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Cusuh
136 posts
Cusuh
@cusuh_
Research Scientist @ Adobe | ML PhD from Georgia Tech | previously Google Research, MPI
Katılım Nisan 2010
201 Takip Edilen875 Takipçiler
Great work from our intern, Jinbo, in collaboration with Long, Gabriel, Aniruddha, Chi-Wing, Tien-Tsin, and Feng
@CUHKofficial, @AdobeResearch, @MonashUni
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MotionCanvas presents a method for scene-aware, decoupled object and camera motion control for image-to-video generation.
Come by the #SIGGRAPH2025 Video Generation session tomorrow @ 10:45am in West Building, Rooms 118-120 to learn more!
motion-canvas25.github.io
GIF
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I've had so much fun experimenting with our latest @Adobe Firefly Video model - coming from a background in film, I've loved exploring the world of generative cinematography. A few of my favorite shots:
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We’re excited to share progress on the all-new Firefly Video Model with Text to Video & Image to Video capabilities across @creativecloud, @AdobeExpCloud & @AdobeExpress workflows - all designed to be commercially safe & available in beta later this year. adobe.ly/4eebxFi
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After a nearly 20 month journey we are finally going public with our work on video generative models at Adobe! This work started in Adobe Research and then became a collaboration with the Adobe Firefly team who brought it over the finish line. Super proud of everyone involved,
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In our latest work, we introduce personalized residuals for efficient personalization of T2I diffusion models and localized attention-guided sampling that dynamically blends the learned concept into new contexts. #CVPR2024
cusuh.github.io/personalized-r…
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Personalized Residuals for Concept-Driven Text-to-Image Generation
We present personalized residuals and localized attention-guided sampling for efficient concept-driven generation using text-to-image diffusion models. Our method first represents concepts by freezing the
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Found on the internet, from 14 years ago at @CornellECE. Who is this child?
youtube.com/watch?v=i_aqRR…
YouTube
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@JonathanBalloch @AdobeResearch Thank you!!! 🥺🥹 throwback to when we first met because you stole the conference room I booked for my TA office hours
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AMAZING! Congrats @cusuh_ ! @AdobeResearch is lucky to have you!!
Cusuh@cusuh_
Defended my PhD today!!! 🥳 Thank you to everyone who supported me along the way, especially my advisor @jhhays for taking a chance on my clueless little undergrad self and putting up with me ever since. I'll be joining Adobe next month as a research scientist under @aseemaa!
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MCM will part of the "Diffusion for Geometry" session tomorrow (Wed 8/9) at 9am in room 502 AB. Hope to see you there! :)
#SIGGRAPH2023
Cusuh@cusuh_
I'll be presenting our work on multimodal conditioning modules (MCM) at #SIGGRAPH2023 this week! MCM is a small network that enables multimodal image synthesis using pretrained diffusion models without any direct updates to the diffusion model parameters. mcm-diffusion.github.io
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Thank you to my collaborators (@jhhays, Cynthia, Krishna, Zhifei, and Tobias)!
@mlatgt @AdobeResearch
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I'll be presenting our work on multimodal conditioning modules (MCM) at #SIGGRAPH2023 this week! MCM is a small network that enables multimodal image synthesis using pretrained diffusion models without any direct updates to the diffusion model parameters.
mcm-diffusion.github.io
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Modulating Pretrained Diffusion Models for Multimodal Image Synthesis
abs: arxiv.org/abs/2302.12764
project page: mcm-diffusion.github.io
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