ๐Ÿ‡จ๐Ÿ‡ฆ

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77,827 gรถrรผntรผleme โ€ข 2 yฤฑl รถnce โ€ขvia X (Twitter)

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Samarth Sinha profil fotoฤŸrafฤฑ
Samarth Sinha2 yฤฑl รถnce

@lily_goli @sellan_s @code_red7777 @_AlecJacobson Looks very cool! Congrats @lily_goli !

Marvin Schmitt ๐Ÿ‘‰๐Ÿฆ‹ profil fotoฤŸrafฤฑ
Marvin Schmitt ๐Ÿ‘‰๐Ÿฆ‹2 yฤฑl รถnce

@lily_goli @sellan_s @code_red7777 @_AlecJacobson Nice! Whatโ€™s the computational overhead compared to vanilla NeRFs without the Bayesian UQ component? Does it still work in real-time on reasonable hardware?

Andrea Tagliasacchi ๐Ÿ‡จ๐Ÿ‡ฆ profil fotoฤŸrafฤฑ
Andrea Tagliasacchi ๐Ÿ‡จ๐Ÿ‡ฆ2 yฤฑl รถnce

@lily_goli @sellan_s @code_red7777 @_AlecJacobson there's no overhead at rendering time

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๐Ÿ“ขPanoptic Lifting for 3D Scene Understanding with Neural Fields #CVPR23 highlight! Given only posed RGB images of a scene, we optimize a panoptic radiance field representing color, depth, semantics, and instances at any point in space. Vid: Yawar Siddiqui

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โ€ฆpack it up ๐Ÿ˜ญ โ€œON ALL LEVELS ฬถEฬถXฬถCฬถEฬถPฬถTฬถ ฬถPฬถHฬถYฬถSฬถIฬถCฬถAฬถLฬถ, I AM A WOLF ๐Ÿ“ข๐Ÿ“ข๐Ÿ“ข๐Ÿ“ข๐Ÿ“ข๐Ÿ“ข๐Ÿ“ข๐Ÿ“ข๐Ÿ“ข๐Ÿ“ข๐Ÿ“ข๐Ÿ“ข๐Ÿ“ข๐Ÿ“ข๐Ÿ“ข๐Ÿ“ข๐Ÿ“ข๐Ÿ“ข๐Ÿ“ข๐Ÿ“ข๐Ÿ“ข๐Ÿ“ขโ€ #plave #eunho #ํ”Œ๋ ˆ์ด๋ธŒ #์€ํ˜ธ

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