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Sketch Me That Shoe
2016
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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We investigate the problem of fine-grained sketch-based image retrieval (SBIR), where free-hand human sketches are used as queries to perform instance-level retrieval of images. ...
In this paper, for the first time, we address all these challenges, providing a step towards the capabilities that would underpin a commercial sketch-based image retrieval application. ...
Free-hand sketch is ideal for fine-grained instance-level image retrieval. ...
doi:10.1109/cvpr.2016.93
dblp:conf/cvpr/YuLSXHL16
fatcat:oikyif7ihvck7djhowzmvaboxy
Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning
[article]
2020
arXiv
pre-print
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Image-based 3D shape retrieval (IBSR) aims to find the corresponding 3D shape of a given 2D image from a large 3D shape database. ...
While metric learning with some adaptation techniques seems to be a natural solution to shape similarity learning, the performance is often unsatisfactory for fine-grained shape retrieval. ...
However, their performance is often unsatisfactory for fine-grained shape retrieval. ...
arXiv:2010.12238v2
fatcat:rafxackjgjbprmfvc3zitlmwxe
CustomCut: On-demand Extraction of Customized 3D Parts with 2D Sketches
2016
Computer graphics forum (Print)
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In contrast to earlier work on sketch-based retrieval of predefined parts, our approach can extract arbitrary parts from input shapes and does not rely on a prior segmentation into semantic components. ...
Several applications in shape modeling and exploration require identification and extraction of a 3D shape part matching a 2D sketch. We present CustomCut, an on-demand part extraction algorithm. ...
We address these challenges with a new super-face graph representation (SFG) for a 3D shape. The super-face graph is a discretized yet fine-grained version of the original model. ...
doi:10.1111/cgf.12966
fatcat:rshalrq2djggfdvet5bkl2ee6m
Generative Domain-Migration Hashing for Sketch-to-Image Retrieval
[chapter]
2018
Lecture Notes in Computer Science
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Due to the succinct nature of free-hand sketch drawings, sketch-based image retrieval (SBIR) has abundant practical use cases in consumer electronics. ...
Comprehensive experiments of both category-level and fine-grained SBIR on multiple large-scale datasets demonstrate the consistently balanced superiority of GDH in terms of efficiency, memory costs and ...
(ISN) [56] , 3D shape (3DS) [50] and Triplet Sketch-a-Net (TSN) [55] . ...
doi:10.1007/978-3-030-01216-8_19
fatcat:nbf4lhsfpbafhf3tzblzmkq6mi
FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in Context
[article]
2022
arXiv
pre-print
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2022 pre-print arXiv:2203.02113v1 fatcat:4qf2jiscpzh4nbzr5cx67hxd4i
Each sketch is augmented with its text description. Using our dataset, we study for the first time the problem of the fine-grained image retrieval from freehand scene sketches and sketch captions. ...
In addition, we propose new solutions enabled by our dataset (i) We adopt meta-learning to show how the retrieval model can be fine-tuned to a new user style given just a small set of sketches, (ii) We ...
[42, 46, 60] or 3D shapes [39] . ...
arXiv:2203.02113v2
fatcat:pzyg7m7a25bktdiby7uzkxfvmq
Fine-Grained Image Analysis with Deep Learning: A Survey
[article]
2021
arXiv
pre-print
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image recognition and fine-grained image retrieval. ...
In this paper we present a systematic survey of these advances, where we attempt to re-define and broaden the field of FGIA by consolidating two fundamental fine-grained research areas -- fine-grained ...
Application to 3D Fine-Grained Tasks: Most existing FGIA approaches target 2D fine-grained images and the value of 3D information (e.g., 3D pose labels or 3D shape information) is under-explored. ...
arXiv:2111.06119v2
fatcat:ninawxsjtnf4lndtqquuwl3weq
RealPoint3D: An Efficient Generation Network for 3D Object Reconstruction from a Single Image
2019
IEEE Access
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INDEX TERMS 3D reconstruction, nearest shape retrieval, point cloud generation, single image, projection. ...
the decoder to obtain fine-grained point clouds. ...
Compared with voxel-based projection, the projection of point clouds delineates fine-grained parts. ...
doi:10.1109/access.2019.2914150
fatcat:b2wy72ufing27gmcry2ygu3zve
Interactive Annotation of 3D Object Geometry using 2D Scribbles
[article]
2020
arXiv
pre-print
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2020 pre-print arXiv:2008.10719v1 fatcat:hlocwjx3ijcy7bzqs32x5rlxga
The key idea behind our approach is to exploit strong priors that humans have about the 3D world in order to interactively annotate complete 3D shapes. ...
First, we make an automatic guess of the 3D shape and allow the user to provide feedback about large errors by drawing scribbles in desired 2D views. ...
[23] proposed to learn the correlation between 2D sketches and 3D shape. ...
arXiv:2008.10719v2
fatcat:efmdbwwvq5akjbjrt2ivu7trju
Triplet-Center Loss for Multi-View 3D Object Retrieval
[article]
2018
arXiv
pre-print
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Extensive experimental results on two popular 3D object retrieval benchmarks and two widely-adopted sketch-based 3D shape retrieval benchmarks consistently demonstrate the effectiveness of our proposed ...
features with deep metric learning for 3D object retrieval is more or less neglected. ...
Sketch-based 3D shape retrieval task Considering the huge visual gap between sketch and 3D shape, sketch-based shape retrieval is a quite challenging problem. ...
arXiv:1803.06189v1
fatcat:ief3zlpv35dv3i2ptbouveldy4
SketchLattice: Latticed Representation for Sketch Manipulation
[article]
2021
arXiv
pre-print
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leverages the structural information of drawing orders using sequential RNN-based methods. ...
Existing work predominantly utilizes either, (i) a pixelative format that treats sketches as natural images employing off-the-shelf CNN-based networks, or (ii) an elaborately designed vector format that ...
Cross-domain generative learning for fine-
grained sketch-based image retrieval. ...
arXiv:2108.11636v1
fatcat:ytlolhn4sfhgbg2ekqqdekgmma
Triplet-Center Loss for Multi-view 3D Object Retrieval
2018
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
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Extensive experimental results on two popular 3D object retrieval benchmarks and two widely-adopted sketch-based 3D shape retrieval benchmarks consistently demonstrate the effectiveness of our proposed ...
features with deep metric learning for 3D object retrieval is more or less neglected. ...
Sketch-based 3D shape retrieval task Considering the huge visual gap between sketch and 3D shape, sketch-based shape retrieval is a quite challenging problem. ...
doi:10.1109/cvpr.2018.00208
dblp:conf/cvpr/HeZZBB18
fatcat:fezd3t3durgghjcb5xxtbdauby
Open Cross-Domain Visual Search
[article]
2020
arXiv
pre-print
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Our approach is competitive with respect to existing closed settings, where we obtain state-of-the-art results on several benchmarks for three sketch-based search tasks. ...
For example, we may want to sketch an airplane and retrieve photographs of airplanes. Despite considerable progress, the search occurs in a closed setting between two pre-defined domains. ...
Many-shot sketch-based 3D shape retrieval Setup Sketch-based 3D shape retrieval focuses on retrieving 3D shape models from a sketch query, where both training and testing samples share the same set of ...
arXiv:1911.08621v2
fatcat:gbdy2ltxufa37jop47mjrvtegi
Open cross-domain visual search
2020
Computer Vision and Image Understanding
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Our approach is competitive with respect to existing closed settings, where we obtain state-of-the-art results on several benchmarks for three sketch-based search tasks. ...
For example, we may want to sketch an airplane and retrieve photographs of airplanes. Despite considerable progress, the search occurs in a closed setting between two pre-defined domains. ...
Many-shot sketch-based 3D shape retrieval Setup. ...
doi:10.1016/j.cviu.2020.103045
fatcat:fpwc73iq6bhcre4gzpvuipfvl4
Mixing realities for sketch retrieval in Virtual Reality
[article]
2019
arXiv
pre-print
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While these techniques allow for mid-air sketching of basic shapes, it remains difficult for users to create detailed and comprehensive 3D models. ...
In our work, we focus on supporting the user in designing the virtual environment around them by enhancing sketch-based interfaces with a supporting system for interactive model retrieval. ...
[41] , where they developed a learning model based on triplets to describe the images considering fine-grained similarities. This approach was extensively used in recent works like in Wang et al. ...
arXiv:1910.11637v2
fatcat:ru6btg7v2ff6thbkhlf57hq4ai
Sketch-to-Design: Context-Based Part Assembly
2013
Computer graphics forum (Print)
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We rethink model design as navigating through different possible combinations of part assemblies based on a large collection of pre-segmented 3D models. ...
The sketched strokes are analyzed individually and in context with the other parts to generate relevant shape suggestions via a design gallery interface. ...
Sketch-based retrieval. Inspired by Funkhouser et al. [FMK * 03], many image-based approaches have been proposed towards sketch-based shape retrieval (see [SXY * 11] and references therein). ...
doi:10.1111/cgf.12200
fatcat:rmitw4e7tffjdklmu5ilaqhyyy
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