Research Scientist at Google DeepMind, Berlin. https://xitter.cf/t.co/FNRtZRR38w
Berlin, DE
Joined September 2010
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Daniel Duckworth retweeted
Are you at #SIGGRAPH2024 and want to learn how to reconstruct meshes from multi-view images that contain details like individual strands of grass? Then come today to the "Radiance Field Processing" session at 2 p.m. in Mile High 1.
binary-opacity-grid.github.i…
Daniel Duckworth retweeted
InterNeRF: Scaling Radiance Fields via Parameter Interpolation
@clintonjwang, @PeterHedman3, Polina Golland, @jon_barron, @duck
tl;dr: use camera origin to assign camera region to partitioned parameter grid and compute bilinear interpolation weights
arxiv.org/pdf/2406.11737
Daniel Duckworth retweeted
Googleがリアルタイムに高精度なレンダリングを実現する新技術「SMERF」を発表
gigazine.net/news/20231214-s…
Daniel Duckworth retweeted
Seeing the amazing new SMERF technology immediately made me imagine a time when we can walk around in environments like this, styled to be anything we can imagine. All happening in realtime, shaped with voice prompts or virtual paint or sculpt marks.
Here's a test of using some of the SMERF demo scenes to drive a generative AI image stream in Krea.. incredible! It's like seeing the world through a new camera lens of imagination.
I'll post a link to the incredible SMERF paper by @duck and his colleagues below.. what a time to be alive!
#ai #art
Daniel Duckworth retweeted
Thoughts NeRFs were dead? Google DeepMind just dropped SMERF — streamable, multi-room NeRFs with cm-level detail. Oh and it works realtime on mobile 🤯
It’s a sweet spot between the speed of Gaussian Splatting and the quality of Zip-NeRF.
More below ⬇️
Daniel Duckworth retweeted
SMERF from Google Research (again) achieves Zip-NeRF quality, operating at a remarkable 60fps on everyday devices like smartphones and laptops.
🔗 neuralradiancefields.io/the-…
Daniel Duckworth retweeted
Code finally released for our CVPR 2022 papers (mip-NeRF 360/Ref-NeRF/RawNeRF)! You can also find links for each paper's dataset on its project page.
The code has some nice new camera utilities for larger real scenes, like this one.
github.com/google-research/m…
We've finally released code for three of our CVPR2022 papers: mip-NeRF 360, Ref-NeRF, and RawNeRF. Instead of three separate releases, we've done something a little unusual and merged them into a single repo. Excited to see what people do with this! github.com/google-research/m…
Daniel Duckworth retweeted
Excited to share our work on "Implicit Neural Representations with Periodic Activations"
vsitzmann.github.io/siren
We show how to fit complex signals, such as room-scale SDFs, video, & audio, and supervise implicit reps via their gradients to solve boundary value problems! (1/n)
Daniel Duckworth retweeted
Classifiers are secretly energy-based models! Every softmax giving p(c|x) has an unused degree of freedom, which we use to compute the input density p(x). This makes classifiers into generative models without changing the architecture.
arxiv.org/abs/1912.03263
Daniel Duckworth retweeted
For future reference, an example of inconsistency in the dirichlet process arxiv.org/abs/1301.2708
Daniel Duckworth retweeted
All of Beware and Be Grateful is streaming at @PasteMagazine! Listen here: pastemagazine.com/blogs/av/2…
Daniel Duckworth retweeted
Why I left Google blogs.msdn.com/b/jw_on_tech/… via @docjamesw
Daniel Duckworth retweeted
And it turns out that doing grid search is almost always worse than just randomly trying hyperparameter values jmlr.org/papers/volume13/ber…
Daniel Duckworth retweeted
Don't call yourself a programmer, and other career advice kalzumeus.com/2011/10/28/don…
Daniel Duckworth retweeted
In devops is small difference of bulls eye and bulls shit. Is measured in press releases.
Daniel Duckworth retweeted
Devops law of Open Source: 10% of project have docs. Of them 10% have good docs. Of them 10% are useful. Of them 10% are used.
Daniel Duckworth retweeted
They say if you love something, set it free. So I just set free my collection of Korean pornography.
