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of 185
pro vyhledávání: '"Huang, Zhitong"'
We propose the first video diffusion framework for reference-based lineart video colorization. Unlike previous works that rely solely on image generative models to colorize lineart frame by frame, our approach leverages a large-scale pretrained video
Externí odkaz:
http://arxiv.org/abs/2409.12960
This paper presents a novel approach to address the challenging problem of autonomous on-ramp merging, where a self-driving vehicle needs to seamlessly integrate into a flow of vehicles on a multi-lane highway. We introduce the Lane-keeping, Lane-cha
Externí odkaz:
http://arxiv.org/abs/2403.11852
Recent advancements in large-scale text-to-image diffusion models have enabled many applications in image editing. However, none of these methods have been able to edit the layout of single existing images. To address this gap, we propose the first f
Externí odkaz:
http://arxiv.org/abs/2306.13078
We propose the first unified framework UniColor to support colorization in multiple modalities, including both unconditional and conditional ones, such as stroke, exemplar, text, and even a mix of them. Rather than learning a separate model for each
Externí odkaz:
http://arxiv.org/abs/2209.11223
Autor:
Bai, Zhengwei, Wu, Guoyuan, Barth, Matthew J., Liu, Yongkang, Sisbot, Emrah Akin, Oguchi, Kentaro, Huang, Zhitong
Perceiving the environment is one of the most fundamental keys to enabling Cooperative Driving Automation (CDA), which is regarded as the revolutionary solution to addressing the safety, mobility, and sustainability issues of contemporary transportat
Externí odkaz:
http://arxiv.org/abs/2208.10590
Akademický článek
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Publikováno v:
In Transportation Research Part C March 2021 124
Publikováno v:
In Accident Analysis and Prevention March 2021 151
Publikováno v:
In Transportation Research Part C November 2020 120
Publikováno v:
In Optics Communications 1 May 2020 462