Quick announcement: My team and I (and many others) are moving from Google Research to Google DeepMind. My team's research agenda won't be changing much --- we'll keep radiating fields as brightly as we can. Very excited for what's next!
blog.google/inside-google/…
Harold Halibut is beautiful. All assets were sculpted in *real clay*, and then digitized with photogrammetry (capturingreality.com/Article-Realit…). Very excited to track how this approach to gamedev evolves as photogrammetry/radiance field/diffusion tech improves. youtube.com/watch?v=Ua_qqa…
Just finished my ECCV reviews. 2 of the 6 papers in my pile were 100% unedited and incoherent LLM output. If you let ChatGPT write your paper, and one of your reviews is a "strong reject" and a diatribe about why what you did is immoral: hi, that was me, we are not friends.
Just read a paper whose `Method` section had clearly been mangled by an LLM. Words and phrases with concrete meaning in the literature had been rephrased into meaningless garbage (eg, "neural field" -> "neurological paddock"). Absolutely shameful.
This Google Scholar plugin is meaningfully accelerating my paper reviews. Clicking on a citation immediately pops up a helpful info box from Scholar, no more going back and forth to the references section, googling a title, reading the abstract, looping back, etc.
This Google Scholar plugin is meaningfully accelerating my paper reviews. Clicking on a citation immediately pops up a helpful info box from Scholar, no more going back and forth to the references section, googling a title, reading the abstract, looping back, etc. https://t.co/jVwKRDOQ9K
PSA for those planning to attend CVPR 2024:
1) Early registration ends May 1st, and then prices go up.
2) Anyone can (and should) pay the reduced IEEE/CVF membership, because CVF membership is free and available to anyone who requests it. thecvf.com/?page_id=16
Just read another ChatGPT paper abstract ("We delve into the realm of pivotal breakthroughs to master the intricacies of blah blah bah"). This writing sucks and wastes everyone's time. If you must outsource your writing, tell the LLM to speak plainly and delete all adverbs.
Has anyone written numpy or pytorch code for projecting an image into a retro video game console color palette, like en.wikipedia.org/wiki/List_of_v…? Seems like just adding that to ancestral sampling in an image diffusion pipelines would enable perfect retro pixel art generation.
Q1) are you a "graphics person"? and Q2) If you saw "Journal Paper" near the top of the project page for a SIGGRAPH paper, would you assume that the paper is better or worse than the average SIGGRAPH paper?
Generative video technology (eg Sora) has two huge challenges in front of it that will likely slow adoption by Hollywood et al: 1) high latency (waiting minutes/hours to get seconds of footage), and 2) lack of controllability (the video you get back isn't necessarily what you…
Generative video technology (eg Sora) has two huge challenges in front of it that will likely slow adoption by Hollywood et al: 1) high latency (waiting minutes/hours to get seconds of footage), and 2) lack of controllability (the video you get back isn't necessarily what you…
The first NeRF/Gaussian Splatting hybrid is here from @Mi_Niemeyer and the Google Research team with 900 fps and strong visual fidelity.
radiancefields.com/radsplat/
I'll be at GTC this monday (on a panel, nvidia.com/gtc/session-ca…) and then I'll be at GDC this tuesday (just wandering around the expo trying to figure out how gamedev works by osmosis). If you see me at either, say hi.
This is an important fact that AI researchers need to internalize. The compute wins we get from the passage of time are no longer free; they cost watts, and watts cost dollars. To maximize impact, craft your research agenda around developing new algorithms that cost fewer flops.
This is an important fact that AI researchers need to internalize. The compute wins we get from the passage of time are no longer free; they cost watts, and watts cost dollars. To maximize impact, craft your research agenda around developing new algorithms that cost fewer flops.
Claude seems to be an excellent LLM, but the website leaves a lot to be desired: 1) It's not possible to halt generation, so if Claude is on the wrong track you have to wait til it finishes, 2) it doesn't format math nicely, unlike ChatGPT. These details matter! To me at least.
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Also dabble in robotics at NYU.
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Follow me for commentary on state-of-the-art AI.
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I'm interested in AI for imaging inverse problems
Looking to hire phds/postdocs!
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Clinical NLP | Knowledge Graph | Opinions are my own.
Looking for a part-time/internship in Clinical NLP
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67K Followers 261 FollowingDistinguished Scientist at Google Research. Computational Imaging, Machine Learning, and Vision. Tweets = personal opinions. May change or disappear over time.
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185K Followers 871 FollowingCofounded and lead @PyTorch at Meta.
Also dabble in robotics at NYU.
AI is delicious when it is accessible and open-source.
12K Followers 166 FollowingAssociate Professor @ SFU (Research Chair), Research Scientist @ Google DeepMind, Associate Professor (status only) @ UofT. Opinions are my own.
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(Eiko-high, U-Tokyo, UIUC, ILM, ENS, UW, Google, WUSTL, SFU/Wayve)
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