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3D Object Retrieval
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Source: He et al
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
TeDA: Boosting Vision-Lanuage Models for Zero-Shot 3D Object Retrieval via Testing-time Distribution Alignment
Segment then Splat: A Unified Approach for 3D Open-Vocabulary Segmentation based on Gaussian Splatting
Beyond Bare Queries: Open-Vocabulary Object Grounding with 3D Scene Graph
EchoScene: Indoor Scene Generation via Information Echo over Scene Graph Diffusion
Diffusion Handles: Enabling 3D Edits for Diffusion Models by Lifting Activations to 3D
HOC-Search: Efficient CAD Model and Pose Retrieval from RGB-D Scans
SCA-PVNet: Self-and-Cross Attention Based Aggregation of Point Cloud and Multi-View for 3D Object Retrieval
SketchANIMAR: Sketch-based 3D Animal Fine-Grained Retrieval
TextANIMAR: Text-based 3D Animal Fine-Grained Retrieval
Automatically Annotating Indoor Images with CAD Models via RGB-D Scans
SHREC'22 Track: Sketch-Based 3D Shape Retrieval in the Wild
ROCA: Robust CAD Model Retrieval and Alignment from a Single Image
LATFormer: Locality-Aware Point-View Fusion Transformer for 3D Shape Recognition
Partial 3D Object Retrieval using Local Binary QUICCI Descriptors and Dissimilarity Tree Indexing
MVTN: Multi-View Transformation Network for 3D Shape Recognition
Gram Regularization for Multi-view 3D Shape Retrieval
RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D Shape Retrieval
An Indexing Scheme and Descriptor for 3D Object Retrieval Based on Local Shape Querying
Method for the generation of depth images for view-based shape retrieval of 3D CAD model from partial point cloud
Multiple Discrimination and Pairwise CNN for View-based 3D Object Retrieval
Geometric Disentanglement for Generative Latent Shape Models
View N-gram Network for 3D Object Retrieval
Rethinking Loss Design for Large-scale 3D Shape Retrieval
Learning a Disentangled Embedding for Monocular 3D Shape Retrieval and Pose Estimation
Angular Triplet-Center Loss for Multi-view 3D Shape Retrieval
Adversarial Autoencoders for Compact Representations of 3D Point Clouds
Triplet-Center Loss for Multi-View 3D Object Retrieval
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.