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Noah Snavely
@Jimantha
3D vision fanatic. Professor @cornell_tech & Researcher @GoogleDeepmind. He or they. snavely.bsky.social
New York, NY
Joined June 2008
Posts
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    Hello, view synthesis devotees. I invite you to some new work at @eccvconf. We gather tourist photos of famous landmarks and learn a new neural 3D representation that can synthesize new views with natural, modifyable lighting. We call it "Crowdsampling the Plenoptic Function".
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    It turns out that YouTube has tons of videos of people pretending to be statues. This is great for learning about the 3D shape of people! Cool new work from @zl548 at CVPR19 from his Google internship. mannequin-depth.github.io
    GIF
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    Attention all looking glass lovers: This tweet is a shameless plug for a CVPR 2020 paper that asks a dumb question and finds an interesting answer. Can you tell if an image has been horizontally flipped or not?
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    We couldn't find a Fundamental matrix visualizer online, so we made one for our vision course. If you are an F-matrix fan, take a look & tell us if you find any problems. And please send pointers to other demos! (Credits: Alek Curless, Sri Chakra Kumar) cs.cornell.edu/courses/cs5670โ€ฆ
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    Dear typesetting fanatics: I wrote a short Latex style guide with some tips & tricks that I find useful for making short and nice-looking papers. If you are working on ECCV papers or the like, maybe it will be useful to you, too. bit.ly/latex-style
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    For stylization fans, @KaiZhang9546's work called ARF: Artistic Radiance Fields is on Tuesday's docket at @eccvconf. It achieves nice, view-consistent 2D-to-3D style transfer results by fine-tuning a radiance field so that projections resemble the style of an input source image.
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    ARF: Artistic Radiance Fields abs: arxiv.org/abs/2206.06360 project page: cs.cornell.edu/projects/arf/ github: github.com/Kai-46/ARF-svoโ€ฆ create high-quality artistic 3D content by transferring the style of an exemplar image, such as a painting or sketch, to NeRF and its variants
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    Thank you to @TheOfficialACM for this really kind honor!
    In honor of his technical achievements, Associate Professor Noah Snavely was recently named a 2023 @TheOfficialACM Fellow. Congrats, Noah! bit.ly/3VcvaHN @Jimantha @Cornell #ACM #Fellowship #CS #Faculty #CornellTech
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    Do you have the blues because you are getting broken 3D models from COLMAP or other 3D reconstruction pipelines? Ruojin has a nice new paper and codebase that can help! We invite you to check out our work on doppelganger images here: doppelgangers-3d.github.io
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    Check out our #ICCV203 paper called Doppelgangers. We train a classifier to detect distinct but visually similar image pairs ("doppelgangers") and apply it to SfM disambiguation, enabling COLMAP to create correct 3D models in hard cases. Project page: doppelgangers-3d.github.io
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    Dear city lovers: here's new work at @eccvconf on observing many images of a city over time, and learning to factor lighting effects from scene appearance. This factorization lets us relight new images, even from new cities. Here we learn from NYC and create a full day in Paris.
    GIF
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    To all the CVPR-heads out there -- check out @KaiZhang9546's work on inverse rendering in this morning's oral session! Relightable 3D meshes from photos, with really beautiful results.
    IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Images abs: arxiv.org/abs/2204.02232 project page: kai-46.github.io/IRON-website/
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    Really proud of @QianqianWang5 for her best student paper awardโ€“winning work she presented at the final session of @ICCVConference. Wonderful job, @QianqianWang5! And congrats to authors @ruojin8, Yen-Yu Chang, @zhengqi_li, @BharathHarihar3, and @holynski_.
    .@QianqianWang5's ๐ŸŽ‰Best Student Paper๐ŸŽ‰ is being presented at #ICCV2023 tomorrow (Friday)! โ–ถ๏ธ"Tracking Everything Everywhere All At Once"โ—€๏ธ w/ Yen-Yu Chang, @ruojin8 @zhengqi_li @BharathHarihar3 @Jimantha Friday Afternoon Oral & Poster! Come say hi! omnimotion.github.io
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    This is so cool -- congrats to @zhengqi_li, Richard Tucker, and @holynski_!
    Congratulations to @zhengqi_li, Richard Tucker, @Jimantha, and @holynski_. Their paper โ€œGenerative Image Dynamicsโ€ received the #CVPR2024 Best Paper Award. Read the paper: arxiv.org/pdf/2309.07906
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    Fitting a CVPR paper in exactly 8 pages is a real Procrustes-style exercise.
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    Greetings from View Synthesis Land! Richard Tucker and I had a fun @cvpr2020 paper (from @GoogleAI) called "Single-View View Synthesis with Multiplane Images". The code (and Colab) is now available. Have fun out there! web: single-view-mpi.github.io Colab: colab.research.google.com/github/google-โ€ฆ
    GIF