Papers Point cloud reconstruction
“Point cloud reconstruction” 태그가 달린 논문 101편 · 필터 해제
Argus: Leveraging Multiview Images for Improved 3-D Scene Understanding With Large Language Models
Advancements in foundation models have made it possible to conduct applications in various downstream tasks. Especially, the new era has witnessed a remarkable capability to extend Large Language Models (LLMs) for tackli…
3D Point Cloud ReconstructionPoint cloud reconstructionScene UnderstandingCurve-Aware Gaussian Splatting for 3D Parametric Curve Reconstruction
This paper presents an end-to-end framework for reconstructing 3D parametric curves directly from multi-view edge maps. Contrasting with existing two-stage methods that follow a sequential ``edge point cloud reconstructi…
Point cloud reconstructionDiffS-NOCS: 3D Point Cloud Reconstruction through Coloring Sketches to NOCS Maps Using Diffusion Models
Reconstructing a 3D point cloud from a given conditional sketch is challenging. Existing methods often work directly in 3D space, but domain variability and difficulty in reconstructing accurate 3D structures from 2D ske…
3D Point Cloud ReconstructionDecoderDenoisingPoint cloud reconstructionLess is More: Efficient Point Cloud Reconstruction via Multi-Head Decoders
We challenge the common assumption that deeper decoder architectures always yield better performance in point cloud reconstruction. Our analysis reveals that, beyond a certain depth, increasing decoder complexity leads t…
DecoderDiversityPoint cloud reconstructionEstimating the Diameter at Breast Height of Trees in a Forest With a Single 360 Camera
Forest inventories rely on accurate measurements of the diameter at breast height (DBH) for ecological monitoring, resource management, and carbon accounting. While LiDAR-based techniques can achieve centimeter-level pre…
Point cloud reconstructionGarmentGS: Point-Cloud Guided Gaussian Splatting for High-Fidelity Non-Watertight 3D Garment Reconstruction
Traditional 3D garment creation requires extensive manual operations, resulting in time and labor costs. Recently, 3D Gaussian Splatting has achieved breakthrough progress in 3D scene reconstruction and rendering, attrac…
3D Scene ReconstructionGarment ReconstructionPoint cloud reconstructionSC-NeRF: NeRF-based Point Cloud Reconstruction using a Stationary Camera for Agricultural Applications
This paper presents a NeRF-based framework for point cloud (PCD) reconstruction, specifically designed for indoor high-throughput plant phenotyping facilities. Traditional NeRF-based reconstruction methods require camera…
NeRFPlant PhenotypingPoint cloud reconstructionPose EstimationAIM2PC: Aerial Image to 3D Building Point Cloud Reconstruction
Three-dimensional urban reconstruction of buildings from single-view images has attracted significant attention over the past two decades. However, recent methods primarily focus on rooftops from aerial images, often ove…
DenoisingImage to 3DPoint cloud reconstructionR2LDM: An Efficient 4D Radar Super-Resolution Framework Leveraging Diffusion Model
We introduce R2LDM, an innovative approach for generating dense and accurate 4D radar point clouds, guided by corresponding LiDAR point clouds. Instead of utilizing range images or bird's eye view (BEV) images, we repres…
object-detectionObject DetectionPoint cloud reconstructionPoint Cloud Registration+2Dynamic Point Maps: A Versatile Representation for Dynamic 3D Reconstruction
DUSt3R has recently shown that one can reduce many tasks in multi-view geometry, including estimating camera intrinsics and extrinsics, reconstructing the scene in 3D, and establishing image correspondences, to the predi…
3D Object Tracking3D ReconstructionDepth EstimationDepth Prediction+5VGGT: Visual Geometry Grounded Transformer
We present VGGT, a feed-forward neural network that directly infers all key 3D attributes of a scene, including camera parameters, point maps, depth maps, and 3D point tracks, from one, a few, or hundreds of its views. T…
Depth EstimationNovel View Synthesisparameter estimationPoint cloud reconstruction+1Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors
This paper delves into the study of 3D point cloud reconstruction from a single image. Our objective is to develop the Consistency Diffusion Model, exploring synergistic 2D and 3D priors in the Bayesian framework to ensu…
3D Point Cloud Reconstruction3D ReconstructionPoint cloud reconstructionMambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling
Point cloud enhancement is the process of generating a high-quality point cloud from an incomplete input. This is done by filling in the missing details from a reference like the ground truth via regression, for example.…
MambaPoint Cloud CompletionPoint cloud reconstructionState Space ModelsBloomScene: Lightweight Structured 3D Gaussian Splatting for Crossmodal Scene Generation
With the widespread use of virtual reality applications, 3D scene generation has become a new challenging research frontier. 3D scenes have highly complex structures and need to ensure that the output is dense, coherent,…
Point cloud reconstructionScene GenerationEdgeMovingNet: Edge-preserving Point Cloud Reconstruction via Joint Geometry Features
Point cloud reconstruction is a critical process in 3D representation and reverse engineering. When it comes to CAD models, edges are significant features that play a crucial role in characterizing the geometry of 3D…
Point cloud reconstructionObitoNet: Multimodal High-Resolution Point Cloud Reconstruction
ObitoNet employs a Cross Attention mechanism to integrate multimodal inputs, where Vision Transformers (ViT) extract semantic features from images and a point cloud tokenizer processes geometric information using Farthes…
DecoderPoint Cloud GenerationPoint cloud reconstructionDSRC: Learning Density-insensitive and Semantic-aware Collaborative Representation against Corruptions
As a potential application of Vehicle-to-Everything (V2X) communication, multi-agent collaborative perception has achieved significant success in 3D object detection. While these methods have demonstrated impressive resu…
3D Object Detectionobject-detectionObject DetectionPoint cloud reconstructionHyperbolic-constraint Point Cloud Reconstruction from Single RGB-D Images
Reconstructing desired objects and scenes has long been a primary goal in 3D computer vision. Single-view point cloud reconstruction has become a popular technique due to its low cost and accurate results. However, singl…
3D Point Cloud Reconstruction3D ReconstructionPoint cloud reconstructionTripletCrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections
Reconstructing complex structures from planar cross-sections is a challenging problem, with wide-reaching applications in medical imaging, manufacturing, and topography. Out-of-the-box point cloud reconstruction methods …
3D ReconstructionPoint cloud reconstructionSPACE: 3D Spatial Co-operation and Exploration Framework for Robust Mapping and Coverage with Multi-Robot Systems
In indoor environments, multi-robot visual (RGB-D) mapping and exploration hold immense potential for application in domains such as domestic service and logistics, where deploying multiple robots in the same environment…
Point cloud reconstruction