Zobrazeno 1 - 10
of 1 439
pro vyhledávání: '"P. Zharkov"'
We introduce motion graph, a novel approach to the video prediction problem, which predicts future video frames from limited past data. The motion graph transforms patches of video frames into interconnected graph nodes, to comprehensively describe t
Externí odkaz:
http://arxiv.org/abs/2410.22288
Autor:
Selvaraju, Pratheba, Abrevaya, Victoria Fernandez, Bolkart, Timo, Akkerman, Rick, Ding, Tianyu, Amjadi, Faezeh, Zharkov, Ilya
Reconstructing 3D face models from a single image is an inherently ill-posed problem, which becomes even more challenging in the presence of occlusions. In addition to fewer available observations, occlusions introduce an extra source of ambiguity, w
Externí odkaz:
http://arxiv.org/abs/2410.21629
Autor:
Zharkov, Kirill, Chaikovskii, Mikhail, Osipov, Yefim, Alshaowa, Rahaf, Borisov, Ivan, Kolyubin, Sergey
Robots' behavior and performance are determined both by hardware and software. The design process of robotic systems is a complex journey that involves multiple phases. Throughout this process, the aim is to tackle various criteria simultaneously, ev
Externí odkaz:
http://arxiv.org/abs/2410.07865
Autor:
Chen, Tianyi, Qu, Xiaoyi, Aponte, David, Banbury, Colby, Ko, Jongwoo, Ding, Tianyu, Ma, Yong, Lyapunov, Vladimir, Zharkov, Ilya, Liang, Luming
Structured pruning is one of the most popular approaches to effectively compress the heavy deep neural networks (DNNs) into compact sub-networks while retaining performance. The existing methods suffer from multi-stage procedures along with significa
Externí odkaz:
http://arxiv.org/abs/2409.09085
Autor:
Gong, Yifan, Zhan, Zheng, Li, Yanyu, Idelbayev, Yerlan, Zharkov, Andrey, Aberman, Kfir, Tulyakov, Sergey, Wang, Yanzhi, Ren, Jian
Good weight initialization serves as an effective measure to reduce the training cost of a deep neural network (DNN) model. The choice of how to initialize parameters is challenging and may require manual tuning, which can be time-consuming and prone
Externí odkaz:
http://arxiv.org/abs/2407.11966
Diffusion transformers (DiT) have become the de facto choice for generating high-quality images and videos, largely due to their scalability, which enables the construction of larger models for enhanced performance. However, the increased size of the
Externí odkaz:
http://arxiv.org/abs/2407.01425
Publikováno v:
HemaSphere, Vol 6, Pp 1526-1527 (2022)
Externí odkaz:
https://doaj.org/article/a875932a94044e1ebca21d805ba8461e
Existing angle-based contour descriptors suffer from lossy representation for non-starconvex shapes. By and large, this is the result of the shape being registered with a single global inner center and a set of radii corresponding to a polar coordina
Externí odkaz:
http://arxiv.org/abs/2404.08292
Autor:
Wang, Guangzhi, Chen, Tianyi, Ghasedi, Kamran, Wu, HsiangTao, Ding, Tianyu, Nuesmeyer, Chris, Zharkov, Ilya, Kankanhalli, Mohan, Liang, Luming
Face attribute editing plays a pivotal role in various applications. However, existing methods encounter challenges in achieving high-quality results while preserving identity, editing faithfulness, and temporal consistency. These challenges are root
Externí odkaz:
http://arxiv.org/abs/2404.08111
Autor:
Gong, Yifan, Zhan, Zheng, Jin, Qing, Li, Yanyu, Idelbayev, Yerlan, Liu, Xian, Zharkov, Andrey, Aberman, Kfir, Tulyakov, Sergey, Wang, Yanzhi, Ren, Jian
One highly promising direction for enabling flexible real-time on-device image editing is utilizing data distillation by leveraging large-scale text-to-image diffusion models to generate paired datasets used for training generative adversarial networ
Externí odkaz:
http://arxiv.org/abs/2401.06127