Research Scientist @GoogleDeepMind. Opinions my own. 🇵🇦

Montreal, Quebec
Joined October 2017
I've been wanting to get to writing more often, so I started a little blog attached to my personal website. My first blog post is a tutorial on building TPU flash attention from the ground up. Let me know what you think! danielwatson6.github.io/fa/f…
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A much needed step in world modeling. By generating 360° panos, world models will truly track everything happening around them, serving as a better form of memory. Huge shoutout to @Dazitu_616 for spearheding this awesome work. It was amazing to work with you!
📢Introducing 360Anything, our method for lifting any perspective image or video to gravity-aligned 360° panoramas without using any camera or 3D information. This enables consistent novel view synthesis and 3D scene reconstruction. Project page: 360anything.github.io/ 🧵
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Adam deserves the award, but in Singapore everyone still uses SGD
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[[THREAD]] Happy to announce 4DiM, our diffusion model for novel view synthesis of scenes! 4DiM allows camera+time control with as few as one input image. Joint work with @srbhsxn* @lala_yi_li* @taiyasaki @fleet_dj *equal contribution
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While still nowhere near perfect, 4DiM excels at very difficult cases like 360º from a single image:
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All results are unedited outputs from a single diffusion model. There is no NeRF or any postprocessing steps involved. Please check out our website for many more samples! 4d-diffusion.github.io/
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Daniel Watson retweeted
Excited to share latest ✨Med-Gemini✨ additions - our new research unlocks possibilities in medical data analysis with 3 new models built upon Gemini 1.5 that can handle 2D medical images, and for the first time genomic risk score & 3D radiology scans. arxiv.org/pdf/2405.03162
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Daniel Watson retweeted
Excited to share our work on Video Interpolation with Diffusion Models. vidim-interpolation.github.i… VIDIM generates plausible short videos given a start and end frame. Joint work with @watson_nn, @erictabellion , @holynski_ , @poolio and @jannekontkanen
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Very excited to share VIDIM, our diffusion model for video interpolation. Cheap and high quality video diffusion will become a reality. I have also believed for a while now that using pixels as inputs is severely underrated-- there is so much more signal in there v.s. text.
VIDIM: Video Frame Interpolation Using Diffusion Models. Watch out for our generative frame interpolation magic in CVPR 2024. With Siddhant Jain, Daniel Watson, Eric Tabellion, Aleksander Holynski, and Ben Poole arxiv.org/abs/2404.01203
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Fast sampling with 'Multistep Consistency Models': We get 1.6 FID on Imagenet64 in 4 steps and scale text-to-image models, generating 256x256 images with 16 steps. Guess which row is distilled? With @emiel_hoogeboom @TimSalimans Arxiv: arxiv.org/abs/2403.06807
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Daniel Watson retweeted
# on shortification of "learning" There are a lot of videos on YouTube/TikTok etc. that give the appearance of education, but if you look closely they are really just entertainment. This is very convenient for everyone involved : the people watching enjoy thinking they are learning (but actually they are just having fun). The people creating this content also enjoy it because fun has a much larger audience, fame and revenue. But as far as learning goes, this is a trap. This content is an epsilon away from watching the Bachelorette. It's like snacking on those "Garden Veggie Straws", which feel like you're eating healthy vegetables until you look at the ingredients. Learning is not supposed to be fun. It doesn't have to be actively not fun either, but the primary feeling should be that of effort. It should look a lot less like that "10 minute full body" workout from your local digital media creator and a lot more like a serious session at the gym. You want the mental equivalent of sweating. It's not that the quickie doesn't do anything, it's just that it is wildly suboptimal if you actually care to learn. I find it helpful to explicitly declare your intent up front as a sharp, binary variable in your mind. If you are consuming content: are you trying to be entertained or are you trying to learn? And if you are creating content: are you trying to entertain or are you trying to teach? You'll go down a different path in each case. Attempts to seek the stuff in between actually clamp to zero. So for those who actually want to learn. Unless you are trying to learn something narrow and specific, close those tabs with quick blog posts. Close those tabs of "Learn XYZ in 10 minutes". Consider the opportunity cost of snacking and seek the meal - the textbooks, docs, papers, manuals, longform. Allocate a 4 hour window. Don't just read, take notes, re-read, re-phrase, process, manipulate, learn. And for those actually trying to educate, please consider writing/recording longform, designed for someone to get "sweaty", especially in today's era of quantity over quality. Give someone a real workout. This is what I aspire to in my own educational work too. My audience will decrease. The ones that remain might not even like it. But at least we'll learn something.
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Daniel Watson retweeted
Hiring Research Scientists within @GoogleDeepMind - Toronto to join our team & advance the next generation of medical AI, develop cutting-edge LLMs & Multi-modal models to tackle real-world healthcare challenges. Please submit your interest through: forms.gle/2cSbBotUwSfVfuur8
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Las palabras se las lleva el viento, Presidente En educación: seguimos fracasando las pruebas PISA Transparencia: No hay mejoras desde el 2019 (Transparencia Internacional) Pobreza: incrementa desde 2019 (Banco Mundial) Homicidio: incrementa desde 2019 (Procuraduría)
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Excited to share ReconFusion! 3D reconstruction of real-world scenes from only a few photos, powered by diffusion priors: reconfusion.github.io w/ amazing team @ChrisWu6080 @BenMildenhall @philipphenzler @KeunhongP @RuiqiGao @watson_nn @_pratul_ @dorverbin @jon_barron @poolio
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Daniel Watson retweeted
Logging into Twitter after the CVPR deadline...
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