Papers 3D Semantic Scene Completion from a single RGB image
“3D Semantic Scene Completion from a single RGB image” 태그가 달린 논문 11편 · 필터 해제
Monocular Occupancy Prediction for Scalable Indoor Scenes
Camera-based 3D occupancy prediction has recently garnered increasing attention in outdoor driving scenes. However, research in indoor scenes remains relatively unexplored. The core differences in indoor scenes lie in th…
3D Semantic Scene Completion from a single RGB imagePredictionContext and Geometry Aware Voxel Transformer for Semantic Scene Completion
Vision-based Semantic Scene Completion (SSC) has gained much attention due to its widespread applications in various 3D perception tasks. Existing sparse-to-dense approaches typically employ shared context-independent qu…
3D Semantic Scene Completion from a single RGB imageNDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized Device Coordinates Space
Monocular 3D Semantic Scene Completion (SSC) has garnered significant attention in recent years due to its potential to predict complex semantics and geometry shapes from a single image, requiring no 3D inputs. In this p…
3D Semantic Scene Completion3D Semantic Scene Completion from a single 2D image3D Semantic Scene Completion from a single RGB imageDecoderSymphonize 3D Semantic Scene Completion with Contextual Instance Queries
`3D Semantic Scene Completion (SSC) has emerged as a nascent and pivotal undertaking in autonomous driving, aiming to predict voxel occupancy within volumetric scenes. However, prevailing methodologies primarily focus on…
3D Reconstruction3D Semantic Scene Completion3D Semantic Scene Completion from a single RGB imageAutonomous DrivingOccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction
The vision-based perception for autonomous driving has undergone a transformation from the bird-eye-view (BEV) representations to the 3D semantic occupancy. Compared with the BEV planes, the 3D semantic occupancy further…
3D Semantic Occupancy Prediction3D Semantic Scene Completion3D Semantic Scene Completion from a single RGB imageAutonomous Driving+3VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion
Humans can easily imagine the complete 3D geometry of occluded objects and scenes. This appealing ability is vital for recognition and understanding. To enable such capability in AI systems, we propose VoxFormer, a Trans…
3D geometry3D Semantic Scene Completion3D Semantic Scene Completion from a single RGB imageDepth Estimation+1MonoScene: Monocular 3D Semantic Scene Completion
MonoScene proposes a 3D Semantic Scene Completion (SSC) framework, where the dense geometry and semantics of a scene are inferred from a single monocular RGB image. Different from the SSC literature, relying on 2.5 or 3D…
3D Reconstruction3D Scene Reconstruction3D Semantic Scene Completion3D Semantic Scene Completion from a single RGB image+1Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion
LiDAR point cloud analysis is a core task for 3D computer vision, especially for autonomous driving. However, due to the severe sparsity and noise interference in the single sweep LiDAR point cloud, the accurate semantic…
3D Semantic Scene Completion3D Semantic Scene Completion from a single RGB image3D Semantic SegmentationAutonomous Driving+3LMSCNet: Lightweight Multiscale 3D Semantic Completion
We introduce a new approach for multiscale 3Dsemantic scene completion from voxelized sparse 3D LiDAR scans. As opposed to the literature, we use a 2D UNet backbone with comprehensive multiscale skip connections to enhan…
3D Semantic Scene Completion3D Semantic Scene Completion from a single RGB imageAnisotropic Convolutional Networks for 3D Semantic Scene Completion
As a voxel-wise labeling task, semantic scene completion (SSC) tries to simultaneously infer the occupancy and semantic labels for a scene from a single depth and/or RGB image. The key challenge for SSC is how to effecti…
3D Semantic Scene Completion3D Semantic Scene Completion from a single RGB image3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior
The goal of the Semantic Scene Completion (SSC) task is to simultaneously predict a completed 3D voxel representation of volumetric occupancy and semantic labels of objects in the scene from a single-view observation. Si…
3D Semantic Scene Completion3D Semantic Scene Completion from a single RGB imageHallucination