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description= Welcome to my website! I am a fifth-year PhD student focusing in generative AI at the Graphics and Imaging Lab (GRAIL) at UW. My LinkedIn Profile;
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curriculum vitae johanna karras johanna karras johanna karras welcome to my website i am a fifth year phd student focusing in generative ai at the graphics and imaging lab grail at uw my linkedin profile view my github profile curriculum vitae download cv research interests my current research interests lie in generative ai specifically video and image synthesis i am pursuing my phd in the graphics and imaging lab grail at the university of washington advised by ira kemelmacher shlizerman steve seitz and brian curless highlights may 2026 successfully defended my phd april 2026 fit a large scale dataset for fit aware virtual try on is accepted to siggraph 2026 in los angeles ca september 2025 hologarment 360 novel view synthesis of in the wild garments is published on arxiv june 2025 returned to google as phd student researcher april 2025 perturb and revise flexible 3d editing with generative trajectories is accepted to cvpr 2025 in nashville tn december 2024 attended siggraph asia in tokyo japan july 2024 fashion vdm video diffusion model for virtual try on is accepted to siggraph asia 2024 in tokyo japan june 2024 returned to google as phd student researcher september 2023 dreampose fashion image to video synthesis via stable diffusion is published at iccv 2023 in paris france june 2023 started working as a phd student researcher at google september 2021 started my phd at the university of washington in the graphics and imaging lab grail june 2021 graduated caltech with a b s in computer science research projects fit a large scale dataset for fit aware virtual try on siggraph 2026 johanna karras yuanhao wang yingwei li ira kemelmacher shlizerman we introduce fit f it i nclusive t ry on a virtual try on dataset of 1 13m samples covering diverse garment fits each annotated with precise body garment measurements our novel data generation pipeline leverages synthetic garment simulation and photorealistic retexturing then we leverage fit to train a state of the art fit aware virtual try on model equal contribution project page arxiv hologarment 360 novel view synthesis of in the wild garments arxiv 2025 johanna karras yingwei li yasamin jafarian ira kemelmacher shlizerman hologarment synthesizes photorealistic 360 novel views of real world garments in images and videos even in the presence of occlusions wrinkling and significant pose variations we introduce a novel implicit training paradigm with 2d videos and synthetic 3d assets in order to learn in the wild garment novel view synthesis without real world paired data project page arxiv fashion vdm video diffusion model for virtual try on siggraph asia 2024 johanna karras yingwei li nan liu luyang zhu innfarn yoo andreas lugmayr chris lee ira kemelmacher shlizerman given a garment image and person video fashion vdm synthesizes a photorealistic try on video we introduce a state of the art video virtual try on model based on diffusion split classifier free guidance joint image video training for try on and a progressive temporal training scheme project page arxiv perturb and revise flexible 3d editing with generative trajectories cvpr 2025 susung hong johanna karras ricardo martin brualla ira kemelmacher shlizerman we propose perturb and revise which makes possible a variety of nerf editing first we perturb the nerf parameters with random initializations to create a versatile initialization then we revise the edited nerf via generative trajectories project page arxiv dreampose fashion image to video synthesis via stable diffusion iccv 2023 johanna karras aleksander holynski ting chun wang ira kemelmacher shlizerman given a person image and pose sequence dreampose generates an animation of the input person following the pose sequence dreampose equips stable diffusion with pose and image guidance using a novel encoder architecture and finetuning strategy project page arxiv deep neural networks for black hole imaging as an undergraduate at caltech i worked in with professor katie bouman and dr he sun on deep neural network techniques for black hole imaging the project was presented at cvpr 2021 see the project and extended abstract in the github repo internships google phd student researcher summer 2025 google phd student researcher summer 2024 google phd student researcher summer 2023 streetscope inc computer vision ai intern summer 2021 j p morgan software engineering intern summer 2019 microsoft explore intern summer 2018 awards recognition uw reality lab amazon fellowship 2022 google computer science mentorship program 2021 ncwit collegiate award finalist 2020 caltech summer undergraduate research fellowship surf 2020
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