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Papers Geometric Matching

“Geometric Matching” 태그가 달린 논문 53편 · 필터 해제

C-VTON: Context-Driven Image-Based Virtual Try-On Network

2022-12-08 · Benjamin Fele, Ajda Lampe, Peter Peer, Vitomir Štruc

Image-based virtual try-on techniques have shown great promise for enhancing the user-experience and improving customer satisfaction on fashion-oriented e-commerce platforms. However, existing techniques are currently st…

Geometric MatchingVirtual Try-on

Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence

2022-09-19 · Sunghwan Hong, Seokju Cho, Seungryong Kim, Stephen Lin

We present a novel architecture for dense correspondence. The current state-of-the-art are Transformer-based approaches that focus on either feature descriptors or cost volume aggregation. However, they generally aggrega…

Geometric MatchingSemantic correspondence

Scaling and compressing melodies using geometric similarity measures

2022-09-19 · Luis Evaristo Caraballo, José Miguel Díaz-Báñez, Fabio Rodríguez, Vanesa Sánchez-Canales 외

Melodic similarity measurement is of key importance in music information retrieval. In this paper, we use geometric matching techniques to measure the similarity between two melodies. We represent music as sets of points…

Audio CompressionGeometric MatchingInformation RetrievalMusic Information Retrieval+1

Correlation Verification for Image Retrieval

2022-04-04 · CVPR 2022 1 · Seongwon Lee, Hongje Seong, Suhyeon Lee, Euntai Kim

Geometric verification is considered a de facto solution for the re-ranking task in image retrieval. In this study, we propose a novel image retrieval re-ranking network named Correlation Verification Networks (CVNet). O…

Feature CorrelationGeometric MatchingImage RetrievalRe-Ranking+1

DKM: Dense Kernelized Feature Matching for Geometry Estimation

2022-02-01 · CVPR 2023 1 · Johan Edstedt, Ioannis Athanasiadis, Mårten Wadenbäck, Michael Felsberg

Feature matching is a challenging computer vision task that involves finding correspondences between two images of a 3D scene. In this paper we consider the dense approach instead of the more common sparse paradigm, thus…

Camera Pose EstimationGeometric MatchingImage MatchingPose Estimation+1

Full Transformer Framework for Robust Point Cloud Registration with Deep Information Interaction

2021-12-17 · Guangyan Chen, Meiling Wang, Yufeng Yue, Qingxiang Zhang 외

Recent Transformer-based methods have achieved advanced performance in point cloud registration by utilizing advantages of the Transformer in order-invariance and modeling dependency to aggregate information. However, th…

Geometric MatchingPoint Cloud Registration

ScaleNet: A Shallow Architecture for Scale Estimation

2021-12-09 · CVPR 2022 1 · Axel Barroso-Laguna, Yurun Tian, Krystian Mikolajczyk

In this paper, we address the problem of estimating scale factors between images. We formulate the scale estimation problem as a prediction of a probability distribution over scale factors. We design a new architecture, …

3D ReconstructionCamera Pose EstimationGeometric MatchingPose Estimation

Arbitrary Virtual Try-On Network: Characteristics Preservation and Trade-off between Body and Clothing

2021-11-24 · Yu Liu, Mingbo Zhao, Zhao Zhang, Haijun Zhang 외

Deep learning based virtual try-on system has achieved some encouraging progress recently, but there still remain several big challenges that need to be solved, such as trying on arbitrary clothes of all types, trying on…

Geometric MatchingVirtual Try-on

PDC-Net+: Enhanced Probabilistic Dense Correspondence Network

2021-09-28 · Prune Truong, Martin Danelljan, Radu Timofte, Luc van Gool

Establishing robust and accurate correspondences between a pair of images is a long-standing computer vision problem with numerous applications. While classically dominated by sparse methods, emerging dense approaches of…

3D ReconstructionGeometric MatchingImage-Based LocalizationImage Manipulation+5

Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence

2021-09-11 · Juhong Min, SeungWook Kim, Minsu Cho

Despite advances in feature representation, leveraging geometric relations is crucial for establishing reliable visual correspondences under large variations of images. In this work we introduce a Hough transform perspec…

Geometric MatchingTranslation

Object-Augmented RGB-D SLAM for Wide-Disparity Relocalisation

2021-08-05 · Yuhang Ming, Xingrui Yang, Andrew Calway

We propose a novel object-augmented RGB-D SLAM system that is capable of constructing a consistent object map and performing relocalisation based on centroids of objects in the map. The approach aims to overcome the view…

Geometric MatchingObject

Protein-protein interactions enhance the thermal resilience of SpyRing enzymes: a molecular dynamic simulation study

2021-07-28 · Qi Gao, Dengming Ming

Recently a technique based on the interaction between adhesion proteins extracted from Streptococcus pyogenes, known as SpyRing, has been widely used to improve the thermal resilience of enzymes, the assembly of biostruc…

Geometric Matching

Deep Matching Prior: Test-Time Optimization for Dense Correspondence

2021-06-06 · ICCV 2021 10 · Sunghwan Hong, Seungryong Kim

Conventional techniques to establish dense correspondences across visually or semantically similar images focused on designing a task-specific matching prior, which is difficult to model. To overcome this, recent learnin…

Dense Pixel Correspondence EstimationGeometric Matching

Spatial Content Alignment For Pose Transfer

2021-03-31 · Wing-Yin Yu, Lai-Man Po, Yuzhi Zhao, Jingjing Xiong 외

Due to unreliable geometric matching and content misalignment, most conventional pose transfer algorithms fail to generate fine-trained person images. In this paper, we propose a novel framework Spatial Content Alignment…

Geometric MatchingPose Transfer

Convolutional Hough Matching Networks

2021-03-31 · CVPR 2021 1 · Juhong Min, Minsu Cho

Despite advances in feature representation, leveraging geometric relations is crucial for establishing reliable visual correspondences under large variations of images. In this work we introduce a Hough transform perspec…

Geometric MatchingSemantic correspondenceTranslation

Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic Vehicles

2021-03-25 · CVPR 2022 1 · Qing Liu, Adam Kortylewski, Zhishuai Zhang, Zizhang Li 외

Part segmentations provide a rich and detailed part-level description of objects. However, their annotation requires an enormous amount of work, which makes it difficult to apply standard deep learning methods. In this p…

Domain AdaptationGeometric MatchingSegmentationTransfer Learning+1

Learning Accurate Dense Correspondences and When to Trust Them

2021-01-05 · CVPR 2021 1 · Prune Truong, Martin Danelljan, Luc van Gool, Radu Timofte

Establishing dense correspondences between a pair of images is an important and general problem. However, dense flow estimation is often inaccurate in the case of large displacements or homogeneous regions. For most appl…

3D ReconstructionDense Pixel Correspondence EstimationGeometric MatchingImage Manipulation+3

GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network

2020-09-16 · NeurIPS 2020 12 · Prune Truong, Martin Danelljan, Luc van Gool, Radu Timofte

The feature correlation layer serves as a key neural network module in numerous computer vision problems that involve dense correspondences between image pairs. It predicts a correspondence volume by evaluating dense sca…

Dense Pixel Correspondence EstimationFeature CorrelationGeometric MatchingOptical Flow Estimation

Facial Expression Retargeting from Human to Avatar Made Easy

2020-08-12 · Juyong Zhang, Keyu Chen, Jianmin Zheng

Facial expression retargeting from humans to virtual characters is a useful technique in computer graphics and animation. Traditional methods use markers or blendshapes to construct a mapping between the human and avatar…

Geometric MatchingTranslationTriplet

Gum-Net: Unsupervised Geometric Matching for Fast and Accurate 3D Subtomogram Image Alignment and Averaging

2020-06-01 · CVPR 2020 6 · Xiangrui Zeng, Min Xu

We propose a Geometric unsupervised matching Net-work (Gum-Net) for finding the geometric correspondence between two images with application to 3D subtomogram alignment and averaging. Subtomogram alignment is the most im…

Electron TomographyGeometric MatchingGPU
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