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3D Car Shape Reconstruction from a Single Sketch Image
2019
Motion, Interaction and Games on - MIG '19
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In this paper, we present a system to reconstruct the 3D car shape from a single 2D sketch image. ...
To learn the correlation between 2D sketches and 3D cars, we propose a Variational Autoencoder deep neural network that takes a 2D sketch and generates a set of multiview depth & mask images, which are ...
Since a single outline sketch cannot provide enough information on 3D car reconstruction, our new framework estimates such missing information from a 3D car shape database. ...
doi:10.1145/3359566.3364693
dblp:conf/mig/NozawaSHM19
fatcat:3ugz3iesrndllakcpdgyp4vcyi
3D car shape reconstruction from a contour sketch using GAN and lazy learning
2021
The Visual Computer
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To tackle the challenge, we propose a novel system to reconstruct a 3D car using a single sketch image. ...
with a single sketch. ...
In this paper, we propose a novel system to reconstruct a 3D car using a single sketch image, enabling an effective car shape creation process. ...
doi:10.1007/s00371-020-02024-y
fatcat:q62huylxcjej7js2i7fqcme7kq
Learning Shape Priors for Single-View 3D Completion And Reconstruction
[chapter]
2018
Lecture Notes in Computer Science
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The problem of single-view 3D shape completion or reconstruction is challenging, because among the many possible shapes that explain an observation, most are implausible and do not correspond to natural ...
given a single-view input. ...
In this paper, we aim to push the limits of 3D shape completion from a single depth image, and of 3D shape reconstruction from a single color image. ...
doi:10.1007/978-3-030-01252-6_40
fatcat:hb2hfm5cgvho3h63owzvhfwczi
Learning Shape Priors for Single-View 3D Completion and Reconstruction
[article]
2018
arXiv
pre-print
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The problem of single-view 3D shape completion or reconstruction is challenging, because among the many possible shapes that explain an observation, most are implausible and do not correspond to natural ...
given a single-view input. ...
In this paper, we aim to push the limits of 3D shape completion from a single depth image, and of 3D shape reconstruction from a single color image. ...
arXiv:1809.05068v1
fatcat:jd24yzcwkvcaflxh6wqxqhujce
Sketch2Mesh: Reconstructing and Editing 3D Shapes from Sketches
[article]
2021
arXiv
pre-print
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Reconstructing 3D shape from 2D sketches has long been an open problem because the sketches only provide very sparse and ambiguous information. ...
Furthermore, it can be used for shape refinement given only single pen strokes. ...
Meanwhile Single View Reconstruction (SVR) approaches have progressed rapidly thanks to the introduc-* Equal contribution We propose a pipeline for reconstructing and editing 3D shapes from line drawings ...
arXiv:2104.00482v2
fatcat:kmss74g3vzeoflmq7u73ucxcqy
Sketch2Mesh: Reconstructing and Editing 3D Shapes from Sketches
2021
2021 IEEE/CVF International Conference on Computer Vision (ICCV)
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Reconstructing 3D shape from 2D sketches has long been an open problem because the sketches only provide very sparse and ambiguous information. ...
Furthermore, it can be used for shape refinement given only single pen strokes. ...
We propose a pipeline for reconstructing and editing 3D shapes from line drawings. We train an encoder/decoder architecture to regress surface meshes from synthetic sketches. ...
doi:10.1109/iccv48922.2021.01278
fatcat:kinxnjjte5ht5liizf6sc4c5di
Sketch2Model: View-Aware 3D Modeling from Single Free-Hand Sketches
[article]
2021
arXiv
pre-print
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We investigate the problem of generating 3D meshes from single free-hand sketches, aiming at fast 3D modeling for novice users. ...
It can be regarded as a single-view reconstruction problem, but with unique challenges, brought by the variation and conciseness of sketches. ...
Related Work
Single-View 3D Reconstruction Recovering 3D geometry from a single image is an illposed problem. ...
arXiv:2105.06663v1
fatcat:kwvmy2tdizcsxfyn264nfa53ge
MarrNet: 3D Shape Reconstruction via 2.5D Sketches
[article]
2017
arXiv
pre-print
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3D object reconstruction from a single image is a highly under-determined problem, requiring strong prior knowledge of plausible 3D shapes. ...
First, compared to full 3D shape, 2.5D sketches are much easier to be recovered from a 2D image; models that recover 2.5D sketches are also more likely to transfer from synthetic to real data. ...
Acknowledgements We thank Shubham Tulsiani for sharing the DRC results, and Chengkai Zhang for the help on shape visualization. ...
arXiv:1711.03129v1
fatcat:7nex5ycjmjhlvagd257okg64zq
Semantic Correspondence via 2D-3D-2D Cycle
[article]
2020
arXiv
pre-print
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However, most previous methods directly train on correspondences in 2D images, which is end-to-end but loses plenty of information in 3D spaces. ...
In this paper, we propose a new method on predicting semantic correspondences by leveraging it to 3D domain and then project corresponding 3D models back to 2D domain, with their semantic labels. ...
(a) 3D models are reconstructed from single RGB images. (b) Viewpoints are also estimated from RGB images. ...
arXiv:2004.09061v1
fatcat:drgzj7ky2fcb5ir6a35eoct3cq
Self-Supervised 2D Image to 3D Shape Translation with Disentangled Representations
[article]
2021
arXiv
pre-print
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In this paper, we propose SIST, a Self-supervised Image to Shape Translation framework that fulfills three tasks: (i) reconstructing the 3D shape from a single image; (ii) learning disentangled representations ...
We present a framework to translate between 2D image views and 3D object shapes. Recent progress in deep learning enabled us to learn structure-aware representations from a scene. ...
Therefore, traditional methods usually fail to reconstruct the 3D shape obtained from a single view. ...
arXiv:2003.10016v2
fatcat:vprjuqd4bje67dho2ybbh6n7oi
3D Shape Reconstruction from Free-Hand Sketches
[article]
2022
arXiv
pre-print
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Despite great progress achieved in 3D reconstruction from distortion-free line drawings, such as CAD and edge maps, little effort has been made to reconstruct 3D shapes from free-hand sketches. ...
Our code is publicly available at https://github.com/samaonline/3D-Shape-Reconstruction-from-Free-Hand-Sketches. ...
SUMMARY We study a novel task, 3D shape reconstruction from a single-view free-hand sketch. ...
arXiv:2006.09694v2
fatcat:yt46gmnwmngztkngmo32lhlase
Reality3DSketch: Rapid 3D Modeling of Objects from Single Freehand Sketches
[article]
2023
arXiv
pre-print
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A 3D object is generated and placed in the desired location, enabled by our novel neural network with the input of a single sketch. ...
Our neural network can predict the pose of a drawing and can turn a single sketch into a 3D model with view and structural awareness, which addresses the challenge of sparse sketch input and view ambiguity ...
Tianrun Chen acknowledges funding from KOKONI, ...
arXiv:2310.18148v1
fatcat:nsnmzazaezg7nd4tk7zjrc2is4
3D-LatentMapper: View Agnostic Single-View Reconstruction of 3D Shapes
[article]
2022
arXiv
pre-print
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Unlike previous work, our method enables view-agnostic reconstruction of 3D shapes, even in the presence of large occlusions. ...
More specifically, we propose a novel mapping network architecture that learns a mapping between deep features extracted from ViT and CLIP, and the latent space of a base 3D generative model. ...
Another line of work seeks to reconstruct 3D shapes from single or multi-view images. ...
arXiv:2212.02184v1
fatcat:iubi3shwgff5vf5vzzulx6jy2a
SketchSampler: Sketch-based 3D Reconstruction via View-dependent Depth Sampling
[article]
2022
arXiv
pre-print
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Reconstructing a 3D shape based on a single sketch image is challenging due to the large domain gap between a sparse, irregular sketch and a regular, dense 3D shape. ...
Existing works try to employ the global feature extracted from sketch to directly predict the 3D coordinates, but they usually suffer from losing fine details that are not faithful to the input sketch. ...
Reconstructing a 3D shape from a single image is an ill-posed problem that requires strong prior knowledge. ...
arXiv:2208.06880v2
fatcat:i6dzmtae6bdszechg3zk7mvkzu
Topology-Aware Single-Image 3D Shape Reconstruction
2020
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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We make an attempt to address topology-awareness for 3D shape reconstruction. ...
TPWCoder can be directly combined with the existing 3D shape reconstruction pipelines for endto-end training and prediction. ...
detection [61] , depth estimation [31] , image denoising [65] , super-resolution [27] , medical image segmentation [43, 19] , and single-image 3D shape reconstruction [55] . ...
doi:10.1109/cvprw50498.2020.00143
dblp:conf/cvpr/ChenNHKT20
fatcat:m6f7n7qgknfolpwtkk6czz4n4a
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