Papers 3D Shape Retrieval
“3D Shape Retrieval” 태그가 달린 논문 64편 · 필터 해제
ViewCraft3D: High-Fidelity and View-Consistent 3D Vector Graphics Synthesis
3D vector graphics play a crucial role in various applications including 3D shape retrieval, conceptual design, and virtual reality interactions due to their ability to capture essential structural information with minim…
3D Shape RetrievalVector GraphicsAI Agents in Engineering Design: A Multi-Agent Framework for Aesthetic and Aerodynamic Car Design
We introduce the concept of "Design Agents" for engineering applications, particularly focusing on the automotive design process, while emphasizing that our approach can be readily extended to other engineering and desig…
3D Shape RetrievalShape and Texture Recognition in Large Vision-Language Models
Shape and texture recognition is fundamental to visual perception. The ability to identify shapes regardless of orientation, texture, or context, and to recognize textures independently of their associated objects, is es…
3D Shape Recognition3D Shape RetrievalMaterial RecognitionTexture Image RetrievalINRet: A General Framework for Accurate Retrieval of INRs for Shapes
Implicit neural representations (INRs) have become an important method for encoding various data types, such as 3D objects or scenes, images, and videos. They have proven to be particularly effective at representing 3D c…
3D Scene Reconstruction3D Shape RetrievalRetrievalDiorama: Unleashing Zero-shot Single-view 3D Scene Modeling
Reconstructing structured 3D scenes from RGB images using CAD objects unlocks efficient and compact scene representations that maintain compositionality and interactability. Existing works propose training-heavy methods …
3D Shape RetrievalPose EstimationImplicit and Parametric Avatar Pose and Shape Estimation From a Single Frontal Image of a Clothed Human
In this paper, we tackle the challenge of three-dimensional estimation of expressive, animatable, and textured human avatars from a single frontal image. Leveraging a Skinned Multi-Person Linear (SMPL) parametric body, w…
3D Character Animation From A Single Photo3D Shape RetrievalComputational EfficiencyPose Estimation+1MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding
We introduce MM-Mixing, a multi-modal mixing alignment framework for 3D understanding. MM-Mixing applies mixing-based methods to multi-modal data, preserving and optimizing cross-modal connections while enhancing diversi…
3D Classification3D Object Recognition3D Shape RetrievalContrastive Learning+6KP-RED: Exploiting Semantic Keypoints for Joint 3D Shape Retrieval and Deformation
In this paper, we present KP-RED, a unified KeyPoint-driven REtrieval and Deformation framework that takes object scans as input and jointly retrieves and deforms the most geometrically similar CAD models from a pre-proc…
3D Shape RetrievalRetrievalGeneralizing Single-View 3D Shape Retrieval to Occlusions and Unseen Objects
Single-view 3D shape retrieval is a challenging task that is increasingly important with the growth of available 3D data. Prior work that has studied this task has not focused on evaluating how realistic occlusions impac…
3D Shape RetrievalDataset GenerationRetrievalUncertainty-Aware Cross-Modal Transfer Network for Sketch-Based 3D Shape Retrieval
In recent years, sketch-based 3D shape retrieval has attracted growing attention. While many previous studies have focused on cross-modal matching between hand-drawn sketches and 3D shapes, the critical issue of how to h…
3D Shape RetrievalRepresentation LearningRetrievalU-RED: Unsupervised 3D Shape Retrieval and Deformation for Partial Point Clouds
In this paper, we propose U-RED, an Unsupervised shape REtrieval and Deformation pipeline that takes an arbitrary object observation as input, typically captured by RGB images or scans, and jointly retrieves and deforms …
3D Shape RetrievalRetrievalViewFormer: View Set Attention for Multi-view 3D Shape Understanding
This paper presents ViewFormer, a simple yet effective model for multi-view 3d shape recognition and retrieval. We systematically investigate the existing methods for aggregating multi-view information and propose a nove…
3D Shape Recognition3D Shape RetrievalRetrievalDemocratising 2D Sketch to 3D Shape Retrieval Through Pivoting
This paper studies the problem of 2D sketch to 3D shape retrieval, but with a focus on democratising the process. We would like this democratisation to happen on two fronts: (i) to remove the need for large-scale spe…
3D Shape RetrievalImage RetrievalRetrievalSketch-Based Image Retrieval3D Shape Knowledge Graph for Cross-domain 3D Shape Retrieval
The surge in 3D modeling has led to a pronounced research emphasis on the field of 3D shape retrieval. Numerous contemporary approaches have been put forth to tackle this intricate challenge. Nevertheless, effectively ad…
3D Shape RetrievalCross-Modal RetrievalGraph EmbeddingRetrievalTowards 3D VR-Sketch to 3D Shape Retrieval
Growing free online 3D shapes collections dictated research on 3D retrieval. Active debate has however been had on (i) what the best input modality is to trigger retrieval, and (ii) the ultimate usage scenario for such r…
3D Shape RetrievalRetrievalFine-Grained VR Sketching: Dataset and Insights
We present the first fine-grained dataset of 1,497 3D VR sketch and 3D shape pairs of a chair category with large shapes diversity. Our dataset supports the recent trend in the sketch community on fine-grained data analy…
3D Shape Reconstruction3D Shape RetrievalDiversityRetrievalStructure-Aware 3D VR Sketch to 3D Shape Retrieval
We study the practical task of fine-grained 3D-VR-sketch-based 3D shape retrieval. This task is of particular interest as 2D sketches were shown to be effective queries for 2D images. However, due to the domain gap, it r…
3D Shape RetrievalRetrievalTripletSHREC'22 Track: Sketch-Based 3D Shape Retrieval in the Wild
Sketch-based 3D shape retrieval (SBSR) is an important yet challenging task, which has drawn more and more attention in recent years. Existing approaches address the problem in a restricted setting, without appropriately…
3D Object Retrieval3D Shape RetrievalRetrievalDomain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval
Sketch-based 3D shape retrieval is a challenging task due to the large domain discrepancy between sketches and 3D shapes. Since existing methods are trained and evaluated on the same categories, they cannot effectively r…
3D Shape RetrievalGenerative Adversarial NetworkRetrievalWord EmbeddingsPREMA: Part-based REcurrent Multi-view Aggregation Network for 3D Shape Retrieval
We propose the Part-based Recurrent Multi-view Aggregation network(PREMA) to eliminate the detrimental effects of the practical view defects, such as insufficient view numbers, occlusions or background clutters, and also…
3D Shape RetrievalRetrieval