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检索条件"任意字段=1994 IEEE Computer-Society Conference on Computer Vision and Pattern Recognition"
22886 条 记 录,以下是351-360 订阅
排序:
Scene Graph Driven Text-Prompt Generation for Image Inpainting
Scene Graph Driven Text-Prompt Generation for Image Inpainti...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Shukla, Tripti Maheshwari, Paridhi Singh, Rajhans Shukla, Ankita Kulkarni, Kuldeep Turaga, Pavan Adobe Res India San Jose CA 95110 USA Stanford Univ Stanford CA USA Arizona State Univ Tempe AZ USA
Scene editing methods are undergoing a revolution, driven by text-to-image synthesis methods. Applications in media content generation have benefited from a careful set of engineered text prompts, that have been arriv... 详细信息
来源: 评论
StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On
StableVITON: Learning Semantic Correspondence with Latent Di...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kim, Jeongho Gu, Gyojung Park, Minho Park, Sunghyun Choo, Jaegul Korea Adv Inst Sci & Technol Daejeon South Korea
Given a clothing image and a person image, an image-based virtual try-on aims to generate a customized image that appears natural and accurately reflects the characteristics of the clothing image. In this work, we aim... 详细信息
来源: 评论
Learning from One Continuous Video Stream
Learning from One Continuous Video Stream
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Carreira, Joao King, Michael Patraucean, Viorica Gokal, Dilara Ionescu, Cristian Yang, Yi Zoran, Daniel Heyward, Joseph Doersch, Carl Aytar, Yusuf Damen, Di Liu Zisserman, Andrew Google DeepMind London 1 England Univ Bristol Bristol Avon England Univ Oxford Oxford England
We introduce a framework for online learning from a single continuous video stream - the way people and animals learn, without mini-batches, data augmentation or shuffling. This poses great challenges given the high c... 详细信息
来源: 评论
Language-driven Grasp Detection
Language-driven Grasp Detection
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: An Dinh Vuong Minh Nhat Vu Baoru Huang Nghia Nguyen Hieu Le Thieu Vo Anh Nguyen FPT Software AI Ctr Hanoi Vietnam TU Wien Automat Control Inst Vienna Austria Imperial Coll London London England Ton Duc Thang Univ Ho Chi Minh City Vietnam Univ Liverpool Liverpool Merseyside England
Grasp detection is a persistent and intricate challenge with various industrial applications. Recently, many methods and datasets have been proposed to tackle the grasp detection problem. However, most of them do not ... 详细信息
来源: 评论
RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videos
RGBD Objects in the Wild: Scaling Real-World 3D Object Learn...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Xia, Hongchi Fu, Yang Liu, Sifei Wang, Xiaolong Shanghai Jiao Tong Univ Shanghai Peoples R China Univ Calif San Diego San Diego CA USA NVIDIA Santa Clara CA USA
We introduce a new RGB-D object dataset captured in the wild called WildRGB-D. Unlike most existing real-world object-centric datasets which only come with RGB capturing, the direct capture of the depth channel allows... 详细信息
来源: 评论
DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses
DVMNet: Computing Relative Pose for Unseen Objects Beyond Hy...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhao, Chen Zhang, Tong Dang, Zheng Salzmann, Mathieu Ecole Polytech Fed Lausanne Lausanne Switzerland ClearSpace SA Renens Switzerland
Determining the relative pose of an object between two images is pivotal to the success of generalizable object pose estimation. Existing approaches typically approximate the continuous pose representation with a larg... 详细信息
来源: 评论
SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation
SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Gene...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Liu, Zhixuan Schaldenbrand, Peter Okogwu, Beverley-Claire Peng, Wenxuan Yun, Youngsik Hundt, Andrew Kim, Jihie Oh, Jean Carnegie Mellon Univ Pittsburgh PA 15213 USA Nanyang Technol Univ Singapore Singapore Dongguk Univ Seoul South Korea
Accurate representation in media is known to improve the well-being of the people who consume it. Generative image models trained on large web-crawled datasets such as LAION are known to produce images with harmful st... 详细信息
来源: 评论
PEM: Prototype-based Efficient MaskFormer for Image Segmentation
PEM: Prototype-based Efficient MaskFormer for Image Segmenta...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Cavagnero, Niccolo Rosi, Gabriele Cuttano, Claudia Pistilli, Francesca Ciccone, Marco Averta, Giuseppe Cermelli, Fabio Politecn Torino Turin Italy Focoos AI Rome Italy
Recent transformer-based architectures have shown impressive results in the field of image segmentation. Thanks to their flexibility, they obtain outstanding performance in multiple segmentation tasks, such as semanti... 详细信息
来源: 评论
Language-only Efficient Training of Zero-shot Composed Image Retrieval
Language-only Efficient Training of Zero-shot Composed Image...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Gu, Geonmo Chun, Sanghyuk Kim, Wonjae Kang, Yoohoon Yun, Sangdoo NAVER Vis Seongnam South Korea NAVER AI Lab Bundangdong South Korea
Composed image retrieval (CIR) task takes a composed query of image and text, aiming to search relative images for both conditions. Conventional CIR approaches need a training dataset composed of triplets of query ima... 详细信息
来源: 评论
ParamISP: Learned Forward and Inverse ISPs using Camera Parameters
ParamISP: Learned Forward and Inverse ISPs using Camera Para...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kim, Woohyeok Kim, Geonu Lee, Junyong Lee, Seungyong Baek, Seung-Hwan Cho, Sunghyun POSTECH Pohang South Korea Samsung AI Ctr Toronto Toronto ON Canada Samsung Toronto ON Canada
RAW images are rarely shared mainly due to its excessive data size compared to their sRGB counterparts obtained by camera ISPs. Learning the forward and inverse processes of camera ISPs has been recently demonstrated,... 详细信息
来源: 评论