Unsupervised multi-view CNN for salient view selection and 3D interest point detection
We present an unsupervised 3D deep learning framework based on a ubiquitously true
proposition named by us view-object consistency as it states that a 3D object and its …
proposition named by us view-object consistency as it states that a 3D object and its …
Sketch-based shape retrieval via best view selection and a cross-domain similarity measure
Y Xu, J Hu, K Wattanachote, K Zeng… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Retrieving 3D shapes from 2D human sketches has received increasing attention in
computer vision and computer graphics. Most previous methods projected 3D shapes from …
computer vision and computer graphics. Most previous methods projected 3D shapes from …
Fine-tuned but zero-shot 3d shape sketch view similarity and retrieval
G Berardi, Y Gryaditskaya - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
Recently, encoders like ViT (vision transformer) and ResNet have been trained on vast
datasets and utilized as perceptual metrics for comparing sketches and images, as well as …
datasets and utilized as perceptual metrics for comparing sketches and images, as well as …
AestheticNet: deep convolutional neural network for person identification from visual aesthetic
A person's visual aesthetics is an emerging behavioral biometric. Visual aesthetics can be
defined as a person's principles pertaining to their sense of beauty or fondness. Utilizing a …
defined as a person's principles pertaining to their sense of beauty or fondness. Utilizing a …
Rethinking sketch-based 3D shape retrieval: A simple baseline and benchmark reconstruction
Sketch-based 3D shape retrieval has been receiving more and more attention. However,
most previous works have two important problems: complex pipelines of their methods and …
most previous works have two important problems: complex pipelines of their methods and …
A new sketch-based 3D model retrieval method by using composite features
Y Li, H Lei, S Lin, G Luo - Multimedia Tools and Applications, 2018 - Springer
With the rapid growth of available 3D models in various areas, effective methods to search
3D models are becoming increasingly important. In this paper, we propose a new method for …
3D models are becoming increasingly important. In this paper, we propose a new method for …
A learning framework for shape retrieval based on multilayer perceptrons
W Zhou, J Jia - Pattern Recognition Letters, 2019 - Elsevier
With the rapid development of 3D technology, the demand to use and retrieve 3D models
has become increasingly urgent. In this paper, we present a framework that consists of a …
has become increasingly urgent. In this paper, we present a framework that consists of a …
Web3D learning framework for 3D shape retrieval based on hybrid convolutional neural networks
With the rapid development of Web3D technologies, sketch-based model retrieval has
become an increasingly important challenge, while the application of Virtual Reality and 3D …
become an increasingly important challenge, while the application of Virtual Reality and 3D …
View selection for sketch-based 3D model retrieval using visual part shape description
Z Yasseen, A Verroust-Blondet, A Nasri - The Visual Computer, 2017 - Springer
Hand drawings are the imprints of shapes in human's mind. How a human expresses a
shape is a consequence of how he or she visualizes it. A query-by-sketch 3D object retrieval …
shape is a consequence of how he or she visualizes it. A query-by-sketch 3D object retrieval …
Retrieval-Specific View Learning for Sketch-to-Shape Retrieval
Sketch-based 3D shape retrieval (SBSR) can be approached by learning domain-invariant
descriptors or ranking metrics from sketches and 2D view images of 3D shapes rendered …
descriptors or ranking metrics from sketches and 2D view images of 3D shapes rendered …