Papers 3D Semantic Scene Completion
“3D Semantic Scene Completion” 태그가 달린 논문 80편 · 필터 해제
Geospatial-Prior Guidance for 3D Semantic Scene Completion
Inferring complete 3D geometry and semantics from onboard images remains challenging because occlusions and restricted fields of view leave large scene regions underconstrained. Although satellite imagery provides wide-a…
3D Semantic Scene CompletionSparsity-Aware Voxel Attention and Foreground Modulation for 3D Semantic Scene Completion
Monocular Semantic Scene Completion (SSC) aims to reconstruct complete 3D semantic scenes from a single RGB image, offering a cost-effective solution for autonomous driving and robotics. However, the inherently imbalance…
3D Semantic Scene CompletionAutonomous DrivingAdaptive Multi-Scale Channel-Spatial Attention Aggregation Framework for 3D Indoor Semantic Scene Completion Toward Assisting Visually Impaired
Independent indoor mobility remains a critical challenge for individuals with visual impairments, largely due to the limited capability of existing assistive systems in detecting fine-grained hazardous objects such as ch…
3D Semantic Scene CompletionMulti-Resolution Alignment for Voxel Sparsity in Camera-Based 3D Semantic Scene Completion
Camera-based 3D semantic scene completion (SSC) offers a cost-effective solution for assessing the geometric occupancy and semantic labels of each voxel in the surrounding 3D scene with image inputs, providing a voxel-le…
3D Semantic Scene CompletionAutonomous DrivingVOIC: Visible-Occluded Integrated Guidance for 3D Semantic Scene Completion
Camera-based 3D Semantic Scene Completion (SSC) is a critical task for autonomous driving and robotic scene understanding. It aims to infer a complete 3D volumetric representation of both semantics and geometry from a si…
3D Semantic Scene CompletionSemantic SegmentationScene UnderstandingAutonomous DrivingEnhancing 3D Semantic Scene Completion with a Refinement Module
We propose ESSC-RM, a plug-and-play Enhancing framework for Semantic Scene Completion with a Refinement Module, which can be seamlessly integrated into existing SSC models. ESSC-RM operates in two phases: a baseline SSC …
3D Semantic Scene CompletionTGSFormer: Scalable Temporal Gaussian Splatting for Embodied Semantic Scene Completion
Embodied 3D Semantic Scene Completion (SSC) infers dense geometry and semantics from continuous egocentric observations. Most existing Gaussian-based methods rely on random initialization of many primitives within predef…
3D Semantic Scene CompletionTowards 3D Object-Centric Feature Learning for Semantic Scene Completion
Vision-based 3D Semantic Scene Completion (SSC) has received growing attention due to its potential in autonomous driving. While most existing approaches follow an ego-centric paradigm by aggregating and diffusing featur…
3D Semantic Scene CompletionAutonomous DrivingTowards Temporal Fusion Beyond the Field of View for Camera-based Semantic Scene Completion
Recent camera-based 3D semantic scene completion (SSC) methods have increasingly explored leveraging temporal cues to enrich the features of the current frame. However, while these approaches primarily focus on enhancing…
3D Semantic Scene CompletionHD$^2$-SSC: High-Dimension High-Density Semantic Scene Completion for Autonomous Driving
Camera-based 3D semantic scene completion (SSC) plays a crucial role in autonomous driving, enabling voxelized 3D scene understanding for effective scene perception and decision-making. Existing SSC methods have shown ef…
3D Semantic Scene CompletionScene UnderstandingAutonomous DrivingCurriFlow: Curriculum-Guided Depth Fusion with Optical Flow-Based Temporal Alignment for 3D Semantic Scene Completion
Semantic Scene Completion (SSC) aims to infer complete 3D geometry and semantics from monocular images, serving as a crucial capability for camera-based perception in autonomous driving. However, existing SSC methods rel…
3D Semantic Scene CompletionAutonomous DrivingSPHERE: Semantic-PHysical Engaged REpresentation for 3D Semantic Scene Completion
Camera-based 3D Semantic Scene Completion (SSC) is a critical task in autonomous driving systems, assessing voxel-level geometry and semantics for holistic scene perception. While existing voxel-based and plane-based SSC…
3D Semantic Scene CompletionAutonomous DrivingUnleashing Semantic and Geometric Priors for 3D Scene Completion
Camera-based 3D semantic scene completion (SSC) provides dense geometric and semantic perception for autonomous driving and robotic navigation. However, existing methods rely on a coupled encoder to deliver both semantic…
3D Semantic Scene CompletionAutonomous DrivingSplatSSC: Decoupled Depth-Guided Gaussian Splatting for Semantic Scene Completion
Monocular 3D Semantic Scene Completion (SSC) is a challenging yet promising task that aims to infer dense geometric and semantic descriptions of a scene from a single image. While recent object-centric paradigms signific…
3D Semantic Scene CompletionOne Step Closer: Creating the Future to Boost Monocular Semantic Scene Completion
In recent years, visual 3D Semantic Scene Completion (SSC) has emerged as a critical perception task for autonomous driving due to its ability to infer complete 3D scene layouts and semantics from single 2D images. Howev…
3D Semantic Scene CompletionAutonomous DrivingDisentangling Instance and Scene Contexts for 3D Semantic Scene Completion
3D Semantic Scene Completion (SSC) has gained increasing attention due to its pivotal role in 3D perception. Recent advancements have primarily focused on refining voxel-level features to construct 3D scenes. However, tr…
3D Semantic Scene CompletionCamera-Only 3D Panoptic Scene Completion for Autonomous Driving through Differentiable Object Shapes
Autonomous vehicles need a complete map of their surroundings to plan and act. This has sparked research into the tasks of 3D occupancy prediction, 3D scene completion, and 3D panoptic scene completion, which predict a d…
3D Semantic Scene CompletionAutonomous DrivingAutonomous VehiclesDecision Making+1SGFormer: Satellite-Ground Fusion for 3D Semantic Scene Completion
Recently, camera-based solutions have been extensively explored for scene semantic completion (SSC). Despite their success in visible areas, existing methods struggle to capture complete scene semantics due to frequent v…
3D Semantic Scene CompletionVLScene: Vision-Language Guidance Distillation for Camera-Based 3D Semantic Scene Completion
Camera-based 3D semantic scene completion (SSC) provides dense geometric and semantic perception for autonomous driving. However, images provide limited information making the model susceptible to geometric ambiguity cau…
3D Semantic Scene CompletionAutonomous DrivingLanguage ModelingLanguage Modelling+1Vision-based 3D Semantic Scene Completion via Capture Dynamic Representations
The vision-based semantic scene completion task aims to predict dense geometric and semantic 3D scene representations from 2D images. However, the presence of dynamic objects in the scene seriously affects the accuracy o…
3D Semantic Scene CompletionAutonomous Driving