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pro vyhledávání: '"Ham, Cusuh"'
Autor:
Ham, Cusuh, Fisher, Matthew, Hays, James, Kolkin, Nicholas, Liu, Yuchen, Zhang, Richard, Hinz, Tobias
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 weights of a pretrained text-conditioned diff
Externí odkaz:
http://arxiv.org/abs/2405.12978
We present multimodal conditioning modules (MCM) for enabling conditional image synthesis using pretrained diffusion models. Previous multimodal synthesis works rely on training networks from scratch or fine-tuning pretrained networks, both of which
Externí odkaz:
http://arxiv.org/abs/2302.12764
We present CoGS, a novel method for the style-conditioned, sketch-driven synthesis of images. CoGS enables exploration of diverse appearance possibilities for a given sketched object, enabling decoupled control over the structure and the appearance o
Externí odkaz:
http://arxiv.org/abs/2203.09554
Autor:
Morningstar, Warren R., Ham, Cusuh, Gallagher, Andrew G., Lakshminarayanan, Balaji, Alemi, Alexander A., Dillon, Joshua V.
Perhaps surprisingly, recent studies have shown probabilistic model likelihoods have poor specificity for out-of-distribution (OOD) detection and often assign higher likelihoods to OOD data than in-distribution data. To ameliorate this issue we propo
Externí odkaz:
http://arxiv.org/abs/2006.09273
Automatic Differentiation Variational Inference (ADVI) is a useful tool for efficiently learning probabilistic models in machine learning. Generally approximate posteriors learned by ADVI are forced to be unimodal in order to facilitate use of the re
Externí odkaz:
http://arxiv.org/abs/2003.01687
Grasping and manipulating objects is an important human skill. Since hand-object contact is fundamental to grasping, capturing it can lead to important insights. However, observing contact through external sensors is challenging because of occlusion
Externí odkaz:
http://arxiv.org/abs/1904.06830
Akademický článek
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Publikováno v:
ACM Transactions on Graphics; Jul2016, Vol. 35 Issue 4, p1-12, 12p
