Zobrazeno 1 - 8
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pro vyhledávání: '"Benny, Yaniv"'
Autor:
Benny, Yaniv, Wolf, Lior
This paper proposes a novel method for omnidirectional 360$\degree$ perception. Most common previous methods relied on equirectangular projection. This representation is easily applicable to 2D operation layers but introduces distortions into the ima
Externí odkaz:
http://arxiv.org/abs/2412.06968
Autor:
Benny, Yaniv, Wolf, Lior
Iterative denoising-based generation, also known as denoising diffusion models, has recently been shown to be comparable in quality to other classes of generative models, and even surpass them. Including, in particular, Generative Adversarial Network
Externí odkaz:
http://arxiv.org/abs/2203.04304
Raven's Progressive Matrices are multiple-choice intelligence tests, where one tries to complete the missing location in a $3\times 3$ grid of abstract images. Previous attempts to address this test have focused solely on selecting the right answer o
Externí odkaz:
http://arxiv.org/abs/2011.00496
Generating images from scene graphs is a challenging task that attracted substantial interest recently. Prior works have approached this task by generating an intermediate layout description of the target image. However, the representation of each ob
Externí odkaz:
http://arxiv.org/abs/2009.10939
We consider the abstract relational reasoning task, which is commonly used as an intelligence test. Since some patterns have spatial rationales, while others are only semantic, we propose a multi-scale architecture that processes each query in multip
Externí odkaz:
http://arxiv.org/abs/2009.09405
We present two new metrics for evaluating generative models in the class-conditional image generation setting. These metrics are obtained by generalizing the two most popular unconditional metrics: the Inception Score (IS) and the Fre'chet Inception
Externí odkaz:
http://arxiv.org/abs/2004.12361
Autor:
Benny, Yaniv, Wolf, Lior
We present a method for simultaneously learning, in an unsupervised manner, (i) a conditional image generator, (ii) foreground extraction and segmentation, (iii) clustering into a two-level class hierarchy, and (iv) object removal and background comp
Externí odkaz:
http://arxiv.org/abs/1912.13471
Autor:
Benny, Yaniv1 (AUTHOR) yanivbenny@mail.tau.ac.il, Galanti, Tomer1 (AUTHOR), Benaim, Sagie1 (AUTHOR), Wolf, Lior1,2 (AUTHOR)
Publikováno v:
International Journal of Computer Vision. May2021, Vol. 129 Issue 5, p1712-1731. 20p.
