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Vladimir (Vova) Kim

@vovakim.bsky.social
131 followers 229 following 10 posts

www.vovakim.com

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Reposted by Vladimir (Vova) Kim
Dale Decatur @daledecatur.bsky.social · 22/10/2025
Excited to share our #ICCV2025 work Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets! Our method generates large sets of images using significantly less compute than standard diffusion. 📎https://ddecatur.github.io/hierarchical-diffusion/ 1/
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Vladimir (Vova) Kim @vovakim.bsky.social · 29/09/2025
After a prolific and rewarding decade at Adobe Research (see vova.kim), I’ve taken on a new role as Director of Applied AI/ML at Adobe. I’m building a new team and we’re looking for outstanding Applied Scientists (mostly for visual data). Shoot me an e-mail or pass along!
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Vladimir (Vova) Kim @vovakim.bsky.social · 08/02/2025
A remarkable thing about human intelligence, is that a single-celled slime, driven purely by natural selection, somehow turned into a hairless ape with a seemingly useless adaptation which allowed it to build generalizable abstract representations of the natural world. AI, on the other hand..
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Vladimir (Vova) Kim @vovakim.bsky.social · 31/01/2025
Yes!
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Reposted by Vladimir (Vova) Kim
Valentin Deschaintre @vdeschaintre.bsky.social · 09/12/2024
🎓 We introduce SAMa! A material selection and segmentation model on 3D models in any format (3DGS, NeRF, Mesh). Given a user click, we propose to select all regions on an objects with the same material. We can also do segmentation in under a minute: mfischer-ucl.github.io/sama/
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Reposted by Vladimir (Vova) Kim
thibaultgroueix.bsky.social @thibaultgroueix.bsky.social · 04/12/2024
🌟 Text-to-3D is awesome ! But how do we iterate on the generated 3D model, to get just the right result? Do we tweak the prompt endlessly? Revert to traditional 3D modeling techniques? We propose a solution to "3D inpainting” 🤩🎨 Project: amirbarda.github.io/Instant3dit.... A thread. 🧵 1/
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