Papers 3D Object Retrieval
“3D Object Retrieval” 태그가 달린 논문 31편 · 필터 해제
DINO Eats CLIP: Adapting Beyond Knowns for Open-set 3D Object Retrieval
Vision foundation models have shown great promise for open-set 3D object retrieval (3DOR) through efficient adaptation to multi-view images. Leveraging semantically aligned latent space, previous work typically adapts th…
3D Object RetrievalDescribe, Adapt and Combine: Empowering CLIP Encoders for Open-set 3D Object Retrieval
Open-set 3D object retrieval (3DOR) is an emerging task aiming to retrieve 3D objects of unseen categories beyond the training set. Existing methods typically utilize all modalities (i.e., voxels, point clouds, multi-vie…
3D Object RetrievalPoint CloudsSAMURAI: Shape-Aware Multimodal Retrieval for 3D Object Identification
Retrieving 3D objects in complex indoor environments using only a masked 2D image and a natural language description presents significant challenges. The ROOMELSA challenge limits access to full 3D scene context, complic…
3D Object RetrievalObjectRe-RankingRetrievalTeDA: Boosting Vision-Lanuage Models for Zero-Shot 3D Object Retrieval via Testing-time Distribution Alignment
Learning discriminative 3D representations that generalize well to unknown testing categories is an emerging requirement for many real-world 3D applications. Existing well-established methods often struggle to attain thi…
3D Object RetrievalLanguage ModelingLanguage ModellingRetrieval+2Segment then Splat: A Unified Approach for 3D Open-Vocabulary Segmentation based on Gaussian Splatting
Open-vocabulary querying in 3D space is crucial for enabling more intelligent perception in applications such as robotics, autonomous systems, and augmented reality. However, most existing methods rely on 2D pixel-level …
3D Object RetrievalObjectSegmentationBeyond Bare Queries: Open-Vocabulary Object Grounding with 3D Scene Graph
Locating objects described in natural language presents a significant challenge for autonomous agents. Existing CLIP-based open-vocabulary methods successfully perform 3D object grounding with simple (bare) queries, but …
3D Object Retrieval3D Semantic SegmentationLanguage ModelingLanguage Modelling+3EchoScene: Indoor Scene Generation via Information Echo over Scene Graph Diffusion
We present EchoScene, an interactive and controllable generative model that generates 3D indoor scenes on scene graphs. EchoScene leverages a dual-branch diffusion model that dynamically adapts to scene graphs. Existing …
3D Object RetrievalDenoisingScene GenerationTexture SynthesisDiffusion Handles Enabling 3D Edits for Diffusion Models by Lifting Activations to 3D
Diffusion handles is a novel approach to enable 3D object edits on diffusion images requiring only existing pre-trained diffusion models depth estimation without any fine-tuning or 3D object retrieval. The edited res…
3D Object RetrievalDepth EstimationObjectRetrievalDiffusion Handles: Enabling 3D Edits for Diffusion Models by Lifting Activations to 3D
Diffusion Handles is a novel approach to enabling 3D object edits on diffusion images. We accomplish these edits using existing pre-trained diffusion models, and 2D image depth estimation, without any fine-tuning or 3D o…
3D Object RetrievalDepth EstimationObjectRetrievalHOC-Search: Efficient CAD Model and Pose Retrieval from RGB-D Scans
We present an automated and efficient approach for retrieving high-quality CAD models of objects and their poses in a scene captured by a moving RGB-D camera. We first investigate various objective functions to measure s…
3D Object Retrieval3D Scene ReconstructionPose RetrievalRetrieval+1SCA-PVNet: Self-and-Cross Attention Based Aggregation of Point Cloud and Multi-View for 3D Object Retrieval
To address 3D object retrieval, substantial efforts have been made to generate highly discriminative descriptors of 3D objects represented by a single modality, e.g., voxels, point clouds or multi-view images. It is prom…
3D Object RetrievalObjectRetrievalSketchANIMAR: Sketch-based 3D Animal Fine-Grained Retrieval
The retrieval of 3D objects has gained significant importance in recent years due to its broad range of applications in computer vision, computer graphics, virtual reality, and augmented reality. However, the retrieval o…
3D Object RetrievalRetrievalTextANIMAR: Text-based 3D Animal Fine-Grained Retrieval
3D object retrieval is an important yet challenging task that has drawn more and more attention in recent years. While existing approaches have made strides in addressing this issue, they are often limited to restricted …
3D Object RetrievalRetrievalAutomatically Annotating Indoor Images with CAD Models via RGB-D Scans
We present an automatic method for annotating images of indoor scenes with the CAD models of the objects by relying on RGB-D scans. Through a visual evaluation by 3D experts, we show that our method retrieves annotations…
3D Object RetrievalPose EstimationPose RetrievalSHREC'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 RetrievalRetrievalROCA: Robust CAD Model Retrieval and Alignment from a Single Image
We present ROCA, a novel end-to-end approach that retrieves and aligns 3D CAD models from a shape database to a single input image. This enables 3D perception of an observed scene from a 2D RGB observation, characterized…
3D Dense Shape Correspondence3D Object Detection From Monocular Images3D Object Retrieval3D Shape Reconstruction From A Single 2D ImageLATFormer: Locality-Aware Point-View Fusion Transformer for 3D Shape Recognition
Recently, 3D shape understanding has achieved significant progress due to the advances of deep learning models on various data formats like images, voxels, and point clouds. Among them, point clouds and multi-view images…
3D Object Classification3D Object Retrieval3D Shape Recognition3D Shape Retrieval+1Partial 3D Object Retrieval using Local Binary QUICCI Descriptors and Dissimilarity Tree Indexing
A complete pipeline is presented for accurate and efficient partial 3D object retrieval based on Quick Intersection Count Change Image (QUICCI) binary local descriptors and a novel indexing tree. It is shown how a modifi…
3D Object RetrievalRetrievalMVTN: Multi-View Transformation Network for 3D Shape Recognition
Multi-view projection methods have demonstrated their ability to reach state-of-the-art performance on 3D shape recognition. Those methods learn different ways to aggregate information from multiple views. However, the c…
3D Classification3D Object Retrieval3D Point Cloud Classification3D Shape Classification+4Gram Regularization for Multi-view 3D Shape Retrieval
How to obtain the desirable representation of a 3D shape is a key challenge in 3D shape retrieval task. Most existing 3D shape retrieval methods focus on capturing shape representation with different neural network archi…
3D Object Retrieval3D Shape RetrievalL2 RegularizationMulti-View 3D Shape Retrieval+1