Zobrazeno 1 - 10
of 1 194
pro vyhledávání: '"A. P. Skorokhodov"'
Autor:
Bahmani, Sherwin, Skorokhodov, Ivan, Siarohin, Aliaksandr, Menapace, Willi, Qian, Guocheng, Vasilkovsky, Michael, Lee, Hsin-Ying, Wang, Chaoyang, Zou, Jiaxu, Tagliasacchi, Andrea, Lindell, David B., Tulyakov, Sergey
Modern text-to-video synthesis models demonstrate coherent, photorealistic generation of complex videos from a text description. However, most existing models lack fine-grained control over camera movement, which is critical for downstream applicatio
Externí odkaz:
http://arxiv.org/abs/2407.12781
Autor:
Fang, Yuwei, Menapace, Willi, Siarohin, Aliaksandr, Chen, Tsai-Shien, Wang, Kuan-Chien, Skorokhodov, Ivan, Neubig, Graham, Tulyakov, Sergey
Existing text-to-video diffusion models rely solely on text-only encoders for their pretraining. This limitation stems from the absence of large-scale multimodal prompt video datasets, resulting in a lack of visual grounding and restricting their ver
Externí odkaz:
http://arxiv.org/abs/2407.06304
Autor:
Gu, Jing, Fang, Yuwei, Skorokhodov, Ivan, Wonka, Peter, Du, Xinya, Tulyakov, Sergey, Wang, Xin Eric
Video editing is a cornerstone of digital media, from entertainment and education to professional communication. However, previous methods often overlook the necessity of comprehensively understanding both global and local contexts, leading to inaccu
Externí odkaz:
http://arxiv.org/abs/2406.12831
Autor:
Zhang, Zhixing, Li, Yanyu, Wu, Yushu, Xu, Yanwu, Kag, Anil, Skorokhodov, Ivan, Menapace, Willi, Siarohin, Aliaksandr, Cao, Junli, Metaxas, Dimitris, Tulyakov, Sergey, Ren, Jian
Diffusion-based video generation models have demonstrated remarkable success in obtaining high-fidelity videos through the iterative denoising process. However, these models require multiple denoising steps during sampling, resulting in high computat
Externí odkaz:
http://arxiv.org/abs/2406.04324
Autor:
Bahmani, Sherwin, Liu, Xian, Yifan, Wang, Skorokhodov, Ivan, Rong, Victor, Liu, Ziwei, Liu, Xihui, Park, Jeong Joon, Tulyakov, Sergey, Wetzstein, Gordon, Tagliasacchi, Andrea, Lindell, David B.
Recent techniques for text-to-4D generation synthesize dynamic 3D scenes using supervision from pre-trained text-to-video models. However, existing representations for motion, such as deformation models or time-dependent neural representations, are l
Externí odkaz:
http://arxiv.org/abs/2403.17920
Autor:
Menapace, Willi, Siarohin, Aliaksandr, Skorokhodov, Ivan, Deyneka, Ekaterina, Chen, Tsai-Shien, Kag, Anil, Fang, Yuwei, Stoliar, Aleksei, Ricci, Elisa, Ren, Jian, Tulyakov, Sergey
Contemporary models for generating images show remarkable quality and versatility. Swayed by these advantages, the research community repurposes them to generate videos. Since video content is highly redundant, we argue that naively bringing advances
Externí odkaz:
http://arxiv.org/abs/2402.14797
Autor:
Qian, Guocheng, Cao, Junli, Siarohin, Aliaksandr, Kant, Yash, Wang, Chaoyang, Vasilkovsky, Michael, Lee, Hsin-Ying, Fang, Yuwei, Skorokhodov, Ivan, Zhuang, Peiye, Gilitschenski, Igor, Ren, Jian, Ghanem, Bernard, Aberman, Kfir, Tulyakov, Sergey
We introduce Amortized Text-to-Mesh (AToM), a feed-forward text-to-mesh framework optimized across multiple text prompts simultaneously. In contrast to existing text-to-3D methods that often entail time-consuming per-prompt optimization and commonly
Externí odkaz:
http://arxiv.org/abs/2402.00867
Autor:
Bahmani, Sherwin, Skorokhodov, Ivan, Rong, Victor, Wetzstein, Gordon, Guibas, Leonidas, Wonka, Peter, Tulyakov, Sergey, Park, Jeong Joon, Tagliasacchi, Andrea, Lindell, David B.
Recent breakthroughs in text-to-4D generation rely on pre-trained text-to-image and text-to-video models to generate dynamic 3D scenes. However, current text-to-4D methods face a three-way tradeoff between the quality of scene appearance, 3D structur
Externí odkaz:
http://arxiv.org/abs/2311.17984
Autor:
Liu, Xian, Ren, Jian, Siarohin, Aliaksandr, Skorokhodov, Ivan, Li, Yanyu, Lin, Dahua, Liu, Xihui, Liu, Ziwei, Tulyakov, Sergey
Despite significant advances in large-scale text-to-image models, achieving hyper-realistic human image generation remains a desirable yet unsolved task. Existing models like Stable Diffusion and DALL-E 2 tend to generate human images with incoherent
Externí odkaz:
http://arxiv.org/abs/2310.08579
Autor:
Maxim V. Skorokhodov
Publikováno v:
Литературный факт, Vol 3, Iss 33, Pp 261-289 (2024)
The article reveals the main milestones of Konstantin G. Paustovsky’s creative cooperation with the editors of the journals “Znamya” and “Novyi Mir,” in which The Story of a Life was published. Identified and briefly characterized lifetime
Externí odkaz:
https://doaj.org/article/2046e34fbd1b4ec588cf59173594e824
