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pro vyhledávání: '"Trevithick, A."'
Autor:
Trevithick, Alex, Paiss, Roni, Henzler, Philipp, Verbin, Dor, Wu, Rundi, Alzayer, Hadi, Gao, Ruiqi, Poole, Ben, Barron, Jonathan T., Holynski, Aleksander, Ramamoorthi, Ravi, Srinivasan, Pratul P.
Novel-view synthesis techniques achieve impressive results for static scenes but struggle when faced with the inconsistencies inherent to casual capture settings: varying illumination, scene motion, and other unintended effects that are difficult to
Externí odkaz:
http://arxiv.org/abs/2412.07696
Autor:
Wu, Rundi, Gao, Ruiqi, Poole, Ben, Trevithick, Alex, Zheng, Changxi, Barron, Jonathan T., Holynski, Aleksander
We present CAT4D, a method for creating 4D (dynamic 3D) scenes from monocular video. CAT4D leverages a multi-view video diffusion model trained on a diverse combination of datasets to enable novel view synthesis at any specified camera poses and time
Externí odkaz:
http://arxiv.org/abs/2411.18613
We introduce RealmDreamer, a technique for generation of general forward-facing 3D scenes from text descriptions. Our technique optimizes a 3D Gaussian Splatting representation to match complex text prompts. We initialize these splats by utilizing th
Externí odkaz:
http://arxiv.org/abs/2404.07199
Autor:
Trevithick, Alex, Chan, Matthew, Takikawa, Towaki, Iqbal, Umar, De Mello, Shalini, Chandraker, Manmohan, Ramamoorthi, Ravi, Nagano, Koki
3D-aware Generative Adversarial Networks (GANs) have shown remarkable progress in learning to generate multi-view-consistent images and 3D geometries of scenes from collections of 2D images via neural volume rendering. Yet, the significant memory and
Externí odkaz:
http://arxiv.org/abs/2401.02411
Autor:
Lin, Kai-En, Trevithick, Alex, Cheng, Keli, Sarkis, Michel, Ghafoorian, Mohsen, Bi, Ning, Reitmayr, Gerhard, Ramamoorthi, Ravi
Portrait synthesis creates realistic digital avatars which enable users to interact with others in a compelling way. Recent advances in StyleGAN and its extensions have shown promising results in synthesizing photorealistic and accurate reconstructio
Externí odkaz:
http://arxiv.org/abs/2306.17123
Autor:
Trevithick, Alex, Chan, Matthew, Stengel, Michael, Chan, Eric R., Liu, Chao, Yu, Zhiding, Khamis, Sameh, Chandraker, Manmohan, Ramamoorthi, Ravi, Nagano, Koki
We present a one-shot method to infer and render a photorealistic 3D representation from a single unposed image (e.g., face portrait) in real-time. Given a single RGB input, our image encoder directly predicts a canonical triplane representation of a
Externí odkaz:
http://arxiv.org/abs/2305.02310
Autor:
Gu, Jiatao, Trevithick, Alex, Lin, Kai-En, Susskind, Josh, Theobalt, Christian, Liu, Lingjie, Ramamoorthi, Ravi
Novel view synthesis from a single image requires inferring occluded regions of objects and scenes whilst simultaneously maintaining semantic and physical consistency with the input. Existing approaches condition neural radiance fields (NeRF) on loca
Externí odkaz:
http://arxiv.org/abs/2302.10109
Autor:
Nathan T. Harvey, BSc, MBBS (Hon), Debra J. Palmer, BSc, BND, PhD, Paige Tucker, BSc, MBBS, Aron Chakera, MBBS (Hon), MRCP (UK), DPhil, Rachael Foster, MBBS (Hon), Wai Lim, MBBS, PhD, Richard W. Trevithick, Benjamin A. Wood, MBBS
Publikováno v:
JAAD International, Vol 15, Iss , Pp 51-58 (2024)
Background: Cutaneous squamous cell carcinoma is a significant cause of morbidity for immunosuppressed patients such as organ transplant recipients; however, histological parameters which predict the likelihood of tumor progression are typically base
Externí odkaz:
https://doaj.org/article/05eaab6af3534285a164eaddc0e5f3c7
Autor:
Rolla, Julie, Arakaki, Dean, Clowdus, Maximilian, Connolly, Amy, Debolt, Ryan, Deer, Leo, Fahimi, Ethan, Ferstl, Eliot, Gourapura, Suren, Harris, Corey, Letwin, Luke, Machtay, Alex, Patton, Alex, Pfendner, Carl, Sbrocco, Cade, Sinha, Tom, Sipe, Ben, Staats, Kai, Trevithick, Jacob, Wissel, Stephanie
Evolutionary algorithms are a type of artificial intelligence that utilize principles of evolution to efficiently determine solutions to defined problems. These algorithms are particularly powerful at finding solutions that are too complex to solve w
Externí odkaz:
http://arxiv.org/abs/2112.00197
Autor:
Harvey, Nathan T., Palmer, Debra J., Tucker, Paige, Chakera, Aron, Foster, Rachael, Lim, Wai, Trevithick, Richard W., Wood, Benjamin A.
Publikováno v:
In JAAD International June 2024 15:51-58