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检索条件"任意字段=2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023"
11753 条 记 录,以下是291-300 订阅
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Robust 3D Shape Classification via Non-local Graph Attention Network
Robust 3D Shape Classification via Non-local Graph Attention...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Qin, Shengwei Li, Zhong Liu, Ligang Zhejiang Sci Tech Univ Sch Mech Engn Hangzhou Peoples R China Huzhou Univ Sch Informat Huzhou Peoples R China Zhejiang Sci Tech Univ Sch Sci Hangzhou Zhejiang Peoples R China Univ Sci & Technol China Sch Math Sci Hefei Anhui Peoples R China
We introduce a non-local graph attention network (NL-GAT), which generates a novel global descriptor through two sub-networks for robust 3D shape classification. In the first sub-network, we capture the global relatio... 详细信息
来源: 评论
Modernizing Old Photos Using Multiple References via Photorealistic Style Transfer
Modernizing Old Photos Using Multiple References via Photore...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Gunawan, Agus Kim, Soo Ye Sim, Hyeonjun Lee, Jae-Ho Kim, Munchurl Korea Adv Inst Sci & Technol Daejeon South Korea Adobe Res San Francisco CA USA ETRI Daejeon South Korea Qualcomm San Diego CA USA
This paper firstly presents old photo modernization using multiple references by performing stylization and enhancement in a unified manner. In order to modernize old photos, we propose a novel multi-reference-based o... 详细信息
来源: 评论
Learning Distortion Invariant Representation for Image Restoration from A Causality Perspective
Learning Distortion Invariant Representation for Image Resto...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Li, Xin Li, Bingchen Jin, Xin Lan, Cuiling Chen, Zhibo Univ Sci & Technol China Hefei Peoples R China Eastern Inst Adv Study Ningbo Peoples R China Microsoft Res Asia Beijing Peoples R China
In recent years, we have witnessed the great advancement of Deep neural networks (DNNs) in image restoration. However, a critical limitation is that they cannot generalize well to real-world degradations with differen... 详细信息
来源: 评论
Learning Sample Relationship for Exposure Correction
Learning Sample Relationship for Exposure Correction
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Huang, Jie Zhao, Feng Zhou, Man Xiao, Jie Zheng, Naishan Zheng, Kaiwen Xiong, Zhiwei Univ Sci & Technol China Hefei Peoples R China
Exposure correction task aims to correct the underexposure and its adverse overexposure images to the normal exposure in a single network. As well recognized, the optimization flow is the opposite. Despite great advan... 详细信息
来源: 评论
ABLE-NeRF: Attention-Based Rendering with Learnable Embeddings for Neural Radiance Field
ABLE-NeRF: Attention-Based Rendering with Learnable Embeddin...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Tang, Zhe Jun Cham, Tat-Jen Zhao, Haiyu Nanyang Technol Univ S Lab Singapore Singapore Nanyang Technol Univ Singapore Singapore SenseTime Res Singapore Singapore
Neural Radiance Field (NeRF) is a popular method in representing 3D scenes by optimising a continuous volumetric scene function. Its large success which lies in applying volumetric rendering (VR) is also its Achilles&... 详细信息
来源: 评论
Equivalent Transformation and Dual Stream Network Construction for Mobile Image Super-Resolution
Equivalent Transformation and Dual Stream Network Constructi...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Chao, Jiahao Zhou, Zhou Gao, Hongfan Gong, Jiali Yang, Zhengfeng Zeng, Zhenbing Dehbi, Lydia East China Normal Univ Shanghai Peoples R China Chinese Acad Sci Chengdu Inst Comp Applicat Beijing Peoples R China
In recent years, there has been an increasing demand for real-time super-resolution networks on mobile devices. To address this issue, many lightweight super-resolution models have been proposed. However, these models... 详细信息
来源: 评论
StyleCineGAN: Landscape Cinemagraph Generation using a Pre-trained StyleGAN
StyleCineGAN: Landscape Cinemagraph Generation using a Pre-t...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Choi, Jongwoo Seo, Kwanggyoon Ashtari, Amirsaman Noh, Junyong Korea Adv Inst Sci & Technol Visual Media Lab Daejeon South Korea
We propose a method that can generate cinemagraphs automatically from a still landscape image using a pre-trained StyleGAN. Inspired by the success of recent unconditional video generation, we leverage a powerful pre-... 详细信息
来源: 评论
6D-Diff: A Keypoint Diffusion Framework for 6D Object Pose Estimation
6D-Diff: A Keypoint Diffusion Framework for 6D Object Pose E...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Xu, Li Qui, Haoxuan Cai, Yujun Liu, Jun Singapore Univ Technol & Design Singapore Singapore Nanyang Technol Univ Singapore Singapore
Estimating the 6D object pose from a single RGB image often involves noise and indeterminacy due to challenges such as occlusions and cluttered backgrounds. Meanwhile, diffusion models have shown appealing performance... 详细信息
来源: 评论
Bidirectional Cross-Modal Knowledge Exploration for Video recognition with Pre-trained vision-Language Models
Bidirectional Cross-Modal Knowledge Exploration for Video Re...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Wu, Wenhao Wang, Xiaohan Luo, Haipeng Wang, Jingdong Yang, Yi Ouyang, Wanli Univ Sydney Camperdown NSW Australia Baidu Inc Beijing Peoples R China Zhejiang Univ Hangzhou Peoples R China Univ Chinese Acad Sci Beijing Peoples R China Shanghai AI Lab Shanghai Peoples R China
vision-language models (VLMs) pre-trained on large-scale image-text pairs have demonstrated impressive transferability on various visual tasks. Transferring knowledge from such powerful VLMs is a promising direction f... 详细信息
来源: 评论
Zero-shot Referring Image Segmentation with Global-Local Context Features
Zero-shot Referring Image Segmentation with Global-Local Con...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Yu, Seonghoon Seo, Paul Hongsuck Son, Jeany GIST AI Grad Sch Gwangju South Korea Google Res Mountain View CA USA
Referring image segmentation (RIS) aims to find a segmentation mask given a referring expression grounded to a region of the input image. Collecting labelled datasets for this task, however, is notoriously costly and ... 详细信息
来源: 评论