Daniel Duckworth (@duck) / X

Daniel Duckworth

333 posts

Daniel Duckworth

@duck

Research Scientist at Google DeepMind, Berlin. stronglyconvex.com

Berlin, DE

stronglyconvex.com

Joined September 2010

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Daniel Duckworth
@duck
Dec 13, 2023
Introducing SMERF: a streamable, memory-efficient method for real-time exploration of large, multi-room scenes on everyday devices. Our method brings the realism of Zip-NeRF to your phone or laptop! Project page: smerf-3d.github.io ArXiv: arxiv.org/abs/2312.07541 (1/n)
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Daniel Duckworth
@duck
Jul 13, 2025
I had the pleasure last month of giving slightly provocative talk at Bliss AI, a a wonderful student-run organization here in Berlin. The best part: the talk is online for everyOne to enjoy! Behold: "NeRF is dead"
Daniel Duckworth
@duck
Jun 15, 2023
From the moment NeRF was first published, the research community knew it would be something game-changing. I'm proud to be part of the team turning this amazing line of work into a real product experience!
Google AI
@GoogleAI
Jun 14, 2023
Immersive View gives users a virtual, close-up look at indoor spaces in 3D! Learn how it uses neural radiance fields to seamlessly fuse photos to produce realistic, multidimensional reconstructions of your favorite businesses and public spaces → goo.gle/3X6L9G8
GIF
Daniel Duckworth
@duck
Jun 15, 2022
I'm stoked to be a contributor on Object SRT, a new method for unsupervised, posed-images-to-3D-scene representation and segmentation! It's crazy fast and, while far from perfect, is leaps and bounds better than anything I've seen yet :)
Thomas Kipf
@tkipf
Jun 15, 2022
So excited to share Object Scene Representation Transformer (OSRT): OSRT learns about complex 3D scenes & decomposes them into objects w/o supervision, while rendering novel views up to 3000x faster than prior methods! 🖥️ osrt-paper.github.io 📜 arxiv.org/abs/2206.06922 1/7
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Daniel Duckworth
@duck
Aug 20, 2020
I'm proud to announce the release of our new paper relating Whitening, Newton's Method, and Generalization! tl;dr whitening w/o regularization significantly reduces a model's ability to generalize. Work with @negative_result @sschoenholz @ethansdy @jaschasd
Jascha Sohl-Dickstein
@jaschasd
Aug 19, 2020
Whitening and second order optimization both destroy information about the dataset, and can make generalization impossible: arxiv.org/abs/2008.07545 We examine what information is usable for training neural networks, and how second order methods destroy exactly that information.
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